Search Results (741)

The rapid expansion of wind power as a key component of global renewable energy systems has led to the widespread deployment of wind turbines in environments exposed to diverse natural hazards. While hazard effects are often investigated individually, real wind turbine systems frequently experience concurrent or sequential hazards over their operational lifetime, giving rise to interaction effects that are not adequately captured by conventional design approaches. This paper presents Part 2 of a comprehensive review on natural hazards affecting wind turbine performance, combining bibliometric keyword co-occurrence analysis with a critical synthesis of recent technical studies. The review focuses on earthquakes, sea waves, and extreme wind events, while also highlighting other hazard types that have received comparatively limited attention in the literature, examining their effects on wind turbine systems and the mitigation strategies reported to address associated risks. Rather than treating hazards in isolation, their impacts are synthesised through cross-hazard interaction pathways and component-level failure modes. The findings indicate that wind turbine vulnerability under multi-hazard conditions is governed not only by load magnitude but also by hazard-induced changes in system properties and operational state. Key research gaps are identified, emphasising the need for state-aware, mechanism-consistent multi-hazard assessment frameworks to support the resilient design and operation of future wind energy systems. Full article

Background/Objectives: Telemedicine has emerged as a pivotal approach to improving access to diabetic retinopathy (DR) screening, diagnosis, management, and monitoring. Over the past two decades, rapid advancements in digital imaging, mobile health technologies, and artificial intelligence have substantially expanded the role of teleophthalmology in DR, resulting in a large volume of pertinent publications. This study aimed to provide a scientific overview of telemedicine applied to DR through bibliometric analysis. Methods: A search of the Web of Science Core Collection was conducted on 15 November 2025 to identify English-language original research and review articles regarding telemedicine for DR. Bibliographic data from relevant publications were extracted and underwent quantitative analysis and visualization using the tools Bibliometrix and VOSviewer. Results: A total of 515 articles published between 1998 and 2025 were included in our analysis. During this period, the research field of telemedicine for DR exhibited an annual growth rate of 13.14%, with publication activity markedly increasing after 2010 and peaking in 2020–2021. Based on the number of publications, United States, China, and Australia were the most productive countries, while Telemedicine and e-Health, Journal of Telemedicine and Telecare, and British Journal of Ophthalmology were the most relevant journals in the field. Keyword co-occurrence analysis revealed three major thematic clusters within the broader topic of telemedicine and DR, namely, public health-oriented work, telehealth service models, and applications of artificial intelligence technologies. Conclusions: The role of telemedicine in DR detection and care represents an expanding multidisciplinary field of research supported by contributions from multiple authors and institutions worldwide. As technological capabilities continue to evolve, ongoing innovation and cross-domain collaboration could further advance the applications of teleophthalmology for DR, promoting more accessible, efficient, and equitable identification and management of this condition. Full article

Urban forests and green spaces are increasingly promoted as Nature-Based Solutions (NbS) to mitigate climate risks, enhance human well-being, and support resilient and sustainable cities. Focusing on the theme of optimizing urban green space ecosystem services to foster resilient and sustainable cities, this study systematically analyzes 861 relevant publications indexed in the Web of Science Core Collection from 2005 to 2025. Using bibliometric analysis and scientific knowledge mapping methods, the research examines publication characteristics, spatial distribution patterns, collaboration networks, knowledge bases, research hotspots, and thematic evolution trajectories. The results reveal a rapid upward trend in this field over the past two decades, with the gradual formation of a multidisciplinary knowledge system centered on environmental science and urban research. China, the United States, and several European countries have emerged as key nodes in global knowledge production and collaboration networks. Keyword co-occurrence and cluster analyses indicate that research themes are mainly concentrated in four clusters: (1) ecological foundations and green process orientation, (2) nature-based solutions and blue–green infrastructure configuration, (3) social needs and environmental justice, and (4) macro-level policies and the sustainable development agenda. Overall, the field has evolved from a focus on ecological processes and individual service functions toward a comprehensive transition emphasizing climate resilience, human well-being, and multi-actor governance. Based on these findings, this study constructs a knowledge ecosystem framework encompassing knowledge base, knowledge structure, research hotspots, frontier trends, and future pathways. It further identifies prospective research directions, including climate change adaptation, integrated planning of blue–green infrastructure, refined monitoring driven by remote sensing and spatial big data, and the embedding of urban green space ecosystem services into the Sustainable Development Goals and multi-level governance systems. These insights provide data support and decision-making references for deepening theoretical understanding of Urban Green Space Ecosystem Services (UGSES), improving urban green infrastructure planning, and enhancing urban resilience governance capacity. Full article

