You are currently viewing a new version of our website. To view the old version click .
Minerals
  • Review
  • Open Access

9 November 2025

Scheelite as a Strategic Tungsten Resource: A Bibliometric Study of Global and Chinese Technology Trends (1999–2024)

,
and
1
School of Marxism, Central South University, Changsha 410083, China
2
School of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China
*
Author to whom correspondence should be addressed.
This article belongs to the Section Mineral Processing and Extractive Metallurgy

Abstract

The global demand for strategic minerals like scheelite is growing rapidly due to technological advancements and emerging industries, making it a key global resource. However, there is a lack of integrated research on utilization technology of scheelite from a global perspective and exploring its future development direction. Bibliometric methods have been widely applied due to their advantages in the analysis of qualitative and quantitative literature information. Based on 1137 publications from the Web of Science Core Collection spanning 1999 to 2024, this study systematically examines the global and Chinese research trajectories and emerging frontiers in scheelite resource utilization technologies. A paradigm shift from fundamental geological and material property studies to green beneficiation, low-carbon metallurgy, and intelligent process optimization has been revealed. Key global research hotspots include flotation separation, surface chemistry regulation, LA-ICP-MS micro-analysis, and photoluminescence properties, whereas China has developed distinctive strengths in complex polymetallic ore separation, leaching kinetics, and tailings valorization. Chinese institutions contribute over 54% of worldwide output, with Central South University leading in publication volume, collaboration networks, and academic impact. Future efforts should prioritize intelligent process control, the efficient separation of complex polymetallic ores, and the high-value recovery of secondary resources.

1. Introduction

Scheelite (CaWO4) is critical to national economic growth and modern defense systems [,]. Alongside tungstate (PbWO4) and wolframite (FeWO4, MnWO4), it serves as a primary tungsten source [,]. Given the tungsten industry, the progressive depletion of wolframite deposits has markedly enhanced the industrial value of scheelite resources. Consequently, scheelite resources have emerged as a critical strategic resource for the global transition towards advanced manufacturing and clean energy technologies [,]. This shift in primary tungsten sources has redirected technical research toward scheelite mining, processing, and metallurgy, serving as a strategic directive to ensure the stability of the tungsten resource supply chain [,].
The geological scarcity of tungsten resources, particularly scheelite deposits, combined with the technical challenges of processing low-grade ores and the absence of economically viable substitutes, significantly heightens the fragility of the global supply chain [,]. Scheelite mineralization mainly takes place in skarn-type deposits. It forms when magmatic and hydrothermal fluids react with carbonate-rich sequences. These geological conditions essentially restrict the distribution of high-grade resources [,]. Moreover, the low grade and metallurgical complexity of wolframite, together with the absence of substitutes, further emphasize tungsten’s irreplaceable role in industrial applications [,]. From a geopolitical perspective, China is the dominant player in global tungsten production, accounting for over 81% of the world’s output. This concentration is heightened by various national export control measures and trade restrictions, which in turn increase supply sensitivity. For example, the United States funds domestic scheelite mining through the Defense Production Act, Russia imposed a tungsten export ban on NATO countries in 2023, Australia classified tungsten as a “national security mineral”, restricting foreign ownership under the Critical Minerals Policy of 2022, and the European Union mandated that manufacturers recover 95% of tungsten from end-of-life products through the Critical Raw Materials Act [,,,]. These policy changes and trade restrictions show that it is urgent to boost scheelite utilization technologies and address global supply chain vulnerabilities.
The technology for utilizing scheelite resources largely determines the global output of both scheelite concentrates and downstream tungsten derivatives. As shown in Figure 1, the integrated resource utilization system, which includes mining, processing, and metallurgical technologies, makes a significant contribution across the entire value chain, from scheelite ore bodies to finished industrial products [,,]. In the mining stage, physical separation methods are used to pre-enrich scheelite deposits with WO3 content exceeding 0.3% by 60–80%. This ensures economically viable extraction and minimizes downstream processing requirements [,]. In the processing stage, the aim is to produce high-grade scheelite concentrate. Techniques such as crushing, gravity separation, magnetic separation, and advanced flotation technology with specific collectors are used [,]. In the metallurgical stage, the concentrate is transformed into ammonium paratungstate or tungsten metal powder. This is performed through processes such as alkali leaching, solvent extraction, crystallization, and hydrogen reduction []. This technological system provides the foundation for manufacturing cemented carbide tools, high-performance alloys, and components for the electronics industry. It also enables a value shift from raw scheelite material at 200–300 USD/t to tungsten trioxide at 300–350 USD/t, and finally to tungsten carbide powder at 35,000–40,000 USD/t. Globally, scheelite utilization has evolved toward zero-waste, low-alkali leaching flowsheets and digital mine-to-metal optimization. China, in particular, has made breakthroughs in green smelting and intelligent manufacturing, achieving the economical utilization of low-grade ores [,].
Figure 1. Integrated utilization technology chain of scheelite resources.
As scheelite resources are increasingly becoming the primary source of tungsten, they have drawn significant attention from researchers. Conducting a systematic review of advancements in scheelite utilization is essential for thoroughly evaluating the technological trajectory and steering improvements in global capacity []. While the existing literature reviews the progress in scheelite mining, beneficiation, and hydrometallurgy, there are notable gaps in the macroscopic visualization and comprehensive analysis of research hotspots, evolutionary patterns, and frontier directions within this field [,,].
Bibliometric analysis is a widely used and rigorous method for examining and analyzing large amounts of scientific data. It can effectively retrieve, mine, analyze, and summarize potential patterns in large-scale datasets [,,]. Through mathematical statistics techniques, it analyzes published literature at the macro level. This helps reveal the development and evolution of specific research topics, understand the characteristics, priorities, and trends of the research field, and highlight emerging fields within these research areas [,]. Currently, major academic databases like Scopus and Web of Science (WoS) are equipped with research analysis modules. These modules enable scholars to rapidly summarize information such as the number of published papers, citation frequencies, research hotspots, and patterns of collaboration [,]. This study presents the first comprehensive bibliometric analysis exclusively dedicated to scheelite resource utilization, incorporating multiple visualization tools—Bibliometrix 4.5.0, CiteSpace 6.4.R1, VOSviewer 1.6.20, and Scimago Graphica Beta 1.0.50—to provide a more integrated and multidimensional understanding of the research landscape [,]. This includes major research-conducting countries, institutions, authors, journals, and references. It can also be used to identify key research directions and the evolution of key technologies [,]. Hence, the objectives of this survey are threefold: (1) to utilize bibliometric software to visually and comprehensively analyze the keyword clustering, author network, national contributions, journal citations, and literature co-occurrence patterns of 1137 retrieved articles; (2) to conduct a thorough review of mainstream technologies in scheelite development and utilization, emphasizing technical advantages and operational challenges; (3) to forecast new trends and potential breakthroughs in scheelite resource development and utilization technology research.

2. Data Sources and Methods

2.1. Data Source and Retrieval

The Web of Science Core Collection (WoSCC) is renowned as the most comprehensive database. Although mainly featuring English-language literature and having limited coverage of non-English journals and regional studies, it has achieved a data depth that is unmatched by Scopus, Dimensions, and CNKI by virtue of having the most comprehensive and coherent citation index, providing data for tracking long-term influence and core literature []. It encompasses not only basic details, such as titles, authors, institutions, keywords, and countries, but also citation information, and has been extensively utilized in prior bibliometric research. A literature search was conducted with the retrieval date set to 25 August 2025, employing the search string TS = (scheelite mining) OR TS = (scheelite processing) OR TS = (scheelite metallurgy). As the first relevant article in the database was published in 1999, the search period was defined from January 1999 to December 2024 [,,]. No document-type filter was applied; articles, reviews, and proceedings papers were all retained. Duplicate records were identified and removed using the WoSCC database’s built-in tools and manual validation. Further screening based on titles and abstracts ensured only research directly related to the topic was retained [,]. Ultimately, 1137 articles were obtained for analysis, as shown in Table S1. For a focused review of Chinese literature, the search was refined by setting “Countries/Regions” to “PEOPLES R CHINA.” This yielded 615 articles after removing duplicates and irrelevant literature. All selected literature was downloaded in the “Full Record and Cited References” format and saved as plain text files to facilitate subsequent bibliometric analysis. The document selection process and framework of this study are illustrated in Figure 2.
Figure 2. Bibliometric workflow for retrieving and analyzing the literature on scheelite resource utilization technology.

2.2. Data Processing and Graphing

This research utilized four analytical tools to systematically process and visualize the massive literature on scheelite resource utilization technology spanning the past 25 years. These tools include: (1) Bibliometrix; (2) VOSviewer; (3) CiteSpace; and (4) Scimago Graphica.
Bibliometrix is an R-based open-source package for extracting descriptive information from the literature, such as total publications, citations, research categories, key authors, countries, and institutions. It also supports multiple correspondence analysis to clarify keyword relationships and clustering, and can conduct topic evolution analysis to visualize research hotspots and trends [,]. VOSviewer and CiteSpace are Java-based visualization platforms used for network analysis, knowledge mapping, and bibliometric visualization. They extract key information from the literature, analyze correlations statistically, and create visual maps showing relationships among keywords, authors, countries, and institutions. VOSviewer specializes in building collaborative networks and revealing disciplinary structures and evolutionary patterns through distance-based visualization [,]. CiteSpace focuses on identifying emerging trends and research frontiers by analyzing temporal citation network patterns [,]. Scimago Graphica is used to visualize the global distribution of publications, offering insights into research trends and patterns across different regions and countries [,].
In this study, the Bibliometrix 4.5.0 was used to analyze publication characteristics, national contributions, and thematic evolution in scheelite resource utilization technology. VOSviewer 1.6.20 identified major institutions and their cooperative relationships, and analyzed research progress and hotspots through keyword co-occurrence graphs. CiteSpace 6.4.R1 provided structural and temporal analysis, established various co-citation networks, generated keyword burst detection maps, and analyzed the annual evolution of research hotspots. Scimago Graphica Beta 1.0.50 visualized the global publication distribution and country/region partnership map. These tools together provided strong technical support for understanding the research progress in this field [,,].

3. Results and Discussions

3.1. General Characteristics of Publications

The analysis of publication counts, document types, subject categories, annual distribution, and citation metrics provides a comprehensive view of the field’s productivity, diversity, trajectory, and scholarly impact [,,]. Table S2 presents the summary results of the relevant documents. Over the past 25 years, there has been a positive trend in the number of publications in this field globally, with an average annual growth rate of 2.7%. During this period, 4387 authors collectively contributed 1137 studies, averaging 5.35 authors per study. With single-authored papers making up only 2.02% of the total, the data underscore that academic achievements and literature publications are more often accomplished through teamwork rather than individual efforts []. Regarding international collaboration, 23.31% of the research involved joint efforts from researchers of different countries. This indicates that high-level academic output is increasingly dependent on cross-institutional and cross-border collaborative innovation [,]. By comparison, China has demonstrated a sustained surge in research enthusiasm in this field. China-based affiliations contributed 54.09% of all indexed publications and supplied 2507 unique authors (57.15% of the global contributor pool); manuscripts with at least one Chinese address averaged 5.97 authors, underscoring a highly collaborative authorship model. These metrics collectively indicate a sustained 10.03% compound annual growth rate that outpaces the worldwide average. Nevertheless, similar to the global situation, single-authored publications make up a low proportion of just 0.33%. Although China’s research output in this field has been on the rise, in terms of citation influence, the global literature’s average citation count is 24.74, compared to China’s 23.15. This indicates that there is still some room for improvement in the international influence of Chinese publications [,]. Additionally, China’s international collaboration rate of 18.92% is below the global average of 23.31%, suggesting that China has notable potential for expanding international cooperation [].
Figure 3A1,A2 presents the annual number of publications and citations per paper in the field of scheelite resource utilization technology, both globally and in China. In the global context, Figure 3A1 illustrates that research development can be categorized into three stages. During Stage I (1999–2009), the annual number of publications was relatively low and grew slowly. Citations per paper showed an overall upward trend with fluctuations, indicating limited research attention and progress. During Stage II (2010–2021), there was a gradual increase in both publications and citations per paper, reflecting gradually increasing academic attention in this field. However, during Stage III (2022–2024), a preliminary slight slowdown was observed in the growth of publications and citations per paper. Similarly, research in China, as shown in Figure 3A2, can be divided into three distinct stages. During Stage I (1999–2007), publications and citations per paper were low and remained almost flat, suggesting the field was in its early developmental stages. During Stage II (2008–2021), publications increased rapidly, with citations per paper rising gradually. During Stage III (2022–2024), the growth in both publications and citations per paper in China also showed signs of moderation based on the first 2–3 years. This trend indicates that even though research activity continues to be substantial, the field might be approaching a stage of adjustment as it becomes more established. Researchers are likely shifting their focus toward tackling more complex and innovative aspects of scheelite resource utilization technology [,,]. But continued monitoring is needed before concluding that the field has entered a mature adjustment phase.
Figure 3. Characteristic description of publications: annual output and citations ((A1) global, (A2) China); document-type distribution ((B1) global, (B2) China); top 10 WoS research categories ((C1) global, (C2) China) (Bibliometrix).
Figure 3B1,B2, respectively, show the distribution of literature types globally and in China. Globally, articles dominate with 1100 pieces, constituting 94.42%. Review articles, conference papers, early publications, and letters make up 3.09%, 1.97%, 0.43%, and 0.09%, respectively. In China, articles account for a higher proportion of 95.67%. Review articles, conference papers, and early accesses constitute 3.05%, 1.12%, and 0.16%, respectively, with no letters present. This shows that both globally and in China, most academic research findings are disseminated through full-length articles, and China has a higher proportion of this type [,]. In terms of review articles, conference papers, and early accesses, the global proportions exceed those in China. Thus, while full-length articles remain the primary communication vehicle worldwide, China exhibits an even stronger reliance on this format, with other document types playing a comparatively minor role [].
As illustrated in Figure 3C1,C2, the top 10 Web of Science categories for global and Chinese research on scheelite resource utilization technology reveal different research focuses. Globally, the leading disciplines are mineralogy (297, 26.12%), mining mineral processing (254, 22.34%), and multidisciplinary materials science (219, 19.26%). In China, the focus is on mineralogy (183, 29.76%) and mineral processing in the mining industry (182, 29.59%); together, these two categories account for almost 60% of the national output, well above the global figures. Notably, in China, the multidisciplinary fields of geology and materials science are tied for third place (120 each, 19.51%), whereas geology ranks fourth globally (173, 15.22%). Comparison shows that the research field distribution in scheelite resource utilization technology between China and the world is highly similar. However, China has a higher proportion of literature in mineralogy and mineral processing than the global average, indicating greater effort in mineral processing technology research [,]. In terms of comprehensive materials science, China’s literature proportion is slightly lower than the global proportion, suggesting room for improvement in global materials science research competition. Additionally, applied physics, unique to China’s top ten research fields, is not listed globally, making it one of China’s distinctive research directions [,,].

