Search Results (106)

This study investigated the evolving trends, current research hotspots, and future directions of radiotherapy combined with nanobiomaterials through a bibliometric analysis. Publications related to nanobiomaterials used in radiotherapy between 2004 and 2024 were retrieved from the Web of Science Core Collection database and analyzed using VOSviewer, R, and CiteSpace. China emerged as the leading contributor, accounting for 1051 publications (50.41%), followed by the USA. Liu Zhuang is the most productive author in this field. American Chemical Society (ACS) Nano published the most influential articles and accumulated the highest number of citations. Advanced Targeted Therapies in Cancer: Drug Nanocarriers, the Future of Chemotherapy was the most cited, with 1255 citations. Citation bursts have revealed emerging research trends in targeted delivery, cellular studies, co-delivery strategies, immunogenic cell death, polymeric nanoparticles, tumor research, and drug delivery systems, indicating potential avenues for future research. Over the past two decades, nanomaterials for radiotherapy have gained substantial attention. Key areas of focus include enhancing the efficacy of radiotherapy, achieving targeted drug delivery, minimizing adverse effects, and integrating nanomaterials with other therapeutic modalities. Future investigations are expected to improve the precision of radiotherapy, augment radiation effects, and optimize the tumor microenvironment. Full article

Blockchain technology’s increasing adoption across diverse sectors necessitates robust security measures to mitigate rising fraudulent activities. This paper presents a comprehensive bibliometric analysis of anomaly detection research in blockchain networks from 2017 to 2024, conducted under the PRISMA paradigm. Using CiteSpace 6.4.R1, we systematically map the knowledge domain based on 363 WoSCC-indexed articles. The analysis encompasses collaboration networks, co-citation patterns, citation bursts, and keyword trends to identify emerging research directions, influential contributors, and persistent challenges. The study reveals geographical concentrations of research activity, key institutional players, the evolution of theoretical frameworks, and shifts from basic security mechanisms to sophisticated machine learning and graph neural network approaches. This research summarizes the state of the field and highlights future directions essential for blockchain security. Full article

A comprehensive bibliometric analysis of literature is imperative to elucidate current research landscapes and hotspots in the interplay between gut microbiota and hypertension, identify knowledge gaps, and establish theoretical foundations for the future. We used publications retrieved from the Web of Science Core Collection (WoSCC) and SCOPUS databases (January 2001–December 2024) to analyze the annual publication trends with GraphPad Prism 9.5.1, to evaluate co-authorship, keywords clusters, and co-citation patterns with VOSviewer 1.6.20, and conducted keyword burst detection and keyword co-occurrence utilizing CiteSpace v6.4.1. We have retrieved 2485 relevant publications published over the past 24 years. A 481-fold increase in global annual publications in this field was observed. China was identified as the most productive country, while the United States demonstrated the highest research impact. For the contributor, Yang Tao (University of Toledo, USA) and the University of Florida (USA) have emerged as the most influential contributors. Among journals, the highest number of articles was published in Nutrients (n = 135), which also achieved the highest citation count (n = 5397). The emergence of novel research hotspots was indicated by high-frequency keywords, mainly “hypertensive disorders of pregnancy”, “mendelian randomization”, “gut-heart axis”, and “hepatitis B virus”. “Trimethylamine N-oxide (TMAO)” and “receptor” may represent promising new research frontiers in the gut microbiota–hypertension nexus. The current research trends are shifting from exploring the factors influencing gut microbiota and hypertension to understanding the underlying mechanisms of these factors and the potential therapeutic applications of microbial modulation for hypertension management. Full article

The continuous evolution of technology compels higher education leaders to adapt to VUCA (volatile, uncertain, complex, and ambiguous) and BANI (brittle, anxious, non-linear, and incomprehensible) environments through innovative strategies that ensure institutional relevance. While VUCA emphasizes the challenges posed by rapid change and uncertain decision-making, BANI underscores the fragility of systems, heightened anxiety, unpredictable causality, and the collapse of established patterns. Navigating these complexities requires agility, resilience, and visionary leadership to ensure that institutions remain adaptable and future ready. This study presents a bibliometric analysis of digital academic leadership in higher education transformation, examining empirical studies, reviews, book chapters, and proceeding papers published from 2014 to 2024 (11-year period) in the Web of Science—Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI). Using CiteSpace software (version 6.3. R1-64 bit), we analyzed 5837 documents, identifying 24 key publications that formed a network of 90 nodes and 256 links. The reduction to 24 publications occurred as part of a structured bibliometric analysis using CiteSpace, which employs algorithmic thresholds to identify the most influential and structurally significant publications within a large corpus. These 24 documents form the core co-citation network, which serves as a conceptual backbone for further thematic interpretation. This was the result of a multi-step refinement process using CiteSpace’s default thresholds and clustering algorithms to detect the most influential nodes based on centrality, citation burst, and network clustering. Our findings reveal six primary research clusters: “Enhancing Academic Performance”, “Digital Leadership Scale Adaptation”, “Construction Industry”, “Innovative Work Behavior”, “Development Business Strategy”, and “Education.” The analysis demonstrates a significant increase in publications over the decade, with the highest concentration in 2024, reflecting growing scholarly interest in this field. Keywords analysis shows “digital leadership”, “digital transformation”, “performance”, and “innovation” as dominant terms, highlighting the field’s evolution from technology-focused approaches to holistic leadership frameworks. Geographical analysis reveals significant contributions from Pakistan, Ireland, and India, indicating valuable insights emerging from diverse global contexts. These findings suggest that effective digital academic leadership requires not only technical competencies but also transformational capabilities, communication skills, and innovation management to enhance student outcomes and institutional performance in an increasingly digitalized educational landscape. Full article