The rapid digitalization of financial services in the European Union (EU) has not only enhanced convenience and inclusion but also increased exposure to sophisticated online financial fraud. Digital financial literacy (DFL) is widely promoted as a key tool for empowering consumers and reducing fraud victimization. However, the empirical and conceptual landscape linking DFL to fraud reduction within the specific sociolegal context of the EU remains fragmented. This study uses bibliometric analysis to map the research area, define major themes within the field, and determine the role of DFL in reducing online financial fraud in the EU. Peer-reviewed journal articles were targeted to ensure academic rigor, with a publication window of 2010–2025 reflecting key fintech and regulatory developments. After adhering to PRISMA principles, 87 peer-reviewed publications were chosen out of a total of 568 records identified through OpenAlex and Web of Science, coauthorship, keyword co-occurrence, citation, temporal, and density representations were analyzed using VOSviewer. Findings indicate an increasingly diffuse research field with new clusters concentrating on macroeconomic policy, business technology, social psychology, and interdisciplinary foundations. Results demonstrate that successful implementation of DFL interventions combines behavioral insights, technological protection, and non-discriminatory policy considerations. The study concludes by identifying major gaps in research and providing a path forward for future evidence-based policy efforts toward enhancing consumer protection in the EU digital financial market. Full article

Environmental health concerns remain a major global challenge. In many nations, the adoption of measures to mitigate the negative environmental impacts of construction-related activities has been slow. Prior research has clarified that further study/advancement are required to improve environmental health/sustainability (EHS). To determine the focus of previous studies, this study attempts to identify, analyse, and visualise the trends in research concerning EHS in construction-related domains. The data were obtained from the Scopus database, and the study employed a bibliometric approach. The following keywords were used to search the database: ‘environmental health’ OR ‘ecological health’ OR ‘environmental sustainability’ OR ‘ecological sustainability’ OR ‘Environmental safety’ OR ‘ecological safety’ AND ‘construction industry’ OR ‘building industry’ to retrieve relevant documents. The analysis included co-citation analysis, keyword co-occurrence and trend mapping. The findings revealed four themes: Environmental Sustainability and Energy-Oriented Decision-Making, Low-Carbon Cementitious Materials and Mechanical Performance of Concrete, Waste Management and Circular Economy Practices, and Life Cycle Assessment and Carbon Emission Analysis. The keyword findings revealed very scant research in environmental health unlike environmental sustainability. Spain, China, and Saudi Arabia are the top three in terms of citation-to-publication ratio, indicating strong influence in literature sources. However, India has the highest number of publications. The findings also suggest that more relevant studies are required in African nations and South Asian countries. It further highlighted a knowledge gap that emerging economies must address to enhance the sustainability and environmental performance of construction projects. This bibliometric analysis is unique in its integrated examination of environmental sustainability and environmental health in the construction industry, employing strategic thematic mapping to reveal system-level linkages, contextual gaps, and targeted directions for future research. The conclusions provide scholars and stakeholders in the built environment with a solid theoretical basis, enhancing the industry’s preparedness to mitigate the adverse environmental and climatic impacts of traditional construction methods. Full article