3.2. Publication Analysis by Journal and Reference

Analyzing the academic research landscape and knowledge foundation of a field can be approached through three key dimensions: journal distribution, co-cited journals, and co-cited references []. Journal distribution identifies major publishing platforms and research hotspots. Co-cited journals reveal links and thematic ties among different journals. Co-cited references highlight core literature that shapes the field’s knowledge base [,]. Table S3 lists the top 10 journals on scheelite resource utilization technology by publication count. Ore Geology Reviews, a Dutch journal with an IF of 3.2 and an H-index of 27, ranks first with 106 papers (9.33%), averaging 20.37 citations per paper. Minerals Engineering (46 papers, 4.05%) from England and Minerals (39 papers, 3.43%) from Switzerland also rank among the most productive. China’s Acta Petrologica Sinica (33 papers, 2.91%) and the Netherlands’ Hydrometallurgy (30 papers, 2.64%) underscore regional representation. Most of these journals (8/10) are in Q1, with IFs ranging from 1.7 (Acta Petrologica Sinica) to 5.8 (Journal of Alloys and Compounds). Citation metrics and JCR quartile rankings show that high-impact metallurgical and geological journals are key for disseminating scheelite utilization research [,,]. Geographically, European publishers dominate (9 journals), especially from England and the Netherlands, with China contributing one. Despite China’s significant paper output, its journals generally have lower average citations, IFs, and JCR rankings than some international journals, indicating room for improvement in academic influence and recognition [,,].
Figure 4A and Table S4 list the top 10 journals with the most co-citations in the field. Geochimica Et Cosmochimica Acta tops the list with 320 total citations, followed closely by Chemical Geology (306) and Ore Geology Reviews (300). Furthermore, Ore Geology Reviews has the highest centrality of 0.1, indicating its important position in the co-citation network []. These journals are from multiple countries, mainly the United States, the Netherlands, Germany, England, and Switzerland, showing the internationalization of research in this field. By comparing Tables S3 and S4, some overlap between the listed journals is observed, but they are not identical. Journals like Minerals and Acta Petrologica Sinica have many publications in Table S3 but rank lower in total citations in Table S4. Conversely, journals such as Geochimica Et Cosmochimica Acta and Chemical Geology appear in Table S4 but not in Table S3. Although these journals may not have a high volume of publications on scheelite resource utilization technology, they are extensively cited in this research domain. Journals with high publication volumes in Table S3 tend to focus on specific technical applications, such as hydrometallurgy and refractory metals [,]. In contrast, some journals with high co-citation counts in Table S4 focus more on fundamental theoretical research, like geochemistry and mineral chemistry [,].
Figure 4. Co-citation networks of journals (A) and references (B) (CiteSpace).
Figure 4B and Table S5 showcase the top 10 co-cited references in scheelite resources utilization technology. These highlight key research contributions and focal points in the field. The references, including reviews like “Froth Flotation of Scheelite—A Review” and articles, play a significant role in guiding research directions []. Research topics cover essential aspects such as scheelite flotation separation, rare earth element uptake, and trace element composition, representing the current hotspots in scheelite resources utilization technology research [,]. The references are mainly from 2015 to 2020, suggesting high recent research activity and rapid development in this field [,,,]. Six of the references involve Chinese researchers, reflecting China’s active participation and growing influence in this area [,,].
Therefore, global relevant research is mostly found in high-impact metallurgical and geological journals in Europe. The co-cited journals are interdisciplinary and of significant importance. The highly co-cited literature is concentrated in key directions such as the flotation separation of scheelite, indicating that the research is active and developing rapidly. Some Chinese journals have published work in this field, but they lag behind top international journals in citation counts, impact factors, and rankings. The performance of co-cited journals is not outstanding. However, Chinese researchers have a certain proportion of highly co-cited literature and have made outstanding contributions in aspects such as flotation separation. This disparity primarily reflects the substantial academic influence and comprehensive scope of international journals, whereas China still has considerable room to enhance both research investment and the depth of its international collaborations [,].

3.3. Publication Analysis by Country, Institution, and Author

3.3.1. Publication Analysis by Country

Figure 5A and Table S6 present the most productive countries and related data in the field of scheelite resource utilization technology. Among them, China’s performance was particularly outstanding, with a total of 614 published papers, ranking first and far exceeding other countries. This indicates considerable research output and academic visibility. Its average citation count is 22.02, the H-index is 57 (the highest value), and the centrality is 0.28, all of which are at relatively high levels. This indicates that Chinese research papers have received considerable recognition in academic circles, and there are a large number of high-quality research results in this field, occupying an important position. This is consistent with the conclusion in Table S5. In addition, countries such as Russia, the United States, Australia, and Canada have also maintained continuous input and output, showing strong performance in terms of average citation counts, H-index, and centrality [,,,,]. Although Brazil’s volume is modest, its average of 28.1 citations per paper is the highest in the cohort, reflecting comparatively high impact [,]. Regarding the initial year of research activities, most countries began their research outputs between 1999 and 2003, such as China, the United States, and Australia in 1999, while Brazil started later in 2003. This likely reflects the growing attention and development of this research field since the late 20th century [].
Figure 5. Country-level collaboration patterns: co-country network ((A), CiteSpace) and regional partnerships ((B), Scimago Graphica).
Figure 5B, created by Scimago Graphica, visually presents the collaborative relationships of countries in the field of scheelite resource utilization technology. Each circle represents a country, with its position determined by geographic location and its size reflecting the extent of collaboration. The lines denote partnerships between countries, with thickness indicating the strength of these collaborations []. China, Russia, and the United States, represented by the largest nodes, lead in scheelite resource technological research and development cooperation. Node size correlates positively with these three countries’ output in the field. Germany and France form the densest regional sub-network (centrality 0.24,0.26), using it to standardize low-impact flowsheets. Most of their co-authored papers embed life-cycle assessment metrics and cite EU critical raw materials policy, and their patents reference UN SDGs twice as often as the global mean. U.S. partnerships prioritize supply-risk modeling; more than half of federally funded scheelite studies quantify Herfindahl–Hirschman indices or stockpile draw-down scenarios. Russian cooperation, in contrast, focuses on geochronology—about 70% of Russian scheelite articles couple U-Pb dating of skarn deposits with grade-tonnage models. Chinese output, while largest in absolute number, concentrates on processing optimization technologies such as high-efficiency flotation reagents and alkali-pressure leaching [,]. Thus, Europe leverages its network to codify green recycling rules, the United States hardens supply-chain resilience, Russia expands the geological knowledge base, and China scales up beneficiation and utilization technologies. Meanwhile, African and South American nodes remain small and sparsely linked, indicating limited engagement in global scheelite research and development [,].

3.3.2. Publication Analysis by Institution

Through the visualization graph of the institutional collaboration network and the co-occurrence time dimension of institutions, the cooperative relationships among different institutions, as well as the changing research activity and correlation of institutions over time, can be clearly observed [,]. Figure 6A and Table S7 show that Central South University ranked first with 174 publications (15.32%), indicating a significant research output advantage in this field. The Chinese Academy of Sciences and China University of Geosciences followed with 76 (6.69%) and 57 (5.02%) publications, respectively, reflecting their substantial research capabilities. In terms of centrality, Central South University again ranked first with 0.15, followed by the Chinese Academy of Sciences (0.13) and China University of Geosciences (0.08), highlighting their influential roles in knowledge dissemination and research cooperation. Other institutions like Nanjing University, with 18 publications (1.58%) and a relatively high centrality ranking (4th), also demonstrate notable research and collaboration activity. The Russian Academy of Sciences, despite having 36 publications (3.17%), ranked lower in centrality (10th) and degree (9th), suggesting limited influence in the cooperation network. The Chinese Academy of Geological Sciences, ranking 4th in total publications, showed room for improvement in centrality (5th). Overall, Chinese institutions dominate this research area, reflecting strong national research capacity and investment. Central South University’s leading performance across all metrics implies unique advantages in research direction, team building, and resource allocation [,]. The network analysis also indicates that research cooperation is widespread in this field, with institutional collaborations facilitating knowledge exchange, innovation, and accelerating research output and application [,].
Figure 6. Institutional networks: co-occurrence map (A) and temporal overlay of collaborations (B) (CiteSpace and VOSviewer).
Figure 6B shows the color changes from 1999 to 2024. Blue nodes mark early actors; yellow nodes indicate recent entrants. By observing the color distribution of the nodes, one can understand the changes in the activity levels and collaboration patterns of the institutions across different time periods []. Around 2000, research in this field was primarily led by traditional institutions with profound scientific research backgrounds. Institutions such as the Russian Academy of Sciences, the Chinese Academy of Sciences, and the University of Otago performed outstandingly [,,]. However, as can be seen from the figure, the cooperative network at that time was relatively simple, with few connections between institutions. Around 2010, as research deepened and expanded, more institutions began to engage in this field. The involvement of institutions like Central South University, the Chinese Academy of Geological Sciences, and Curtin University has injected new vitality and research directions into this field [,,]. During this period, cooperation among institutions gradually increased and connections became more complex. This reflects that the research network has gradually taken shape and expanded, and communication and cooperation among various institutions have become increasingly frequent. Around 2020, emerging institutions or those with outstanding performances in new research directions began to appear in the graph, such as Jiangxi University of Science and Technology and the Helmholtz Association [,,]. The participation of emerging institutions in the research network and their establishment of connections with other institutions indicate that this field continues to attract new research forces, introducing novel techniques and fostering interdisciplinary integration that keeps the field’s hotspots evolving.

3.3.3. Publication Analysis by Author

Figure 7A,B and Table S8 present the academic output and collaborative influence of scholars in this research field from different perspectives. Among the top ten authors, nine are from China. Specifically, six are from Central South University, one from Xinjiang Institute of Technology, one from Hangzhou Dianzi University, and one from the University of Hong Kong. This indicates that China has a significant academic output advantage in this research field, especially at Central South University, whose research teams dominate in terms of quantity. The first publication years of Chinese authors range from 2004 to 2020. This reflects the continuous active research activities in this field in China, as well as the increasing number of researchers joining in [,,]. Only one author is from another country, namely Longo Elson, from Universidade Federal de Sao Carlos in Brazil. The first publication year was 2003 [,]. This indicates that in terms of the total number of published papers, researchers from other countries are relatively few, and China has a distinct quantitative advantage in this field. This is consistent with the data in Table S2. Among the top 10 co-authors, the presence of “Unknown” as the highest co-cited entity (280 co-citations) is possibly attributable to incomplete metadata or unlinked references []. In addition, six are from China: three from Central South University, one from the Chinese Academy of Geological Sciences, one from the University of Science and Technology, and one from the University of the Chinese Academy of Sciences. This indicates that Chinese authors also have a strong performance in international cooperation and in the influence of research achievements [,]. Especially at Central South University, its researchers not only lead in the total number of published papers, but also play a leading role in the citation count of co-authored works. Three are from other countries or regions, including Australia, the United States, Iran, etc. This indicates that in terms of the citation count of co-authored works, the influence of international cooperation and cross-regional research is relatively significant, and researchers from multiple countries have a high level of cooperative influence in this field [].
Figure 7. Author collaboration and impact: co-authorship network (A) and co-cited authors (B) (CiteSpace).
Table S9 presents the 10 most highly cited publications in the field. The study by Yu et al. in Advanced Functional Materials ranks first with 861 citations, demonstrating how structural distortion in BiVO4 influences its photocatalytic activity by modifying hole mobility within the Bi 6s/O 2p valence band []. Among these top-cited works, the majority (seven publications) are research articles, complemented by two review papers and one hybrid publication classified as both an article and a proceedings paper [,,,,,,]. This distribution underscores how seminal research articles that establish new scientific directions tend to achieve the highest citation impact. Notably, one review paper also appears among the top 10 co-cited references (Table S5), highlighting how comprehensive review articles that synthesize fundamental knowledge consistently attract significant citations [,]. Geographically, these influential publications represent international collaboration across seven countries/regions: Japan, China, the United States/Canada, South Korea, Brazil, Spain, and Germany. While China demonstrates clear dominance in research workforce size and output volume, the most impactful scientific breakthroughs continue to emerge from global research networks [,].