Objectives: This study utilized bibliometric and visualization analyses to explore global research trends and identify research hotspots in extracorporeal membrane oxygenation (ECMO) for circulatory support to provide references and guidance for future research. Methods: This study was based on data from the Web of Science Core Collection, covering the period from 1945 to 1 August 2024. Bibliometric tools, such as VOSviewer and CiteSpace, were used to visualize the analysis of countries/regions, institutions, journals, co-cited references, and keywords in the relevant literature. Results: A total of 14,804 valid papers were included in the study. The research interest in ECMO support for circulatory failure has increased annually, with the United States being the most active in this field. The U.S. occupies most of the top journals and institutions, leading in both the volume of publications and the intensity of international collaboration. Although China has a relatively high number of publications, it lags significantly in international collaboration and representation in top journals. Keyword and citation burst analysis indicates that research on cardiac arrest, post-cardiac surgery circulatory failure, left ventricular unloading, and prognostic factors have been the focus of recent studies and are prevalent in highly impactful literature. Conclusion: The research interest in ECMO support for circulatory failure continues to rise, particularly in cardiac arrest, post-cardiac surgery circulatory failure, left ventricular unloading, and prognostic factors. Future research should investigate these key areas and optimize techniques to enhance the clinical outcomes. Full article

Composite protective coatings are critical for material durability but face challenges like fragmented knowledge and scalability issues. Existing research lacks the systematic integration of nanomaterial properties with macroscale performance and standardized evaluation protocols for hybrid systems. This study uses CiteSpace to analyze 18,363 publications (2015–2025) from Web of Science, visualizing collaborative networks, keyword clusters, and citation bursts. China leads global research output (8508 publications), with the USA and India following, while materials science, chemistry, and physics dominate disciplines. Key themes include nanocomposite coatings (e.g., graphene oxide, MXene), corrosion resistance mechanisms, and sustainable technologies, with citation bursts highlighting nanocomposites and surface functionalization. The study reveals interdisciplinary synergies in 2D nanomaterial-polymer systems, thereby improving barrier properties and enabling stimuli-responsive inhibitor release, yet it identifies gaps in lifecycle sustainability and industrial scalability. By constructing a holistic knowledge framework, this work bridges theory and application, quantifying interdisciplinary linkages and pinpointing frontiers like smart, multifunctional coatings. This study integrates data-driven insights to facilitate cross-sector collaboration. It delivers a strategic framework to tackle global challenges in material durability, sustainability, and practical application. Full article

Background: Emerging and re-emerging infectious diseases (EIDs and Re-EIDs) cause significant economic crises and public health problems worldwide. Epidemics appear to be more frequent, complex, and harder to prevent. Early warning systems can significantly reduce outbreak response times, contributing to better patient outcomes. Improving early warning systems and methods might be one of the most effective responses. This study employs a bibliometric analysis to dissect the global research hotspots and evolutionary trends in the field of infectious disease early warning, with the aim of providing guidance for optimizing public health emergency management strategies. Methods: Publications related to the role of early warning systems in detecting and responding to infectious disease outbreaks from 1999 to 2024 were retrieved from the Web of Science Core Collection (WoSCC) database. CiteSpace software was used to analyze the datasets and generate knowledge visualization maps. Results: A total of 798 relevant publications are included. The number of annual publications has sharply increased since 2000. The USA produced the highest number of publications and established the most extensive cooperation relationships. The Chinese Center for Disease Control & Prevention was the most productive institution. Drake, John M was the most prolific author, while the World Health Organization and AHMED W were the most cited authors. The top two cited references mainly focused on wastewater surveillance of SARS-CoV-2. The most common keywords were “infectious disease”, “outbreak”, “transmission”, “virus”, and “climate change”. The basic keyword “climate” ranked the first and long duration with the strongest citation burst. “SARS-CoV-2”, “One Health”, “early warning system”, “artificial intelligence (AI)”, and “wastewater-based epidemiology (WBE)” were emerging research foci. Conclusions: Over the past two decades, research on early warning of infectious diseases has focused on climate change, influenza, SARS, virus, machine learning, warning signals and systems, artificial intelligence, and so on. Current research hotspots include wastewater-based epidemiology, sewage, One Health, and artificial intelligence, as well as the early warning and monitoring of COVID-19. Research foci in this area have evolved from focusing on climate–disease interactions to pathogen monitoring systems, and ultimately to the “One Health” integrated framework. Our research findings underscore the imperative for public health policymakers to prioritize investments in real-time surveillance infrastructure, particularly wastewater-based epidemiology and AI-driven predictive models, and strengthen interdisciplinary collaboration frameworks under the One Health paradigm. Developing an integrated human–animal–environment monitoring system will serve as a critical development direction for early warning systems for epidemics. Full article