Background: Autism spectrum disorder (ASD) represents a major challenge in neurological development research and is receiving increasing attention from the pharmacological and pharmaceutical sciences. Despite this constant growth, there is no document that provides a comprehensive overview integrating publication trends, key contributors, and thematic developments, allowing efforts to be focused on specific areas. Objective: To conduct a comprehensive bibliometric analysis of pharmacological research related to ASD published between 2001 and 2025. Methods: The database obtained contains 1170 articles indexed in the Web of Science (WoS) database in the JCR Pharmacy and Pharmacology category. Bibliometric indicators such as publication growth, h-index, authorship, institutional and national productivity, and keyword co-occurrence were analyzed using VOSviewer and the laws of Price, Bradford, Zipf, and Lotka. Results: A total of 1170 documents were analyzed, showing an exponential increase in pharmacological research related to ASD over the last two decades. The United States, China, and Italy emerged as the most productive countries, while King Saud University, Harvard Medical School, and The Ohio State University were among the leading institutions. The most frequently cited keywords, such as “autism spectrum disorder,” “valproic acid,” “oxidative stress,” and “flavonoids,” revealed a translational approach linking neurobiological mechanisms, redox imbalance, and therapeutic interventions. Contemporary research emphasizes immuno–synaptic interactions, microbiota, and biomarker-guided approaches. Conclusions: This study highlights the global expansion and diversification of pharmacological research in ASD. The results underscore a shift toward integrated biological frameworks and precision-oriented strategies, reinforcing the need for interdisciplinary collaboration to advance translational outcomes in ASD therapy. Full article

Amid increasing urbanization and escalating global mental health concerns, understanding the environmental determinants of mental illness has become a research priority. This study presents a bibliometric analysis of global research exploring the intersection of green spaces and mental illness. Drawing on 2136 peer-reviewed articles and review papers published between 1990 and 2024 from the Web of Science Core Collection and Scopus, this study examined publication trends, geographic and institutional contributions, research hotspots, and thematic evolution. Findings reveal a sharp increase in scholarly output since 2012, reflecting heightened interdisciplinary engagement and alignment with global frameworks, such as the United Nations Sustainable Development Goals. China, the United States, and the United Kingdom are leading contributors. Keyword co-occurrence analysis highlights major themes such as green spaces, mental health, physical activity, urban planning, and air pollution. Despite notable progress, the field faces methodological inconsistencies, limited integration of air quality data, and a lack of representation from low- and middle-income countries. This study offers a comprehensive overview of the research progress and gaps, supporting the development of nature-based strategies and sustainable urban planning to mitigate mental illness and promote psychological resilience. Full article

The oil and gas sector operates in a high-risk environment defined by capital intensity, regulatory uncertainty, and volatile commodity prices. Although Artificial Intelligence (AI) is widely promoted as a lever for profitability, the mechanisms through which AI adoption translate into financial outcomes remain insufficiently specified in the oil and gas literature. Grounded in the Resource-Based View and Technology Adoption Theory, this study combines bibliometric mapping of 201 Scopus-indexed publications (2010–2025) with a focused comparative case analysis of important players (BP and Shell), based on publicly reported operational and financial indicators (e.g., operating cost, uptime-related evidence, and return on average capital employed—ROACE). Keyword co-occurrence analysis identifies five thematic clusters showing that efficiency-oriented AI use cases (optimization, automation, predictive maintenance, and digital twins) dominate the research landscape. A thematic synthesis of five highly cited studies further indicates that AI-enabled operational improvements are most consistently linked to measurable cost, productivity, or revenue effects. Case evidence suggests that large-scale predictive maintenance and digital twin programs can support capital efficiency by reducing unplanned downtime and structural costs, contributing to more resilient ROACE trajectories amid price swings. Overall, the findings support a conceptual pathway in which operational efficiency is a primary channel through which AI can create financial value, while underscoring the need for future firm-level empirical mediation tests using standardized KPIs. Full article

Machine learning (ML) has become a transformative tool in nanomaterial research, driven by the rapid growth of data-intensive experimental techniques, multiscale simulations, and computational modeling. This study provides a bibliometric analysis to characterize how ML has been integrated into nanomaterial discovery and design. Following a PRISMA-guided workflow, research articles published between 2010 and 2025 were retrieved from Scopus and Web of Science, yielding a curated dataset of 4432 peer-reviewed documents. Here, performance indicators, citation patterns, and network analyses were examined to reveal publication growth, leading journals, productive institutions, and country-level contributions. The results show an exponential increase in scientific output since 2017 and a research landscape dominated by China, the United States, India, and Iran. Keyword co-occurrence and thematic mapping reveal four major research clusters: (i) ML-assisted nanoparticle synthesis, (ii) ML-driven nanocomposite design, (iii) data-driven modeling of carbon-based nanomaterials, and (iv) ML-supported catalysis and nanoscale chemistry. These results demonstrate the rapid consolidation of ML-enabled nanomaterial research and highlight emerging opportunities and challenges. The review provides an integrated summary of the field and highlights key future opportunities for advancing data-driven nanomaterial research. Full article