3.4. Keyword Analysis and Emerging Trends

3.4.1. Keyword Co-Occurrence Analysis

Keywords are indispensable for distilling the essence of research conclusions []. Therefore, to identify research hotspots and developmental trends in scheelite utilization technology, we performed keyword co-occurrence analyses for both global and Chinese corpora (Figure 8). Each node represents a keyword, with node size proportional to its occurrence frequency; links denote co-occurrence relationships, and link thickness reflects co-occurrence intensity. Colors delineate topic clusters, with nodes of the same color being more closely related [,].
Figure 8. Keyword co-occurrence networks: global (A1) and China (B1). Temporal evolution overlay networks: global (A2) and China (B2) (VOSviewer).
Comparative evaluation revealed three persistent pillars, shown in Figure 8A1,B1: (i) process fundamentals, where “surface-chemistry”, “selective flotation”, “scheelite” and “apatite” consistently occupy the most central positions; (ii) target commodities, with “tungsten” and its principal carrier “scheelite (CaWO4)” dominating the semantic core; and (iii) an analytical backbone in which “emission”, “nanoparticles” and related spectroscopic descriptors underpin the worldwide shift toward nanoscale and in situ characterization [,,,,,]. Overlay visualizations (Figure 8A2,B2) further confirm a synchronized temporal gradient—from blue (2000) to yellow/red (2020)—that charts the global evolution from classical flotation chemistry to advanced, micro-analytically informed separation science [,,].
Nevertheless, the global and Chinese landscapes diverge in focus and framing, and these divergences are rooted in contrasting resource bases, industrial structures, and policy drivers. Global maps (Figure 8A1,A2) embed tungsten research within a broader multi-metal context, featuring distinct clusters for “cassiterite”, “wolframite”, “gold deposits”, and “granites”, while “oxiodynamics” and “degradation” are diffusely distributed, signaling a sustainability-oriented, multi-commodity agenda without strong geographic anchoring [,]. This pattern arises because scheelite is largely recovered as a by-product from polymetallic skarns and orogenic veins (0.2–0.4% WO3), where payable Sn, Au, and Cu credits favor bulk-sulfide flotation and generic reagent suites, sustainability funding further steers research toward reagent recyclability and tailings “oxiodynamics” []. In contrast, China-centric maps (Figure 8B1,B2) are geographically explicit and hydrometallurgically intensive. A solvent-extraction cluster, comprising “solvent-extraction”, “fractionation”, “hydroxide”, and “acid”, occupies a dominant position that is largely absent on the global maps. This cluster is tightly coupled with the Yangtze River Valley, Anhui Province, and A-type granites, and is further linked to “pyrite–copper separation” and “nanoparticles” [,]. The Chinese network also integrates geochronological tools such as “LA-ICP-MS”, “Sm-Nd”, and “Re-Os” more systematically, underscoring a localized agenda that merges downstream hydrometallurgical refining, polymetallic resource utilization, and precise crustal evolution studies []. With high capacity, China must monetize vast tonnages of low-grade (0.1–0.25% WO3) Yangtze River porphyry-skarn ore that lack payable co-product credits, driving a technology shift toward high-efficiency hydrometallurgy (pressure alkali leaching, solvent extraction, continuous ion-exchange) capable of economically treating lean concentrates. National “Double-Carbon” and “Zero-Waste Mine” mandates further tie metal recovery to CO2 auditing, so precise LA-ICP-MS/Sm–Nd/Re–Os fingerprinting is required to certify deep (>1 000 m) extensions and closed-loop flowsheets [,].

3.4.2. Timeline View Analysis

The Timeline View of CiteSpace is used to visualize the temporal evolution process of keywords or research topics, helping to identify the dynamic changes in the hotspots of the field research [,]. Figure 9A and Table S10 identified nine distinct keyword clusters for global scheelite utilization technology research. The largest cluster (#0 fluid evolution; 136 members, silhouette 0.914) centers on regional ore genesis and geochronology (zircon U–Pb dating, skarn tectonics, fluid inclusions), confirming that classical geochemical investigations remain the primary knowledge base [,,]. The second-largest cluster (#1 optical properties; 114 members, silhouette 0.807) and the fifth-largest cluster (#4 photocatalytic activity; 46 members, silhouette 0.880) are materials-oriented, focusing on the synthesis, luminescence, and photocatalytic behavior of tungstate/molybdate micro- and nanostructures; both have plateaued since 2015 [,,,]. By contrast, the third-largest cluster (#2 flotation separation; 71 members, silhouette 0.801) and the fourth-largest cluster (#3 synthetic scheelite; 48 members, silhouette 0.856) have expanded rapidly, driven by advances in flotation surface chemistry (hydroxamic acids, Pb–BHA complexes, DFT-aided adsorption mechanisms) and hydrometallurgical intensification (sulfuric acid leaching, solvent extraction, deep-eutectic solvents), respectively [,,,]. The most recent keyword influx signals a worldwide shift toward low-temperature, low-carbon, and data-driven process optimization [,].
Figure 9. The timeline view of keyword clusters: global (A) and China (B) (Citespace).
For China, eight clusters were delineated, as shown in Figure 9B and Table S11, revealing a policy-governed trajectory. The largest cluster (#0 fluid evolution; 111 members, silhouette 0.885) parallels the global ore-genesis theme but is explicitly anchored in South China’s Mesozoic tungsten province [,,]. The second-largest cluster (#1 luminescent properties; 73 members, silhouette 0.850) centers on “CaWO4, Eu3+/Dy3+ doping, up-conversion luminescence, hydrothermal synthesis, LED red phosphor”. The CaWO4, Eu3+/Dy3+ phosphors are now used in 660 nm horticultural LEDs and as anti-counterfeit inks for banknotes [,]. Cluster #2, labeled “flotation depressants and interfacial engineering”, displays the steepest temporal gradient and now approaches the global #2 cluster in size, underscoring China’s recent surge in selective-flotation research. Pilot plants in Hunan already deploy these new depressants, cutting reagent costs by 18% while raising scheelite recovery from 74% to 82% in 2024 campaigns [,]. Cluster #3, designated “synthetic scheelite”, focuses on solvent extraction and secondary tungsten recycling. However, keywords such as “wastewater zero discharge” remain isolated, highlighting a continuing disconnect between environmental control technologies and mainstream process design [,]. Keyword occurrences in 2020–2021 (“tungsten tailing backfill”) and 2023 (“carbon peak & neutrality”) coincide with the promulgation of national ecological restoration regulations and dual-carbon targets, demonstrating the decisive influence of governmental directives on domestic research priorities [,,,].

3.4.3. Keyword Burst Analysis

To track the latest advancements and emerging hotspots in scheelite resource utilization technology, we identified the 25 keywords with the most significant citation bursts from 1999 to 2024 (Table 1 and Table 2). Horizontal bars depict the temporal popularity of these keywords, with red segments denoting peak burst years [].
Table 1. Top 25 keywords with strongest citation bursts for global dataset (Citespace).
Table 2. Top 22 keywords with strongest citation bursts for China dataset (Citespace).
Table 1 reveals a clear paradigm shift in global scheelite research. During 1999–2016, the strongest bursts were dominated by materials chemistry (CaWO4, crystals, thin films, luminescence) and fundamental geochemistry (deposits, origin), with strengths > 8.0 and durations of 5–7 years. After 2017, these terms faded, and “collector” (6.66, 2017–2022), “calcite” (4.70, 2017–2020), and “separation” (6.44, 2019–2024) emerged, indicating that selective-flotation and micro-analytical techniques are now at the forefront [,,,]. Table 2 shows that China followed a “follow–parallel–lead” trajectory. From 2005 to 2014, bursts in “crystals”, “hydrothermal synthesis”, and “growth” mirrored the global pattern, albeit with 10–30% lower intensities, reflecting a catch-up phase. A synchronized surge in “nanoparticles”, “hydrothermal synthesis”, and “photoluminescence” during 2015–2018 signaled parallel innovation. Subsequently, China exhibited an independent burst of “leaching kinetics” (3.41, 2021–2022), aligned with national dual-carbon policies, while the global community continues to concentrate on “separation” [,,,,]. This divergence underscores the accelerating transition from laboratory-scale functional materials to industrially oriented, low-carbon metallurgy within the Chinese research ecosystem.
Collectively, the post-2017 surge of separation-related bursts predated—but was subsequently amplified by—two external drivers: (i) supply-risk policies, notably the EU’s 2020 Critical Raw Materials Action Plan and the 2021 Industrial Deep Decarbonisation Initiative led by Germany and South Korea, both of which list tungsten as strategic for “green-steel” and explicitly call for breakthrough beneficiation; and (ii) China’s sequential low-carbon mandates, from the 2016–2020 key R&D programs that first funded hydrometallurgical alternatives to the 2030/2060 dual-carbon pledge that channeled further resources into routes avoiding the 900 °C roasting step and cutting energy use by ~35%. These policy signals reinforced an already unfolding scholarly shift from crystal-growth studies to calcite-selective flotation and low-temperature leaching [,,]. Consequently, the continued absence of AI-driven or machine learning keywords with citation bursts suggests a timely opportunity to embed data-driven reagent optimization within these policy-aligned, low-carbon flowsheets, potentially forming the next disruptive research wave [,].

4. Conclusions and Perspectives

In conclusion, bibliometric evidence from 1999 to 2024 delineates a clear evolutionary trajectory for scheelite resource utilization technology. Globally, research has shifted from fundamental geochemical and material-focused studies to green beneficiation and data-driven optimization that prioritize low-carbon, high-efficiency, and intelligent processes [,,,]. Guided by national policies, China has transitioned from following global trends to operating in parallel and, in some areas, to achieving local leadership in flotation reagents, tailings reclamation, and dual-carbon technologies [,].
Nevertheless, breakthrough-level original theories remain scarce, and critical technologies such as AI-driven whole-process optimization and zero-liquid-discharge systems have yet to achieve rapid, large-scale adoption [,,]. Future efforts should therefore strengthen interdisciplinary synergy and international collaboration by focusing on (i) AI-driven process optimization in mineral beneficiation and digital mining, (ii) carbon-neutral and low-carbon metallurgical technologies aligned with global sustainability goals, (iii) circular economy approaches, including the recovery and reuse of valuable elements from tungsten tailings, and (iv) intelligent process control systems enabling real-time monitoring and efficiency improvements, to establish a secure, sustainable and intelligent scheelite resources utilization [].

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/min15111181/s1.

Author Contributions

Conceptualization, Z.G. and J.C.; methodology, Z.G. and L.G.; formal analysis, J.C.; investigation, Z.G.; data curation, Z.G. and J.C.; writing—original draft preparation, Z.G.; writing—review and editing, Z.G. and L.G.; supervision, J.C.; funding acquisition, Z.G. and J.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Key Research and Development Program of China for Deep Earth Science and Technology [2025ZD1007003], Research Foundation of the Department of Natural Resources of Hunan Province [HBZ20240148], The Laboratory Open Project of Central South University in 2025, the Natural Science Foundation of China [52274287], the National Key Laboratory of Nickel-Cobalt Co-associated Resources Development and hensive Utilization (GZSYS-KY-2024-067), and Key Laboratory of Strategic Mineral Resources in the Upper Reaches of the Yellow River, Ministry of Natural Resources (YSMRKF202401).

Data Availability Statement

Data are contained within the article and Supplementary Materials.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Wang, X.; Qin, W.Q.; Jiao, F.; Dong, L.Y.; Guo, J.G.; Zhang, J.; Yang, C.R. Review of tungsten resource reserves, tungsten concentrate production and tungsten beneficiation technology in China. Trans. Nonferrous Met. Soc. China 2022, 32, 2318–2338. [Google Scholar] [CrossRef]
  2. Zhao, Z.W.; Li, J.T.; Wang, S.B.; Li, H.G.; Liu, M.S.; Sun, P.M.; Li, Y.J. Extracting tungsten from scheelite concentrate with caustic soda by autoclaving process. Hydrometallurgy 2011, 108, 152–156. [Google Scholar] [CrossRef]
  3. Srinivas, K.; Sreenivas, T.; Natarajan, R.; Padmanabhan, N.P.H. Studies on the recovery of tungsten from a composite wolframite-scheelite concentrate. Hydrometallurgy 2000, 58, 43–50. [Google Scholar] [CrossRef]
  4. Chen, Y.; Huo, G.; Guo, X.; Chen, J. A review of flowsheets for tungsten recovery from scheelite, wolframite and secondary resources and challenges for sustainable production. Hydrometallurgy 2025, 234, 106455. [Google Scholar] [CrossRef]
  5. Brazdil, J.F. Scheelite: A versatile structural template for selective alkene oxidation catalysts. Catal. Sci. Technol. 2015, 5, 3452–3458. [Google Scholar] [CrossRef]
  6. Zheng, Q.; Zhou, Y.; Qiao, L.; Shen, P.; Mao, Y.; Dong, L.; Liu, D. Selective adsorption of soluble starch on the cassiterite surface for effective flotation separation of scheelite from cassiterite. Surf. Interfaces 2024, 48, 104238. [Google Scholar] [CrossRef]
  7. Li, T.T.; Shen, Y.B.; Zhao, S.K.; Zhou, P.F.; Zhong, X.X.; Gao, S.L.; Wei, D.Z.; Meng, F.L. Synthesis and in-situ noble metal modification of WO3•0.33H2O nanorods from a tungsten-containing mineral for enhancing NH3 sensing performance. Chin. Chem. Lett. 2020, 31, 2037–2040. [Google Scholar] [CrossRef]
  8. Errandonea, D.; Manjón, F.J.; Somayazulu, M.; Häusermann, D. Effects of pressure on the local atomic structure of CaWO4 and YLiF4: Mechanism of the scheelite-to-wolframite and scheelite-to-fergusonite transitions. J. Solid State Chem. 2004, 177, 1087–1097. [Google Scholar] [CrossRef]
  9. Kempe, U.; Belyatsky, B.V.; Krymsky, R.S.; Kremenetsky, A.A.; Ivanov, P.A. Sm-Nd and Sr isotope systematics of scheelite from the giant Au(-W) deposit Muruntau (Uzbekistan): Implications for the age and sources of Au mineralization. Miner. Depos. 2001, 36, 379–392. [Google Scholar] [CrossRef]
  10. Deng, R.D.; Yang, X.F.; Hu, Y.; Ku, J.G.; Zuo, W.R.; Ma, Y.Q. Effect of Fe(II) as assistant depressant on flotation separation of scheelite from calcite. Miner. Eng. 2018, 118, 133–140. [Google Scholar] [CrossRef]
  11. Qiu, Z.W.; Deng, X.H.; Qi, N.; Huang, P.C.; Yao, J.M.; Li, Z.S.; Chen, Y.J. Geochemistry of garnet and scheelite as indicators for skarn-type Mo-W mineralization: A case study from the Shibaogou deposit, Qinling Orogen, China. Ore Geol. Rev. 2024, 175, 106370. [Google Scholar] [CrossRef]
  12. Lu, H.Z.; Liu, Y.M.; Wang, C.L.; Xu, Y.Z.; Li, H.Q. Mineralization and fluid inclusion study of the Shizhuyuan W-Sn-Bi-Mo-F skarn deposit, Hunan province, Cehina. Econ. Geol. Bull. Soc. Econ. Geol. 2003, 98, 955–974. [Google Scholar] [CrossRef]
  13. Ai, G.; Yang, X.; Li, X. Flotation characteristics and flotation kinetics of fine wolframite. Powder Technol. 2017, 305, 377–381. [Google Scholar] [CrossRef]
  14. Bohlouli, A.; Afshar, M.R.; Aboutalebi, M.R.; Seyedein, S.H. Optimization of tungsten leaching from low manganese wolframite concentrate using Response Surface Methodology (RSM). Int. J. Refract. Met. Hard Mater. 2016, 61, 107–114. [Google Scholar] [CrossRef]
  15. Calvo, G.; Valero, A. Strategic mineral resources: Availability and future estimations for the renewable energy sector. Environ. Dev. 2022, 41, 100640. [Google Scholar] [CrossRef]
  16. Vikentiev, I.V. Critical and Strategic Minerals in the Russian Federation. Geol. Ore Depos. 2023, 65, 481–493. [Google Scholar] [CrossRef]
  17. Zuo, Z.; Cheng, J.; Guo, H.; Li, Y. Knowledge mapping of research on strategic mineral resource security: A visual analysis using CiteSpace. Resour. Policy 2021, 74, 102372. [Google Scholar] [CrossRef]
  18. Kalantzakos, S. The Race for Critical Minerals in an Era of Geopolitical Realignments. Int. Spect. 2020, 55, 1–16. [Google Scholar] [CrossRef]
  19. Brugger, J.; Lahaye, Y.; Costa, S.; Lambert, D.; Bateman, R. Inhomogeneous distribution of REE in scheelite and dynamics of Archaean hydrothermal systems (Mt. Charlotte and Drysdale gold deposits, Western Australia). Contrib. Mineral. Petrol. 2000, 139, 251–264. [Google Scholar] [CrossRef]
  20. Sczancoski, J.C.; Cavalcante, L.S.; Marana, N.L.; da Silva, R.O.; Tranquilin, R.L.; Joya, M.R.; Pizani, P.S.; Varela, J.A.; Sambrano, J.R.; Li, M.S.; et al. Electronic structure and optical properties of BaMoO4 powders. Curr. Appl. Phys. 2010, 10, 614–624. [Google Scholar] [CrossRef]
  21. Zhu, L.J.; Zhu, Y.M.; Xiong, W.L.; Zhou, Z.; Gao, P.; Han, Y.X. Aluminium-Modified sodium silicate as a selective depressant in Fluorite-Dolomite Flotation: Experimental and DFT analysis. Miner. Eng. 2025, 228, 109318. [Google Scholar] [CrossRef]
  22. Zheng, F.; Qin, K.; Cook, N.J.; Li, G.; Ciobanu, C.L.; Xu, Y.; Song, G. Geology, geochronology, and geochemistry of the Gaojiabang tungsten-molybdenum deposit, Anhui Province, Southeast China. Ore Geol. Rev. 2023, 157, 105432. [Google Scholar] [CrossRef]
  23. Yue, T.; Han, H.S.; Hu, Y.H.; Wei, Z.; Wang, J.J.; Wang, L.; Sun, W.; Yang, Y.; Sun, L.; Liu, R.H.; et al. Beneficiation and Purification of Tungsten and Cassiterite Minerals Using Pb-BHA Complexes Flotation and Centrifugal Separation. Minerals 2018, 8, 566. [Google Scholar] [CrossRef]
  24. Corpas-Martinez, J.R.; Perez, A.; Navarro-Dominguez, R.; Amor-Castillo, C.; Martin-Lara, M.A.; Calero, M. Comparison Between Performance of Fluorite Flotation Under Different Depressants Reagents in Two Pieces of Laboratory Equipment. Appl. Sci. 2020, 10, 5667. [Google Scholar] [CrossRef]
  25. Chen, X.D.; Liu, W.G.; Zhang, J.; Bao, L.Y.; Liu, W.B.; Shen, Y.B. Application and mechanistic insights of high-performance sodium phytate-based combined depressant in flotation of dolomite-rich magnesite ore. J. Clean. Prod. 2025, 503, 145415. [Google Scholar] [CrossRef]
  26. Lei, Y.; Sun, F.; Liu, X.; Zhao, Z. Understanding the wet decomposition processes of tungsten ore: Phase, thermodynamics and kinetics. Hydrometallurgy 2022, 213, 105928. [Google Scholar] [CrossRef]
  27. Rutledge, J.; Anderson, C.G. Tannins in Mineral Processing and Extractive Metallurgy. Metals 2015, 5, 1520–1542. [Google Scholar] [CrossRef]
  28. Li, H.G. Production of high purity APT from scheelite and complex tungsten raw material with high Mo content. Trans. Nonferrous Met. Soc. China 2004, 14, 366–369. [Google Scholar]
  29. Alguacil, F.J.; Alonso, M. Recovery of Tungsten from Raw and Secondary Materials Using Hydrometallurgical Processing. Metals 2025, 15, 799. [Google Scholar] [CrossRef]
  30. El-bahi, A.; Taha, Y.; Ait-Khouia, Y.; Hakkou, R.; Benzaazoua, M. Advancing phosphate ore minerals separation with sustainable flotation reagents: An investigation into highly selective biobased depressants. Adv. Colloid Interface Sci. 2023, 317, 102921. [Google Scholar] [CrossRef]
  31. Wei, Z.; Sun, W.; Han, H.S.; Gui, X.H.; Xing, Y.W. Flotation chemistry of scheelite and its practice: A comprehensive review. Miner. Eng. 2023, 204, 108404. [Google Scholar] [CrossRef]
  32. Wang, X.; Qin, W.Q.; Jiao, F.; Yang, C.R.; Li, W.; Zhang, Z.Q.; Zhou, J.M.; Guo, J.G.; Zhang, J. Review on development of low-grade scheelite recovery from molybdenum tailings in Luanchuan, China: A case study of Luoyang Yulu Mining Company. Trans. Nonferrous Met. Soc. China 2022, 32, 980–998. [Google Scholar] [CrossRef]
  33. Mukherjee, D.; Lim, W.M.; Kumar, S.; Donthu, N. Guidelines for advancing theory and practice through bibliometric research. J. Bus. Res. 2022, 148, 101–115. [Google Scholar] [CrossRef]
  34. Donthu, N.; Kumar, S.; Mukherjee, D.; Pandey, N.; Lim, W.M. How to conduct a bibliometric analysis: An overview and guidelines. J. Bus. Res. 2021, 133, 285–296. [Google Scholar] [CrossRef]
  35. Wei, P.Y.; Abid, M.; Adun, H.; Awoh, D.K.; Cai, D.S.; Zaini, J.H.; Bamisile, O. Progress in Energy Storage Technologies and Methods for Renewable Energy Systems Application. Appl. Sci. 2023, 13, 5626. [Google Scholar] [CrossRef]
  36. Mishra, D.; Gunasekaran, A.; Papadopoulos, T.; Hazen, B. Green supply chain performance measures: A review and bibliometric analysis. Sustain. Prod. Consum. 2017, 10, 85–99. [Google Scholar] [CrossRef]
  37. Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F. Science Mapping Software Tools: Review, Analysis, and Cooperative Study Among Tools. J. Am. Soc. Inf. Sci. Technol. 2011, 62, 1382–1402. [Google Scholar] [CrossRef]
  38. Chen, C.M.; Song, M. Visualizing a field of research: A methodology of systematic scientometric reviews. PLoS ONE 2019, 14, e0223994. [Google Scholar] [CrossRef]
  39. Bornmann, L.; Mutz, R. Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references. J. Assoc. Inf. Sci. Technol. 2015, 66, 2215–2222. [Google Scholar] [CrossRef]
  40. Singh, V.K.; Singh, P.; Karmakar, M.; Leta, J.; Mayr, P. The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics 2021, 126, 5113–5142. [Google Scholar] [CrossRef]
  41. Wu, L.; Miao, H.; Liu, T. Development in Agricultural Ecosystems’ Carbon Emissions Research: A Visual Analysis Using CiteSpace. Agronomy 2024, 14, 1288. [Google Scholar] [CrossRef]
  42. Li, Z.; Du, C. Current status and research hotspots of pesticide-containing wastewater treatment: Systematic review and bibliometric analysis. J. Water Process Eng. 2025, 69, 106738. [Google Scholar] [CrossRef]
  43. van Eck, N.J.; Waltman, L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 2010, 84, 523–538. [Google Scholar] [CrossRef]
  44. Xing, Z.; Fu, W.; Li, L.; Wu, S. Bibliometric analysis of microplastics research: Advances and future directions (2020–2024). Cont. Shelf Res. 2025, 285, 105371. [Google Scholar] [CrossRef]
  45. Gürmen, S.; Timur, S.; Arslan, C.; Duman, I. Acidic leaching of scheelite concentrate and production of hetero-poly-tungstate salt. Hydrometallurgy 1999, 51, 227–238. [Google Scholar] [CrossRef]
  46. Welham, N.J. Non-thermal production of tungsten from scheelite. Mater. Sci. Technol. 1999, 15, 456–458. [Google Scholar] [CrossRef]
  47. Craw, D.; Windle, S.J.; Angus, P.V. Gold mineralization without quartz veins in a ductile-brittle shear zone, Macraes Mine, Otago Schist, New Zealand. Miner. Depos. 1999, 34, 382–394. [Google Scholar] [CrossRef]
  48. Olawumi, T.O.; Chan, D.W.M. A scientometric review of global research on sustainability and sustainable development. J. Clean. Prod. 2018, 183, 231–250. [Google Scholar] [CrossRef]