Hydrogen production technologies are undergoing rapid diversification, driven by the dual imperative of decarbonization and resource circularity. While conventional water electrolysis, particularly PEM and alkaline systems, represents a mature and scalable solution for centralized hydrogen generation, biologically mediated pathways such as microbial electrolysis cells (MECs), dark fermentation, and anaerobic digestion are gaining visibility as decentralized, low-energy alternatives. This review presents a bibliometric analysis of hydrogen research from 2021 to 2026, based on three multi-query strategies that retrieved 6017 works in MQ1, 7551 works in MQ2, and 1930 works in MQ3. The year 2026 is included in the dataset because Scopus indexes articles already accepted and released in early access, assigning them their forthcoming official publication year. Keyword co-occurrence mapping using VOSviewer highlights thematic clusters and disciplinary shifts. The results reveal a strong dominance of electrochemical research, with biohydrogen production emerging as a distinct but less mature frontier rooted in biotechnology and environmental science. MECs, in particular, occupy a transitional zone between electrochemical and biological paradigms, offering multifunctional platforms for simultaneous waste valorization and hydrogen generation. However, their low Technology Readiness Levels (TRLs) and unresolved engineering challenges limit their current scalability. The comparative analysis of bibliometric queries underscores the importance of integrating electrochemical and biotechnological approaches to build a resilient and context-adaptive hydrogen economy. This study provides a structured overview of the evolving knowledge landscape and identifies key directions for future interdisciplinary research and innovation. Full article

Background/Objectives: Recent reports on the co-occurrence of allergies and endometriosis have provided grounds for expanding research in this area, suggesting that diagnostics should be extended to women with endometriosis. However, numerous studies on nutrients and antioxidants do not specify the type of diet that supports the treatment process. In our review, we focus on the types of food elimination and dietary approaches that have been used. Methods: This systematic review was conducted according to the PRISMA guidelines. We searched the EMBASE, PUBMED and SCOPUS databases, as well as the bibliographies of research papers and reviews, including the latest reports from June 2025. The search keywords were “endometriosis” and “type of diet”, “nutrition”, “food products”, “nutrients”, “elimination diet”, and “allergies”. Results: Excluding coexisting allergies and introducing an anti-inflammatory diet low in animal products, limiting butter and margarine, and eliminating fried foods and refined simple sugars may be the best solution to help treat endometriosis. Conclusions: Personalised nutritional counselling for patients with endometriosis is particularly helpful and necessary, as there is no single elimination diet that can be recommended for all patients with endometriosis. The first step should be an anti-inflammatory diet, such as the Mediterranean diet or the MIND diet (Mediterranean-DASH diet intervention for neurological delay), followed by more in-depth allergy screening. The phenotypic diversity of this group of patients may require the use of a low-FODMAP (fermentable oligo-, di-, monosaccharides and polyols), low-nickel, gluten-free or other elimination diet. Full article

Digital leadership has emerged as a critical determinant of organizational success in an era characterized by rapid technological advancement, yet the field suffers from significant theoretical fragmentation and lacks a systematic integration of its evolving knowledge base, presenting substantial challenges for both practitioners and scholars seeking to advance theoretical understanding. This study aims to provide a more comprehensive perspective on the evolution and future research directions of digital leadership. A science mapping-based review is conducted to systematically examine and visualize 960 rigorously selected papers from the Web of Science (WOS), with no time constraints, covering all relevant publications from 1991 to 2024. The methods employed include regional co-occurrence, document co-citation, keywords clustering, and keywords burst to uncover the underlying structure and development of the field. The findings of this study reveal the development of foundational research in digital leadership, demonstrating the integration of methodologies and theories from other disciplines. Furthermore, the study identifies three research trends: green sustainable development, human-centered leadership and cross-cultural leadership. The contribution of this study is the construction of a knowledge map of digital leadership, providing a comprehensive understanding of digital leadership. To further illustrate the application of this map, the construction industry is used as a case study. Full article