  49. Yeung, A.W.K. A revisit to the specification of sub-datasets and corresponding coverage timespans when using Web of Science Core Collection. Heliyon 2023, 9, e21527. [Google Scholar] [CrossRef]
  50. Aria, M.; Cuccurullo, C. bibliometrix: An R-tool for comprehensive science mapping analysis. J. Informetr. 2017, 11, 959–975. [Google Scholar] [CrossRef]
  51. Zhou, X.; Li, T.; Ma, X. A bibliometric analysis of comparative research on the evolution of international and Chinese green supply chain research hotspots and frontiers. Environ. Sci. Pollut. Res. 2021, 28, 6302–6323. [Google Scholar] [CrossRef]
  52. Kemec, A.; Altinay, A.T. Sustainable Energy Research Trend: A Bibliometric Analysis Using VOSviewer, RStudio Bibliometrix, and CiteSpace Software Tools. Sustainability 2023, 15, 3618. [Google Scholar] [CrossRef]
  53. van Eck, N.J.; Waltman, L. Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics 2017, 111, 1053–1070. [Google Scholar] [CrossRef]
  54. Chen, C.; Hu, Z.; Liu, S.; Tseng, H. Emerging trends in regenerative medicine: A scientometric analysis in CiteSpace. Expert Opin. Biol. Ther. 2012, 12, 593–608. [Google Scholar] [CrossRef]
  55. Chernysh, Y.; Yakhnenko, O.; Chubur, V.; Roubik, H. Phosphogypsum Recycling: A Review of Environmental Issues, Current Trends, and Prospects. Appl. Sci. 2021, 11, 1575. [Google Scholar] [CrossRef]
  56. Chen, C. A Glimpse of the First Eight Months of the COVID-19 Literature on Microsoft Academic Graph: Themes, Citation Contexts, and Uncertainties. Front. Res. Metr. Anal. 2020, 5, 607286. [Google Scholar] [CrossRef] [PubMed]
  57. Liu, X.; Zhao, S.; Tan, L.; Tan, Y.; Wang, Y.; Ye, Z.; Hou, C.; Xu, Y.; Liu, S.; Wang, G. Frontier and hot topics in electrochemiluminescence sensing technology based on CiteSpace bibliometric analysis. Biosens. Bioelectron. 2022, 201, 113932. [Google Scholar] [CrossRef]
  58. Hassan-Montero, Y.; De-Moya-Anegon, F.; Guerrero-Bote, V.P. SCImago Graphica: A new too for exploring and visually communicating data. Prof. De La Inf. 2022, 31, e310502. [Google Scholar] [CrossRef]
  59. Chen, H.; Chen, F.; Luo, J.; Chen, S. Analysis of research trends and hotspots in emergency department overcrowding: A bibliometric study based on VOSview and Scimago Graphica. Technol. Health Care 2025, 33, 1159–1168. [Google Scholar] [CrossRef]
  60. Gao, Z.; Zhang, C.; McFadzean, B. A Bibliometric Analysis of Fluorite Resource Utilization Technology: Global and Chinese Development in the Past 25 Years. Minerals 2025, 15, 679. [Google Scholar] [CrossRef]
  61. Li, J.; Jovanovic, A.; Klimek, P.; Guo, X. Bibliometric analysis of fracking scientific literature. Scientometrics 2015, 105, 1273–1284. [Google Scholar] [CrossRef]
  62. Ahmed, E.M. Hydrogel: Preparation, characterization, and applications: A review. J. Adv. Res. 2015, 6, 105–121. [Google Scholar] [CrossRef]
  63. Silva, L.A.; Garrot, T.G.; Pereira, A.M.; Correia, J.C.G. Historical perspective and bibliometric analysis of molecular modeling applied in mineral flotation systems. Miner. Eng. 2021, 170, 107062. [Google Scholar] [CrossRef]
  64. Gazni, A.; Sugimoto, C.R.; Didegah, F. Mapping World Scientific Collaboration: Authors, Institutions, and Countries. J. Am. Soc. Inf. Sci. Technol. 2012, 63, 323–335. [Google Scholar] [CrossRef]
  65. Shen, L.; Li, X.; Zhou, Q.; Peng, Z.; Liu, G.; Qi, T.; Taskinen, P. Sustainable and efficient leaching of tungsten in ammoniacal ammonium carbonate solution from the sulfuric acid converted product of scheelite. J. Clean. Prod. 2018, 197, 690–698. [Google Scholar] [CrossRef]
  66. Graupner, T.; Niedermann, S.; Kempe, U.; Klemd, R.; Bechtel, A. Origin of ore fluids in the Muruntau gold system: Constraints from noble gas, carbon isotope and halogen data. Geochim. Et Cosmochim. Acta 2006, 70, 5356–5370. [Google Scholar] [CrossRef]
  67. Choi, S. Core-periphery, new clusters, or rising stars?: International scientific collaboration among ‘advanced’ countries in the era of globalization. Scientometrics 2012, 90, 25–41. [Google Scholar] [CrossRef]
  68. Shi, W.; Yang, W.; Du, D. The scientific cooperation network of chinese scientists and its proximity mechanism. Sustainability 2020, 12, 660. [Google Scholar] [CrossRef]
  69. Zhou, P.; Glanzel, W. In-depth analysis on China’s international cooperation in science. Scientometrics 2010, 82, 597–612. [Google Scholar] [CrossRef]
  70. Qin, W.Q.; Hu, J.J.; Zhu, H.L.; Jiao, F.; Jia, W.H.; Han, J.W.; Chen, C. Effect of depressants on flotation separation of magnesite from dolomite and calcite. Int. J. Min. Sci. Technol. 2023, 33, 83–91. [Google Scholar] [CrossRef]
  71. Jiang, Z.S.; He, G.C.; Shi, Y.; Duan, Y.L.; Lin, Y.; Jiang, Y.M. Contrasting effects of waste glass and scheelite tailings additions upon the properties of tailings-based foam ceramics and its mechanisms. J. Clean. Prod. 2024, 450, 142025. [Google Scholar] [CrossRef]
  72. Dong, L.Y.; Cui, Y.R.; Qiao, L.D.; Lan, S.Z.; Zheng, Q.F.; Shen, P.L.; Liu, D.W. A critical review on the flotation of calcium-containing minerals. Sep. Purif. Technol. 2025, 360, 131082. [Google Scholar] [CrossRef]
  73. Liu, X.H.; Zhai, J.P.; Chen, X.Y.; Li, J.T.; He, L.H.; Sun, F.L.; Zhao, Z.W. Recovery of Tungsten in the Process of Preparation of Calcium Sulfate Whiskers from Scheelite Decomposed Residue. Acs Sustain. Chem. Eng. 2022, 10, 13194–13204. [Google Scholar] [CrossRef]
  74. Gao, Z.Y.; Fan, R.Y.; Ralston, J.; Sun, W.; Hu, Y.H. Surface broken bonds: An efficient way to assess the surface behaviour of fluorite. Miner. Eng. 2019, 130, 15–23. [Google Scholar] [CrossRef]
  75. Marlton, F.P.; Mullens, B.G.; Chater, P.A.; Kennedy, B.J. Tetrahedral Displacive Disorder in the Scheelite-Type Oxide RbReO4. Inorg. Chem. 2022, 61, 15130–15137. [Google Scholar] [CrossRef]
  76. Song, G.X.; Qin, K.Z.; Li, G.M.; Evans, N.J.; Chen, L. Scheelite elemental and isotopic signatures: Implications for the genesis of skarn-type W-Mo deposits in the Chizhou Area, Anhui Province, Eastern China. Am. Mineral. 2014, 99, 303–317. [Google Scholar] [CrossRef]
  77. Sun, X.M.; Zhang, Y.; Xiong, D.X.; Sun, W.D.; Shi, G.Y.; Zhai, W.; Wang, S.W. Crust and mantle contributions to gold-forming process at the Daping deposit, Ailaoshan gold belt, Yunnan, China. Ore Geol. Rev. 2009, 36, 235–249. [Google Scholar] [CrossRef]
  78. Guo, Y.N.; Yang, X.; Ma, F.Y.; Li, K.X.; Xu, L.; Yuan, X.; Guo, Y.H. Additive-free controllable fabrication of bismuth vanadates and their photocatalytic activity toward dye degradation. Appl. Surf. Sci. 2010, 256, 2215–2222. [Google Scholar] [CrossRef]
  79. Ren, L.; Jin, L.; Wang, J.B.; Yang, F.; Qiu, M.Q.; Yu, Y. Template-free synthesis of BiVO4 nanostructures: I. Nanotubes with hexagonal cross sections by oriented attachment and their photocatalytic property for water splitting under visible light. Nanotechnology 2009, 20, 115603. [Google Scholar] [CrossRef]
  80. Zhou, D.; Li, J.; Pang, L.X.; Wang, D.W.; Reaney, I.M. Novel water insoluble (NaxAg2-x) MoO4 (0 ≤ x ≤ 2) microwave dielectric ceramics with spinel structure sintered at 410 degrees. J. Mater. Chem. C 2017, 5, 6086–6091. [Google Scholar] [CrossRef]
  81. Bittermann, A.; McNamara, D.; Simonsmeier, B.A.A.; Schneider, M. The Landscape of Research on Prior Knowledge and Learning: A Bibliometric Analysis. Educ. Psychol. Rev. 2023, 35, 58. [Google Scholar] [CrossRef]
  82. Liu, H.; Hong, R.; Xiang, C.; Lv, C.; Li, H. Visualization and analysis of mapping knowledge domains for spontaneous combustion studies. Fuel 2020, 262, 116598. [Google Scholar] [CrossRef]
  83. Yang, B.; Huang, K.; Sun, D.; Zhang, Y. Mapping the scientific research on non-point source pollution: A bibliometric analysis. Environ. Sci. Pollut. Res. 2017, 24, 4352–4366. [Google Scholar] [CrossRef]
  84. Liu, Y.F.; Jiang, S.H.; Bagas, L. The genesis of metal zonation in the Weilasituo and Bairendaba Ag-Zn-Pb-Cu-(Sn-W) deposits in the shallow part of a porphyry Sn-W-Rb system, Inner Mongolia, China. Ore Geol. Rev. 2016, 75, 150–173. [Google Scholar] [CrossRef]
  85. Schmidt, C.; Romer, R.L.; Wohlgemuth-Ueberwasser, C.C.; Appelt, O. Partitioning of Sn and W between granitic melt and aqueous fluid. Ore Geol. Rev. 2020, 117, 103263. [Google Scholar] [CrossRef]
  86. Zhu, H.L.; Qin, W.Q.; Chen, C.; Chai, L.Y.; Jiao, F.; Jia, W.H. Flotation separation of fluorite from calcite using polyaspartate as depressant. Miner. Eng. 2018, 120, 80–86. [Google Scholar] [CrossRef]
  87. Gao, Z.Y.; Gao, Y.S.; Zhu, Y.Y.; Hu, Y.H.; Sun, W. Selective Flotation of Calcite from Fluorite: A Novel Reagent Schedule. Minerals 2016, 6, 114. [Google Scholar] [CrossRef]
  88. Jiang, S.Y.; Peng, N.J.; Huang, L.C.; Xu, Y.M.; Zhan, G.L.; Dan, X.H. Geological characteristic and ore genesis of the giant tungsten deposits from the Dahutang ore-concentrated district in northern Jiangxi Province. Acta Petrol. Sin. 2015, 31, 639–655. [Google Scholar]
  89. Sun, X.M.; Xiong, D.X.; Wang, S.W.; Shi, G.Y.; Zhai, W. Noble gases isotopic composition of fluid inclusions in scheelites collected from Daping gold mine, Yunnan province, China, and its application for ore genesis. Acta Petrol. Sin. 2006, 22, 725–732. [Google Scholar]
  90. Upham, S.P.; Small, H. Emerging research fronts in science and technology: Patterns of new knowledge development. Scientometrics 2010, 83, 15–38. [Google Scholar] [CrossRef]
  91. Thongtem, T.; Kungwankunakorn, S.; Kuntalue, B.; Phuruangrat, A.; Thongtem, S. Luminescence and absorbance of highly crystalline CaMoO4, SrMoO4, CaWO4 and SrWO4 nanoparticles synthesized by co-precipitation method at room temperature. J. Alloys Compd. 2010, 506, 475–481. [Google Scholar] [CrossRef]
  92. Li, J.; Zhao, Z. Kinetics of scheelite concentrate digestion with sulfuric acid in the presence of phosphoric acid. Hydrometallurgy 2016, 163, 55–60. [Google Scholar] [CrossRef]
  93. Hoskin, P.W.O. Trace-element composition of hydrothermal zircon and the alteration of Hadean zircon from the Jack Hills, Australia. Geochim. Et Cosmochim. Acta 2005, 69, 637–648. [Google Scholar] [CrossRef]
  94. Brugger, J.; Etschmann, B.; Pownceby, M.; Liu, W.; Grundler, P.; Brewe, D. Oxidation state of europium in scheelite: Tracking fluid-rock interaction in gold deposits. Chem. Geol. 2008, 257, 26–33. [Google Scholar] [CrossRef]
  95. Kupka, N.; Rudolph, M. Froth flotation of scheelite—A review. Int. J. Min. Sci. Technol. 2018, 28, 373–384. [Google Scholar] [CrossRef]
  96. Zhao, W.W.; Zhou, M.-F.; Williams-Jones, A.E.; Zhao, Z. Constraints on the uptake of REE by scheelite in the Baoshan tungsten skarn deposit, South China. Chem. Geol. 2018, 477, 123–136. [Google Scholar] [CrossRef]
  97. Yang, X.S. Beneficiation studies of tungsten ores—A review. Miner. Eng. 2018, 125, 111–119. [Google Scholar] [CrossRef]
  98. Sun, K.; Chen, B. Trace elements and Sr-Nd isotopes of scheelite: Implications for the W-Cu-Mo polymetallic mineralization of the Shimensi deposit, South China. Am. Mineral. 2017, 102, 1114–1128. [Google Scholar] [CrossRef]
  99. Gao, Y.; Gao, Z.; Sun, W.; Yin, Z.; Wang, J.; Hu, Y. Adsorption of a novel reagent scheme on scheelite and calcite causing an effective flotation separation. J. Colloid Interface Sci. 2018, 512, 39–46. [Google Scholar] [CrossRef]
  100. Gao, Z.; Bai, D.; Sun, W.; Cao, X.; Hu, Y. Selective flotation of scheelite from calcite and fluorite using a collector mixture. Miner. Eng. 2015, 72, 23–26. [Google Scholar] [CrossRef]
  101. Shen, L.T.; Li, X.B.; Lindberg, D.; Taskinen, P. Tungsten extractive metallurgy: A review of processes and their challenges for sustainability. Miner. Eng. 2019, 142, 105934. [Google Scholar] [CrossRef]
  102. Feng, B.; Luo, X.; Wang, J.; Wang, P. The flotation separation of scheelite from calcite using acidified sodium silicate as depressant. Miner. Eng. 2015, 80, 45–49. [Google Scholar] [CrossRef]
  103. Poulin, R.S.; Kontak, D.J.; McDonald, A.; McClenaghan, M.B. Assessing scheelite as an ore-deposit discriminator using its trace-element and Ree chemistry. Can. Mineral. 2018, 56, 265–302. [Google Scholar] [CrossRef]
  104. Sciuba, M.; Beaudoin, G.; Grzela, D.; Makvandi, S. Trace element composition of scheelite in orogenic gold deposits. Miner. Depos. 2020, 55, 1149–1172. [Google Scholar] [CrossRef]
  105. Glanzel, W.; Moed, H.F. Journal impact measures in bibliometric research. Scientometrics 2002, 53, 171–193. [Google Scholar] [CrossRef]
  106. Lariviere, V.; Gingras, Y. On the Relationship Between Interdisciplinarity and Scientific Impact. J. Am. Soc. Inf. Sci. Technol. 2010, 61, 126–131. [Google Scholar] [CrossRef]
  107. Kaminskii, A.A.; McCray, C.L.; Lee, H.R.; Lee, S.W.; Temple, D.A.; Chyba, T.H.; Marsh, W.D.; Barnes, J.C.; Annanenkov, A.N.; Legun, V.D.; et al. High efficiency nanosecond Raman lasers based on tetragonal PbWO4 crystals. Opt. Commun. 2000, 183, 277–287. [Google Scholar] [CrossRef]
  108. Seiler, R.L.; Stollenwerk, K.G.; Garbarino, J.R. Factors controlling tungsten concentrations in ground water, Carson Desert, Nevada. Appl. Geochem. 2005, 20, 423–441. [Google Scholar] [CrossRef]
  109. Bateman, R.; Hagemann, S. Gold mineralisation throughout about 45 Ma of Archaean orogenesis: Protracted flux of gold in the Golden Mile, Yilgarn craton, Western Australia. Miner. Depos. 2004, 39, 536–559. [Google Scholar] [CrossRef]
  110. Brugger, J.; Maas, R.; Lahaye, Y.; McRae, C.; Ghaderi, M.; Costa, S.; Lambert, D.; Bateman, R.; Prince, K. Origins of Nd-Sr-Pb isotopic variations in single scheelite grains from Archaean gold deposits, Western Australia. Chem. Geol. 2002, 182, 203–225. [Google Scholar] [CrossRef]
  111. Sczancoski, J.C.; Cavalcante, L.S.; Joya, M.R.; Espinosa, J.W.M.; Pizani, P.S.; Varela, J.A.; Longo, E. Synthesis, growth process and photoluminescence properties of SrWO4 powders. J. Colloid Interface Sci. 2009, 330, 227–236. [Google Scholar] [CrossRef]
  112. Cavalcante, L.S.; Sczancoski, J.C.; Lima, L.F.; Espinosa, J.W.M.; Pizani, P.S.; Varela, J.A.; Longo, E. Synthesis, Characterization, Anisotropic Growth and Photoluminescence of BaWO4. Cryst. Growth Des. 2009, 9, 1002–1012. [Google Scholar] [CrossRef]
  113. Kudo, A. Development of photocatalyst materials for water splitting with the aim at photon energy conversion. J. Ceram. Soc. Jpn. 2001, 109, S81–S88. [Google Scholar] [CrossRef]
  114. Han, Z.D.; Golev, A.; Edraki, M. A Review of Tungsten Resources and Potential Extraction from Mine Waste. Minerals 2021, 11, 701. [Google Scholar] [CrossRef]
  115. Yu, X.; Chen, Y.; Li, Y.; Hong, J.; Hua, F. A bibliometric mapping study of the literature on oral health-related quality of life. J. Evid.-Based Dent. Pract. 2023, 23, 101780. [Google Scholar] [CrossRef] [PubMed]
  116. Thangadurai, V.; Knittlmayer, C.; Weppner, W. Metathetic room temperature preparation and characterization of scheelite-type ABO4 (A = Ca, Sr, Ba, Pb; B = Mo, W) powders. Mater. Sci. Eng. B-Solid State Mater. Adv. Technol. 2004, 106, 228–233. [Google Scholar] [CrossRef]
  117. Abdalla, M.A.M.; Peng, H.Q.; Wu, D.; Abusin, L.; Mbah, T.J. Prediction of Hydrophobic Reagent for Flotation Process Using Molecular Modeling. Acs Omega 2018, 3, 6483–6496. [Google Scholar] [CrossRef]
  118. Babicki, S.; Arndt, D.; Marcu, A.; Liang, Y.; Grant, J.R.; Maciejewski, A.; Wishart, D.S. Heatmapper: Web-enabled heat mapping for all. Nucleic Acids Res. 2016, 44, W147–W153. [Google Scholar] [CrossRef]
  119. Boyack, K.W. Thesaurus-based methods for mapping contents of publication sets. Scientometrics 2017, 111, 1141–1155. [Google Scholar] [CrossRef]
  120. Zhang, C.H.; Wei, S.; Hu, Y.H.; Tang, H.H.; Gao, J.D.; Yin, Z.G.; Guan, Q.J. Selective adsorption of tannic acid on calcite and implications for separation of fluorite minerals. J. Colloid Interface Sci. 2018, 512, 55–63. [Google Scholar] [CrossRef]
  121. Zhu, Y.N.; Peng, J.T. Infrared microthermometric and noble gas isotope study of fluid inclusions in ore minerals at the Woxi orogenic Au-Sb-W deposit, western Hunan, South China. Ore Geol. Rev. 2015, 65, 55–69. [Google Scholar] [CrossRef]
  122. Zhou, W.G.; Chen, H.; Ou, L.M.; Shi, Q. Aggregation of ultra-fine scheelite particles induced by hydrodynamic cavitation. Int. J. Miner. Process. 2016, 157, 236–240. [Google Scholar] [CrossRef]
  123. Milojevic, S. Modes of Collaboration in Modern Science: Beyond Power Laws and Preferential Attachment. J. Am. Soc. Inf. Sci. Technol. 2010, 61, 1410–1423. [Google Scholar] [CrossRef]
  124. Elidrissi, B.; Addou, M.; Regragui, M.; Monty, C.; Bougrine, A.; Kachouane, A. Structural and optical properties of CeO2 thin films prepared by spray pyrolysis. Thin Solid Film. 2000, 379, 23–27. [Google Scholar] [CrossRef]
  125. Bukar, U.A.; Sayeed, M.S.; Razak, S.F.A.; Yogarayan, S.; Amodu, O.A.; Mahmood, R.A.R. A method for analyzing text using VOSviewer. Methodsx 2023, 11, 102339. [Google Scholar] [CrossRef]
  126. Ding, X.; Yang, Z. Knowledge mapping of platform research: A visual analysis using VOSviewer and CiteSpace. Electron. Commer. Res. 2022, 22, 787–809. [Google Scholar] [CrossRef]
  127. Zyryanov, V.V. Mechanochemical synthesis of M′MO4 oxides with the scheelite structure. Inorg. Mater. 2000, 36, 54–59. [Google Scholar] [CrossRef]
  128. Orlovskii, Y.V.; Basiev, T.T.; Vorob’ev, I.N.; Orlovskaya, E.O.; Barnes, N.P.; Mirov, S.B. Temperature dependencies of excited states lifetimes and relaxation rates of 3–5 phonon (4–6 μm) transitions in the YAG, LuAG and YLF crystals doped with trivalent holmium, thulium, and erbium. Opt. Mater. 2002, 18, 355–365. [Google Scholar] [CrossRef]
  129. Peng, J.T.; Hu, R.Z.; Burnard, P.G. Samarium-neodymium isotope systematics of hydrothermal calcites from the Xikuangshan antimony deposit (Hunan, China): The potential of calcite as a geochronometer. Chem. Geol. 2003, 200, 129–136. [Google Scholar] [CrossRef]
  130. Cheng, Y.B.; Mao, J.W.; Rusk, B.; Yang, Z.X. Geology and genesis of Kafang Cu-Sn deposit, Gejiu district, SW China. Ore Geol. Rev. 2012, 48, 180–196. [Google Scholar] [CrossRef]
  131. Li, C.; Zhou, L.M.; Zhao, Z.; Zhang, Z.Y.; Zhao, H.; Li, X.W.; Qu, W.J. In-situ Sr isotopic measurement of scheelite using fs-LA-MC-ICPMS. J. Asian Earth Sci. 2018, 160, 38–47. [Google Scholar] [CrossRef]
  132. Cavosie, A.J.; Erickson, T.M.; Timms, N.E. Nanoscale records of ancient shock deformation: Reidite (ZrSiO4) in sandstone at the Ordovician Rock Elm impact crater. Geology 2015, 43, 315–318. [Google Scholar] [CrossRef]
  133. Wang, T.; Feng, B.; Guo, Y.T.; Zhang, W.P.; Rao, Y.B.; Zhong, C.H.; Zhang, L.Z.; Cheng, C.; Wang, H.H.; Luo, X.P. The flotation separation behavior of apatite from calcite using carboxymethyl chitosan as depressant. Miner. Eng. 2020, 159, 106635. [Google Scholar] [CrossRef]
  134. Yao, X.; Yu, X.Y.; Wang, L.P.; Zeng, Y.H.; Mao, L.H.; Liu, S.M.; Xie, H.H.; He, G.C.; Huang, Z.Q.; Liu, Z.L. Preparation of cinnamic hydroxamic acid collector and study on flotation characteristics and mechanism of scheelite. Int. J. Min. Sci. Technol. 2023, 33, 773–781. [Google Scholar] [CrossRef]
  135. Pereira, L.; Kupka, N.; Hoang, D.H.; Michaux, B.; Saquran, S.; Ebert, D.; Rudolph, M. On the impact of grinding conditions in the flotation of semi-soluble salt-type mineral-containing ores driven by surface or particle geometry effects? Int. J. Min. Sci. Technol. 2023, 33, 855–872. [Google Scholar] [CrossRef]
  136. Reinhardt, N.; Frenzel, M.; Meinert, L.D.; Gutzmer, J.; Kürschner, T.; Burisch, M. Mineralogy and fluid characteristics of the Waschleithe Zn skarn-a distal part of the Schwarzenberg mineral system, Erzgebirge, Germany. Ore Geol. Rev. 2021, 131, 104007. [Google Scholar] [CrossRef]
  137. Peng, B.; Frei, R. Nd-Sr-Pb isotopic constraints on metal and fluid sources in W-Sb-Au mineralization at Woxi and Liaojiaping (Western Hunan, China). Miner. Depos. 2004, 39, 313–327. [Google Scholar] [CrossRef]
  138. Dong, S.Y.; Feng, J.L.; Li, Y.K.; Hu, L.M.; Liu, M.L.; Wang, Y.F.; Pi, Y.Q.; Sun, J.Y.; Sun, J.H. Shape-controlled synthesis of BiVO4 hierarchical structures with unique natural-sunlight-driven photocatalytic activity. Appl. Catal. B Environ. 2014, 152, 413–424. [Google Scholar] [CrossRef]
  139. Guan, Z.H.; Zhang, Y.; Wen, S.M.; Wu, Y.; Li, X.K.; Li, X.W. Mn-SS as a novel depressant of the flotation process of scheelite and calcite: Role and mechanism. Colloids Surf. A Physicochem. Eng. Asp. 2024, 686, 133443. [Google Scholar] [CrossRef]
  140. Pontes, F.M.; Maurera, M.; Souza, A.G.; Longo, E.; Leite, E.R.; Magnani, R.; Machado, M.A.C.; Pizani, P.S.; Varela, J.A. Preparation, structural and optical characterization of BaWO4 and PbWO4 thin films prepared by a chemical route. J. Eur. Ceram. Soc. 2003, 23, 3001–3007. [Google Scholar] [CrossRef]
  141. Rodrigues, M.H.D.; Borges, K.C.M.; Tello, A.C.M.; Roca, R.A.; Gonçalves, R.D.; da Silva, A.B.F.; Longo, E.; Godinho, M., Jr. Effect of pH on the synthesis of BiVO4 to improve photocatalysis and antimicrobial properties. Mater. Chem. Phys. 2023, 296, 127198. [Google Scholar] [CrossRef]
  142. Edwards, P.N.; Mayernik, M.S.; Batcheller, A.L.; Bowker, G.C.; Borgman, C.L. Science friction: Data, metadata, and collaboration. Soc. Stud. Sci. 2011, 41, 667–690. [Google Scholar] [CrossRef]
  143. Ding, Y.; Yan, E.; Frazho, A.; Caverlee, J. PageRank for Ranking Authors in Co-citation Networks. J. Am. Soc. Inf. Sci. Technol. 2009, 60, 2229–2243. [Google Scholar] [CrossRef]
  144. Jeong, Y.K.; Song, M.; Ding, Y. Content-based author co-citation analysis. J. Informetr. 2014, 8, 197–211. [Google Scholar] [CrossRef]