This study conducts a systematic bibliometric review of artificial intelligence (AI)-based approaches to tacit knowledge extraction and management. Drawing on data retrieved from Scopus and Web of Science, this study analyzes 126 publications published between 1985 and 2025 using VOSviewer and Biblioshiny to map citation networks, keyword co-occurrence patterns, and thematic evolution. The results identify nine major clusters spanning machine learning, natural language processing, semantic modeling, expert systems, knowledge-based decision support, and emerging hybrid techniques. Collectively, these findings indicate a field-wide shift from manual codification toward scalable, context-aware, and semantically enriched approaches that better support tacit knowing in organizational practice. Building on these insights, the paper introduces the AI–Tacit Knowledge Co-Evolution Model, which situates AI as an epistemic partner—augmenting human interpretive processes rather than merely codifying experience. The framework integrates Polanyi’s concept of tacit knowing, Nonaka’s SECI model, and sociotechnical learning theories to elucidate how human–AI interaction transforms the dynamics of knowledge creation. The review consolidates fragmented research streams and provides a conceptual foundation for guiding future methodological development in AI-enabled tacit knowledge management. Full article

The critical need to preserve cultural relics has sustained longstanding interest in their corrosion and conservation, research vital to extending artifact lifespan and maintaining historical authenticity. Although scholarly output in this field grows annually, the expanding volume of literature makes it difficult to systematically identify research hotspots and forecast trends. This lack of clarity can lead to redundant efforts and hinder the practical application of preservation technologies. Existing reviews often focus on specialized subtopics, leaving a comprehensive overview lacking. To address this gap, this study conducts a systematic bibliometric analysis of 4983 relevant publications from the WOS Core Collection (1961–2025). Through a multi-dimensional examination of annual publication trends, keyword co-occurrence, contributions from countries and authors, and institutional collaborations, we elucidate the field’s development and intellectual structure. Our findings reveal key research hotspots, including corrosion mechanisms, novel protective materials, micro-environmental control, and multidisciplinary detection methods, whose evolution shows distinct temporal patterns. Furthermore, an analysis of collaborative networks indicates that progress is increasingly driven by institutional and international cooperation, steering the field toward greater systematization and refinement. Full article

Background: Optimal nutritional care is essential to improving outcomes in hemodialysis, yet translation of evidence into routine practice remains uneven across settings. To inform health system planning and implementation priorities, we mapped global research on hemodialysis-related nutrition. Methods: We searched the Web of Science Core Collection for English-language original articles on nutrition and hemodialysis from 1 January 2006 to 13 October 2025. Publication trends, productivity by country and institution, influential journals and authors, citation impact, and conceptual structure via Keyword Plus co-occurrence, trend, and thematic evolution analyses were assessed using the bibliometrix package (version 5.0) in R. Results: A total of 332 articles from 115 journals were identified, with substantial growth and multidisciplinary authorship, though international collaboration remains limited. The United States contributed 21.4% of publications and achieved the highest citation impact, while China, Japan, Iran, and Brazil formed the next tier of contributors. The Journal of Renal Nutrition accounted for 16.6% of papers. Highly cited studies established links between dietary intake, mineral and electrolyte management, and survival, while supporting the use of intradialytic oral nutritional supplements. Thematic evolution showed a shift from biochemical markers toward patient-centered priorities, including diet quality, adherence, body composition, mental health, and quality of life. Emerging directions point to whole-diet approaches and microbiome-modulating strategies. Conclusions: Global research on diet and hemodialysis has progressed from foundational nutrient studies to multidimensional, patient-focused approaches. Our findings suggest opportunities for health systems to strengthen dietitian-led models of care, integrate patient-reported outcomes, and prioritize scalable nutrition interventions within routine dialysis services. Full article