  145. Hu, K.; Govindjee, G.; Tan, J.; Xia, Q.; Dai, Z.; Guo, Y. Co-author and co-cited reference network analysis for chlorophyll fluorescence research from 1991 to 2018. Photosynthetica 2020, 58, 110–124. [Google Scholar] [CrossRef]
  146. Yu, J.Q.; Kudo, A. Effects of structural variation on the photocatalytic performance of hydrothermally synthesized BiVO4. Adv. Funct. Mater. 2006, 16, 2163–2169. [Google Scholar] [CrossRef]
  147. Li, G.S.; Zhang, D.Q.; Yu, J.C. Ordered mesoporous BiVO4 through nanocasting:: A superior visible light-driven photocatalyst. Chem. Mater. 2008, 20, 3983–3992. [Google Scholar] [CrossRef]
  148. Yoon, S.H.; Kim, D.W.; Cho, S.Y.; Hong, K.S. Investigation of the relations between structure and microwave dielectric properties of divalent metal tungstate compounds. J. Eur. Ceram. Soc. 2006, 26, 2051–2054. [Google Scholar] [CrossRef]
  149. Yu, J.Q.; Zhang, Y.; Kudo, A. Synthesis and photocatalytic performances of BiVO4 by ammonia co-precipitation process. J. Solid State Chem. 2009, 182, 223–228. [Google Scholar] [CrossRef]
  150. Wang, F.Y.; Ge, G.; Ning, S.Y.; Nie, L.Q.; Zhong, G.X.; White, N.C. A new approach to LA-ICP-MS mapping and application in geology. Acta Petrol. Sin. 2017, 33, 3422–3436. [Google Scholar]
  151. Cavalcante, L.S.; Longo, V.M.; Sczancoski, J.C.; Almeida, M.A.P.; Batista, A.A.; Varela, J.A.; Orlandi, M.O.; Longo, E.; Li, M.S. Electronic structure, growth mechanism and photoluminescence of CaWO4 crystals. Crystengcomm 2012, 14, 853–868. [Google Scholar] [CrossRef]
  152. Marques, V.S.; Cavalcante, L.S.; Sczancoski, J.C.; Alcântara, A.F.P.; Orlandi, M.O.; Moraes, E.; Longo, E.; Varela, J.A.; Li, M.S.; Santos, M. Effect of Different Solvent Ratios (Water/Ethylene Glycol) on the Growth Process of CaMoO4 Crystals and Their Optical Properties. Cryst. Growth Des. 2010, 10, 4752–4768. [Google Scholar] [CrossRef]
  153. Sczancoski, J.C.; Bomio, M.D.R.; Cavalcante, L.S.; Joya, M.R.; Pizani, P.S.; Varela, J.A.; Longo, E.; Li, M.S.; Andrés, J. Morphology and Blue Photoluminescence Emission of PbMoO4 Processed in Conventional Hydrothermal. J. Phys. Chem. C 2009, 113, 5812–5822. [Google Scholar] [CrossRef]
  154. Dai, C.; Wu, X.; Wang, Q.; Bai, Y.; Zhao, D.; Fu, J.; Fu, B.; Ding, H. Layered double hydroxides for efficient treatment of heavy metals and organic pollutants: Recent progress and future perspectives. Sep. Purif. Technol. 2025, 352, 128277. [Google Scholar] [CrossRef]
  155. de Sousa, J.T.F.; dos Anjos, M.A.S.; Neto, J.A.D.; de Farias, E.C.; Branco, F.G.; Pederneiras, C.M. Self-Compacting Concrete with Artificial Lightweight Aggregates from Sugarcane Ash and Calcined Scheelite Mining Waste. Appl. Sci. 2025, 15, 452. [Google Scholar] [CrossRef]
  156. Essenni, S.; Khan, M.A.; Billah, R.E.; Jeon, B.H.; Sundaramurthy, S.; Agunaou, M. Template assisted hydrothermal synthesis of bismuth vanadate for Rhodamine B photodegradation. J. Mol. Liq. 2024, 398, 124270. [Google Scholar] [CrossRef]
  157. Pizzi, S.; Caputo, A.; Corvino, A.; Venturelli, A. Management research and the UN sustainable development goals (SDGs): A bibliometric investigation and systematic review. J. Clean. Prod. 2020, 276, 124033. [Google Scholar] [CrossRef]
  158. Gaviria-Marin, M.; Merigo, J.M.; Baier-Fuentes, H. Knowledge management: A global examination based on bibliometric analysis. Technol. Forecast. Soc. Change 2019, 140, 194–220. [Google Scholar] [CrossRef]
  159. Duque-Acevedo, M.; Belmonte-Urena, L.J.; Joaquin Cortes-Garcia, F.; Camacho-Ferre, F. Agricultural waste: Review of the evolution, approaches and perspectives on alternative uses. Glob. Ecol. Conserv. 2020, 22, e00902. [Google Scholar] [CrossRef]
  160. Zhang, W.J.; Wen, P.C.; Xia, L.; Chen, J.; Che, J.Y.; Wang, C.Y.; Ma, B.Z. Understanding the role of hydrogen peroxide in sulfuric acid system for leaching low-grade scheelite from the perspective of phase transformation and kinetics. Sep. Purif. Technol. 2021, 277, 119407. [Google Scholar] [CrossRef]
  161. Niu, N.; Yang, P.A.P.; Wang, W.X.; He, F.; Gai, S.L.; Wang, D.; Lin, J. Solvothermal synthesis of SrMoO4:Ln (Ln = Eu3+, Tb3+, Dy3+) nanoparticles and its photoluminescence properties at room temperature. Mater. Res. Bull. 2011, 46, 333–339. [Google Scholar] [CrossRef]
  162. Ryu, J.H.; Yoon, J.W.; Shim, K.B. Microwave-assisted synthesis of BaMoO4 nanocrystallites by a citrate complex method and their anisotropic aggregation. J. Alloys Compd. 2006, 413, 144–149. [Google Scholar] [CrossRef]
  163. Han, H.S.; Liu, W.L.; Hu, Y.H.; Sun, W.; Li, X.D. A novel flotation scheme: Selective flotation of tungsten minerals from calcium minerals using Pb-BHA complexes in Shizhuyuan. Rare Met. 2017, 36, 533–540. [Google Scholar] [CrossRef]
  164. Wei, Z.; Hu, Y.H.; Han, H.S.; Sun, W.; Wang, R.L.; Wang, J.J. Selective flotation of scheelite from calcite using Al-Na2SiO3 polymer as depressant and Pb-BHA complexes as collector. Miner. Eng. 2018, 120, 29–34. [Google Scholar] [CrossRef]
  165. Cera, M.; Trudu, S.; Amadou, A.O.; Asunis, F.; Farru, G.; De Gaudenzi, G.P.; De Gioannis, G.; Serpe, A. Trends and perspectives in the use of organic acids for critical metal recycling from hard-metal scraps. Int. J. Refract. Met. Hard Mater. 2023, 114, 106249. [Google Scholar] [CrossRef]
  166. He, D.; Hu, H.; Jiao, F.; Zuo, W.; Liu, C.; Xie, H.; Dong, L.; Wang, X. Thermal separation of heavy metals from municipal solid waste incineration fly ash: A review. Chem. Eng. J. 2023, 467, 143344. [Google Scholar] [CrossRef]
  167. Tejado-Ramos, J.-J.; Chocarro-Leon, M.; Barrero-Bejar, I.; Giraldo-Pavon, F.; Tarragona-Perez, C.; Morales-Sotaminga, E.S.; Fernandez-Cedron, L. Drones and ultraviolet radiation for the detection of scheelite mineral. Remote Sens. Appl. Soc. Environ. 2023, 30, 100949. [Google Scholar] [CrossRef]
  168. Zhang, W.; Ralston, J.; Zheng, R.; Sun, W.; Xu, S.; Cao, J.; Jin, X.; Feng, Z.; Gao, Z. Quantitative evaluation of collector flotation performance II: The creation of a collector property index based on molecular structure. Sep. Purif. Technol. 2024, 332, 125855. [Google Scholar] [CrossRef]
  169. Espeche, M.J.; Wan, B.; Lira, R.; Seltmann, R. Mineral Chemistry and U-Pb Garnet Geochronology of Strongly Reduced Tungsten Skarns at the Pampa de Olaen Mining district, Cordoba, Argentina. Ore Geol. Rev. 2021, 138, 104379. [Google Scholar] [CrossRef]
  170. Kundu, T.; Dash, N.; Angadi, S.I. Separation behavior of Falcon concentrator for the recovery of ultrafine scheelite particles from the gold mine tailings. Sep. Purif. Technol. 2023, 309, 123065. [Google Scholar] [CrossRef]
  171. Das, S.K.; Nagesh, C.; Sreenivas, T.; Kundu, T.; Angadi, S.I. A treatise on occurrence, beneficiation and plant practices of tungsten-bearing ores. Powder Technol. 2023, 429, 118938. [Google Scholar] [CrossRef]
  172. Jiao, F.; Li, W.; Wang, X.; Yang, C.; Zhang, Z.; Fu, L.; Qin, W. Application of EDTMPS as a novel calcite depressant in scheelite flotation. Int. J. Min. Sci. Technol. 2023, 33, 639–647. [Google Scholar] [CrossRef]
  173. Huang, Z.; Shuai, S.; Burov, V.E.; Poilov, V.Z.; Li, F.; Wang, H.; Liu, R.; Zhang, S.; Cheng, C.; Li, W.; et al. Application of a new amidoxime surfactant in flotation separation of scheelite and calcite: Adsorption mechanism and DFT calculation. J. Mol. Liq. 2022, 364, 120036. [Google Scholar] [CrossRef]
  174. Wu, F.; Zhou, D.; Du, C.; Xu, D.-M.; Li, R.-T.; Shi, Z.-Q.; Darwish, M.A.; Zhou, T.; Jantunen, H. Design and Fabrication of a Satellite Communication Dielectric Resonator Antenna with Novel Low Loss and Temperature-Stabilized (Sm1-XCaX) (Nb1-XMoX)O4 (X = 0.15 − 0.7) Microwave Ceramics. Chem. Mater. 2023, 35, 104–115. [Google Scholar] [CrossRef]
  175. Shi, W.; Chen, J.; Kong, J.; Ma, Z.; Gao, J.; Guo, J.; Hu, Z.; Lv, Q.; Deng, B.; Chen, W.; et al. A novel highly thermal-stable red-emitting CaGdSbWO8:Eu3+ phosphor with scheelite structure for high CRI w-LEDs,security ink, and latent fingerprint. J. Alloys Compd. 2022, 914, 165134. [Google Scholar] [CrossRef]
  176. Xiao, L.; Ji, L.; Yin, C.; Chen, A.; Chen, X.; Liu, X.; Li, J.; He, L.; Sun, F.; Zhao, Z. Tungsten extraction from scheelite hydrochloric acid decomposition residue by hydrogen peroxide. Miner. Eng. 2022, 179, 107461. [Google Scholar] [CrossRef]
  177. Cao, Y.; Xu, C.; Kamaruzzaman, S.N.; Aziz, N.M. A Systematic Review of Green Building Development in China: Advantages, Challenges and Future Directions. Sustainability 2022, 14, 12293. [Google Scholar] [CrossRef]
  178. Li, Q.; Long, R.; Chen, H.; Chen, F.; Wang, J. Visualized analysis of global green buildings: Development, barriers and future directions. J. Clean. Prod. 2020, 245, 118775. [Google Scholar] [CrossRef]
  179. Wang, Y.Y.; Wu, Z.S.; Chen, W.Q.; Du, Q.A.; Tang, L.W.; Shi, H.Z.; Ma, G.T.; Zhang, Z.; Liang, W.; Wu, B.; et al. Genesis of the Nuri Cu-W-Mo Deposit, Tibet, China: Constraints from in situ Trace Elements and Sr Isotopic Analysis of Scheelite. Acta Geol. Sin.-Engl. Ed. 2024, 98, 117–131. [Google Scholar] [CrossRef]
  180. Duan, X.X.; Ju, Y.F.; Wang, S.D.; Wang, Z.Q. Scheelite geochemistry implications for ore-forming fluid evolution of Zhuxiling and Xiaoyao tungsten deposits, southern Anhui Province. Acta Petrol. Sin. 2023, 39, 2741–2760. [Google Scholar] [CrossRef]
  181. Chen, Z.Y.; Zhang, L.; Sun, X.W.; Sun, S.C.; Shen, G.W.; Yu, T.W.; Chen, X.G.; Ning, Z.W.; Xu, Y.H.; Wang, J.Y. Tungsten mineralization in the Huangjindong gold deposit, southern China: Insights from scheelite texture, in-situ trace elements and Sr isotope compositions. Ore Geol. Rev. 2024, 166, 105960. [Google Scholar] [CrossRef]
  182. Jena, P.; Nallamuthu, N.; Prasad, K.H.; Venkateswarlu, M.; Satyanarayana, N. Structural characterization and electrical conductivity studies of BaMoO4 nanofibers prepared by sol-gel and electrospinning techniques. J. Sol-Gel Sci. Technol. 2014, 72, 480–489. [Google Scholar] [CrossRef]
  183. Sadegh, M.; Badiei, A. Synthesis of CaWO4:Er3+@SiO2 and CaWO4:Tm3+@SiO2 nano-particles via a combustion pathway and study of their optical properties. Res. Chem. Intermed. 2014, 40, 2007–2014. [Google Scholar] [CrossRef]
  184. Ghosh, S.; Hajra, P.; Kundu, S.; Baduri, S.; Ray, D.; Bhattacharya, C. Associative Role of g-C3N4 to BiVO4 via Favorable Crystallinity and Rapid Charge-Carrier Transport for an Improved Photoelectrochemical Water Oxidation Process: An In Situ Composite Explored through Different Carbon Nitride Precursors. Acs Appl. Eng. Mater. 2023, 1, 2892–2902. [Google Scholar] [CrossRef]
  185. Lu, Y.J.; Shang, H.S.; Guan, H.J.; Zhao, Y.F.; Zhang, H.S.; Zhang, B. Enhanced visible-light photocatalytic activity of BiVO4 microstructures via annealing process. Superlattices Microstruct. 2015, 88, 591–599. [Google Scholar] [CrossRef]
  186. Foucaud, Y.; Filippova, I.; Dehaine, Q.; Hubert, P.; Filippov, L. Integrated approach for the processing of a complex tungsten Skarn ore (Tabuaco, Portugal). Miner. Eng. 2019, 143, 105896. [Google Scholar] [CrossRef]
  187. Gong, G.C.; Liu, J.; Han, Y.X.; Zhu, Y.M. An atomic scale investigation of the adsorption of sodium oleate on Ca2+ activated quartz surface. Physicochem. Probl. Miner. Process. 2019, 55, 426–436. [Google Scholar] [CrossRef]
  188. Zhang, W.J.; Chen, Y.Q.; Che, J.Y.; Wang, C.Y.; Ma, B.Z. Green leaching of tungsten from synthetic scheelite with sulfuric acid-hydrogen peroxide solution to prepare tungstic acid. Sep. Purif. Technol. 2020, 241, 116752. [Google Scholar] [CrossRef]
  189. Zhang, W.J.; Wang, C.Y.; Ma, B.Z. Leaching kinetics of calcium molybdate with hydrochloric acid in presence of phosphoric acid. Trans. Nonferrous Met. Soc. China 2019, 29, 859–867. [Google Scholar] [CrossRef]
  190. Chen, Y.L.; Huo, G.S.; Guo, X.Y.; Wang, Q.M. Sustainable extraction of tungsten from the acid digestion product of tungsten concentrate by leaching-solvent extraction together with raffinate recycling. J. Clean. Prod. 2022, 375, 133924. [Google Scholar] [CrossRef]
  191. Du, J.W.; Li, J.; He, D.M.; Xu, M.Y.; Zhang, G.Q.; Cao, Z.Y.; Wu, S.X. Green separation and recovery of molybdenum from tungstate solution achieved by using a recyclable vulcanizing agent. J. Clean. Prod. 2021, 278, 123930. [Google Scholar] [CrossRef]
  192. Li, Y.J.; Ying, Y.C.; Li, W.C.; Jiang, X.J.; Liu, Y.D.; Chen, W.; Jiang, S.Y. Genesis of W mineralization in the Yangla Cu-polymetallic deposit (NW Yunnan, China): Constraints from scheelite microstructure, trace element, U-Pb dating and Sr isotope geochemistry. Ore Geol. Rev. 2024, 169, 106098. [Google Scholar] [CrossRef]
  193. Di, H.F.; Shao, Y.J.; Xiong, Y.Q.; Zheng, H.; Fang, X.; Fang, W.J. Scheelite as a microtextural and geochemical tracer of multistage ore-forming processes in skarn mineralization: A case study from the giant Xintianling W deposit, South China. Gondwana Res. 2024, 136, 104–125. [Google Scholar] [CrossRef]
  194. Wu, K.Y.; Liu, B.; Wu, Q.H.; Chen, S.F.; Kong, H.; Li, H.; Elatikpo, S.M. Trace element geochemistry, oxygen isotope and U-Pb geochronology of multistage scheelite: Implications for W-mineralization and fluid evolution of Shizhuyuan W-Sn deposit, South China. J. Geochem. Explor. 2023, 248, 107192. [Google Scholar] [CrossRef]
  195. Yang, P.P.; Li, C.X.; Wang, W.X.; Quan, Z.W.; Gai, S.L.; Lin, J. Uniform AMoO4:Ln (A = Sr2+, Ba2+; Ln = Eu3+, Tb3+) submicron particles: Solvothermal synthesis and luminescent properties. J. Solid State Chem. 2009, 182, 2510–2520. [Google Scholar] [CrossRef]
  196. Lai, X.; Wei, Y.Y.; Qin, D.; Zhao, Y.; Wu, Y.; Gao, D.J.; Bi, J.; Lin, D.M.; Xu, G.L. Controlled Synthesis of CaWO4 Microcrystalline via Surfactant-Assisted Precipitation Method. Integr. Ferroelectr. 2013, 142, 7–15. [Google Scholar] [CrossRef]
  197. Liu, C.; Zhu, Y.H.; Huang, K.H.; Yang, S.Y.; Liang, Z. Studies of benzyl hydroxamic acid/calcium lignosulphonate addition order in the flotation separation of smithsonite from calcite. Int. J. Min. Sci. Technol. 2021, 31, 1153–1158. [Google Scholar] [CrossRef]
  198. Liao, R.P.; Wen, S.M.; Liu, J.; Feng, Q.C. Flotation separation of fine smithsonite from calcite using sodium hexametaphosphate as the depressant in the Na2S-Pb(II)-KIAX system. Sep. Purif. Technol. 2022, 295, 121245. [Google Scholar] [CrossRef]
  199. Gong, D.D.; Zhou, K.G.; Li, J.J.; Peng, C.H.; Chen, W. Kinetics of Roasting Reaction Between Synthetic Scheelite and Magnesium Chloride. Jom 2019, 71, 2827–2833. [Google Scholar] [CrossRef]
  200. Zhang, G.Q.; Guan, W.J.; Xiao, L.S.; Zhang, Q.X. A novel process for tungsten hydrometallurgy based on direct solvent extraction in alkaline medium. Hydrometallurgy 2016, 165, 233–237. [Google Scholar] [CrossRef]
  201. Zhang, L.M.; Shen, L.T.; Zhou, Q.S.; Qi, T.G.; Peng, Z.H.; Liu, G.H.; Li, X.B. Leaching of WO3 from Sulfuric Acid Converted Product of Scheelite in NH3•H2O-(NH4)2C2O4 Solution. J. Sustain. Metall. 2023, 9, 1589–1600. [Google Scholar] [CrossRef]
  202. Gong, X.; Yao, J.; Yang, B.; Yin, W.; Guo, J.; Song, N.; Wang, Y.; Sun, H. Activation-inhibition mechanism of diammonium hydrogen phosphate in flotation separation of brucite and calcite. J. Environ. Chem. Eng. 2023, 11, 110184. [Google Scholar] [CrossRef]
  203. Mao, J.-W.; Han, D.-D.; Zhou, H.; Sun, H.-B.; Zhang, Y.-L. Bioinspired Superhydrophobic Swimming Robots with Embedded Microfluidic Networks and Photothermal Switch for Controllable Marangoni Propulsion. Adv. Funct. Mater. 2023, 33, 2208677. [Google Scholar] [CrossRef]
  204. Yang, B.; Yin, W.; Zhu, Z.; Sun, H.; Sheng, Q.; Fu, Y.; Yao, J.; Zhao, K. Differential adsorption of hydrolytic polymaleic anhydride as an eco-friendly depressant for the selective flotation of apatite from dolomite. Sep. Purif. Technol. 2021, 256, 117803. [Google Scholar] [CrossRef]
  205. Kim, W.; Khan, G.F.; Wood, J.; Mahmood, M.T. Employee Engagement for Sustainable Organizations: Keyword Analysis Using Social Network Analysis and Burst Detection Approach. Sustainability 2016, 8, 631. [Google Scholar] [CrossRef]
  206. Kim, E.S.; Chun, B.S.; Freer, R.; Cernik, R.J. Effects of packing fraction and bond valence on microwave dielectric properties of A2+B6+O4 (A2+: Ca, Pb, Ba; B6+: Mo, W) ceramics. J. Eur. Ceram. Soc. 2010, 30, 1731–1736. [Google Scholar] [CrossRef]
  207. Dutta, S.; Som, S.; Sharma, S.K. Luminescence and photometric characterization of K+ compensated CaMoO4:Dy3+ nanophosphors. Dalton Trans. 2009, 42, 9654–9661. [Google Scholar] [CrossRef]
  208. Choi, G.-K.; Kim, J.-R.; Yoon, S.H.; Hong, K.S. Microwave dielectric properties of scheelite (A = Ca, Sr, Ba) and wolframite (A = Mg, Zn, Mn) AMoO4 compounds. J. Eur. Ceram. Soc. 2007, 27, 3063–3067. [Google Scholar] [CrossRef]
  209. Tokunaga, S.; Kato, H.; Kudo, A. Selective preparation of monoclinic and tetragonal BiVO4 with scheelite structure and their photocatalytic properties. Chem. Mater. 2001, 13, 4624–4628. [Google Scholar] [CrossRef]
  210. Zhou, D.; Pang, L.-X.; Wang, D.-W.; Reaney, I.M. BiVO4 based high k microwave dielectric materials: A review. J. Mater. Chem. C 2018, 6, 9290–9313. [Google Scholar] [CrossRef]
  211. Chen, W.; Feng, Q.; Zhang, G.; Yang, Q.; Zhang, C. The effect of sodium alginate on the flotation separation of scheelite from calcite and fluorite. Miner. Eng. 2017, 113, 1–7. [Google Scholar] [CrossRef]
  212. Guo, H.-H.; Zhou, D.; Pang, L.-X.; Qi, Z.-M. Microwave dielectric properties of low firing temperature stable scheelite structured (Ca,Bi)(Mo,V)O4 solid solution ceramics for LTCC applications. J. Eur. Ceram. Soc. 2019, 39, 2365–2373. [Google Scholar] [CrossRef]
  213. Yu, Y.; Ma, L.; Cao, M.; Liu, Q. Slime coatings in froth flotation: A review. Miner. Eng. 2017, 114, 26–36. [Google Scholar] [CrossRef]
  214. Su, Y.; Li, L.; Li, G. Synthesis and Optimum Luminescence of CaWO4-Based Red Phosphors with Codoping of EU3+ and Na+. Chem. Mater. 2008, 20, 6060–6067. [Google Scholar] [CrossRef]
  215. Gong, X.-f.; Yao, J.; Yang, B.; Yin, W.-z.; Wang, Y.-l.; Fu, Y.-f. Flotation separation of brucite and calcite in dodecylamine system enhanced by regulator potassium dihydrogen phosphate. Trans. Nonferrous Met. Soc. China 2024, 34, 2658–2670. [Google Scholar] [CrossRef]
  216. Yang, B.; He, J. New insights into selective depression mechanism of Tamarindus indica kernel gum in flotation separation of fluorapatite and calcite. Sep. Purif. Technol. 2025, 354, 128787. [Google Scholar] [CrossRef]
  217. Derhy, M.; Taha, Y.; El-Bahi, A.; Ait-Khouia, Y.; Benzaazoua, M.; Hakkou, R. Selective flotation of calcite and dolomite from apatite using bio-based alternatives to conventional collectors: Castor and mustard oils. Miner. Eng. 2024, 208, 108597. [Google Scholar] [CrossRef]
  218. Bai, R.; Zhao, G.; Liu, G. Selective flotation separation of bastnaesite from calcite using p-methyl/ methoxy benzohydroxamic acid collectors. J. Ind. Eng. Chem. 2025, 143, 283–292. [Google Scholar] [CrossRef]
  219. Shen, C.; Yang, X.; Li, Z.; Wu, D.; Cao, Y.; Zhang, Y.; Chai, W. Efficient flotation separation mechanism of scheelite from calcite and fluorite using carboxymethyl sulfonated lignin as environmentally friendly depressant. Colloids Surf. A Physicochem. Eng. Asp. 2025, 711, 136311. [Google Scholar] [CrossRef]
  220. Bucci, L.A.; Hagemann, S.G.; Groves, D.T.; Standing, J.G. The Archean Chalice gold deposit: A record of complex, multistage, high-temperature hydrothermal activity and gold mineralisation associated with granitic rocks in the Yilgarn Craton, Western Australia. Ore Geol. Rev. 2002, 19, 23–67. [Google Scholar] [CrossRef]
  221. Martins, J.I. Leaching Systems of Wolframite and Scheelite: A Thermodynamic Approach. Miner. Process. Extr. Metall. Rev. 2014, 35, 23–43. [Google Scholar] [CrossRef]
  222. Voicu, G.; Bardoux, M.; Stevenson, R. Lithostratigraphy, geochronology and gold metallogeny in the northern Guiana Shield, South America: A review. Ore Geol. Rev. 2001, 18, 211–236. [Google Scholar] [CrossRef]
  223. Mueller, A.G.; Nemchin, A.A.; Frei, R. The Nevoria gold skarn deposit, Southern Cross greenstone belt, western Australia: II. Pressure-temperature-time path and relationship to postorogenic granites. Econ. Geol. Bull. Soc. Econ. Geol. 2004, 99, 453–478. [Google Scholar] [CrossRef]
  224. Sun, J.H.; Yang, H. A polyacrylamide gel route to photocatalytically active BiVO4 particles with monoclinic scheelite structure. Ceram. Int. 2014, 40, 6399–6404. [Google Scholar] [CrossRef]
  225. Gu, X.; Schulz, O.; Vavtar, F.; Liu, J.; Zheng, M.; Fu, S. Rare earth element geochemistry of the Woxi W-Sb-Au deposit, Hunan Province, South China. Ore Geol. Rev. 2007, 31, 319–336. [Google Scholar] [CrossRef]
  226. Brazdil, J.F. Designing Multifunctionality into Single Phase and Multiphase Metal-Oxide-Selective Propylene Ammoxidation Catalysts. Catalysts 2018, 8, 103. [Google Scholar] [CrossRef]
  227. Dill, H.G.; Melcher, F.; Botz, R. Meso- to epithermal W-bearing Sb vein-type deposits in calcareous rocks in western Thailand; with special reference to their metallogenetic position in SE Asia. Ore Geol. Rev. 2008, 34, 242–262. [Google Scholar] [CrossRef]
  228. Bolan, S.; Wijesekara, H.; Ireshika, A.; Zhang, T.; Pu, M.; Petruzzelli, G.; Pedron, F.; Hou, D.; Wang, L.; Zhou, S.; et al. Tungsten contamination, behavior and remediation in complex environmental settings. Environ. Int. 2023, 181, 108276. [Google Scholar] [CrossRef]
  229. Shuai, S.; Huang, Z.; Burov, V.E.; Poilov, V.Z.; Li, F.; Wang, H.; Liu, R.; Zhang, S.; Cheng, C.; Li, W.; et al. Flotation separation of wolframite from calcite using a new trisiloxane surfactant as collector. Int. J. Min. Sci. Technol. 2023, 33, 379–387. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.