Climate change, intensified human activities, and ecological shifts have markedly increased mountain flood risks, threatening communities in vulnerable highland regions. This study used CiteSpace (6.2R6) and VOSviewer (1.6.20) to analyze 1841 Web of Science Core Collection articles (1995–2024), mapping publication and citation trends, leading countries and institutions, co-citation networks, and keyword dynamics. We found an exponential increase in output (CAGR 15.8%), peaking at 211 articles in 2024. China (23.7%, 436 articles), the United States (17.8%, 328), Italy (8.6%, 159), India (5.5%, 101), and Japan (4.2%, 77) are leading research countries in the field, which is underpinned by extensive international collaboration. The research spans diverse domains with robust interdisciplinary integration. Keyword timeline and burst analyses reveal emerging topics—machine learning-enhanced risk assessment, climate-driven flood dynamics in the Himalayas and Alps, hydrological process modeling, and socio-economic impact evaluation—pointing toward advanced, region-tailored solutions. Full article

(1) Background: The aim of this bibliometric study is to analyze global research trends, citation impact, and scientific collaborations in the field of neuromuscular blockers (NMBAs) and their antagonists between 2000 and 2024. (2) Methods: Data were retrieved from the Web of Science Core Collection (WoSCC) using Boolean search strategies. Bibliometric analyses were conducted using R bibliometrix, VOSviewer, and CiteSpace software to visualize collaboration networks, keyword trends, and citation bursts. (3) Results: A total of 499 articles were analyzed, with the United States of America (USA), China, and South Korea leading in productivity, while France had the highest citation impact. Influential authors included Mertes PM and Fuchs-Buder T. Emerging topics such as sugammadex, sevoflurane, and neuromuscular monitoring were identified, reflecting a shift from pharmacokinetic studies to safety and monitoring strategies. (4) Conclusions: The findings indicate a marked increase in studies on neuromuscular monitoring and reversal agents, such as sugammadex, over the past two decades. The USA, France, and China emerged as the most contributory countries in NMBAs research, with their extensive international collaborations playing a pivotal role in shaping scientific progress. Highly influential studies have predominantly focused on NMBA pharmacokinetics, safety, anaphylaxis risks, and the clinical benefits of sugammadex, underscoring its critical role in reducing residual neuromuscular blockade (rNMB) and enhancing patient safety. Full article

Blockchain technology has emerged as a transformative solution to address specific aspects of emergency management systems by providing a decentralized and distributed ledger infrastructure that enhances data immutability, transparency, and traceability. This study presents a comprehensive bibliometric analysis of blockchain applications in emergency management covering the period from 2017 to 2024 and based on 248 research articles indexed in the Web of Science Core Collection. The analysis examines collaboration networks, co-citation patterns, citation bursts, and keyword trends to uncover key research clusters and emerging themes. Seven major clusters were identified, with their intellectual core built around influential publications that highlight blockchain’s role in improving transparency, efficiency, and trust in emergency response systems. The findings emphasize the growing impact of blockchain technology in enhancing preparedness and resilience during crises while identifying gaps in global collaboration and interdisciplinary innovation. Full article

In an era of evolving scholarly ecosystems, machine learning (ML) and artificial intelligence (AI) have become pivotal in advancing research impact analysis. Despite their transformative potential, the fragmented body of literature in this domain necessitates consolidation to provide a comprehensive understanding of their applications in multidimensional impact assessment. This study bridges this gap by employing bibliometric methodologies, including co-authorship analysis, citation burst detection, and advanced topic modelling using BERTopic, to analyse a curated corpus of 1608 scholarly articles. Guided by three core research questions, this study investigates how ML and AI enhance research impact evaluation, identifies dominant methodologies, and outlines future research directions. The findings underscore the transformative potential of ML and AI to augment traditional bibliometric indicators by uncovering latent patterns in collaboration networks, institutional influence, and knowledge dissemination. In particular, the scalability and semantic depth of BERTopic in thematic extraction, combined with the visualisation capabilities of tools such as CiteSpace and VOSviewer, provide novel insights into the dynamic interplay of scholarly contributions across dimensions. Theoretically, this research extends the scientometric discourse by integrating advanced computational techniques and reconfiguring established paradigms for assessing research contributions. Practically, it provides actionable insights for researchers, institutions, and policymakers, enabling enhanced strategic decision-making and visibility of impactful research. By proposing a robust, data-driven framework, this study lays the groundwork for holistic and equitable research impact evaluation, addressing its academic, societal, and economic dimensions. Full article

Sensory integration theory (SIT), which posits that the neurological process of integrating sensory information from the environment and one’s body influences learning and behaviour, and the sensory processing measure (SPM), a psychometric tool with versions for individuals aged 4 months to 87 years, are fundamental to understanding and assessing sensory processing. This study examined the existing evidence on the SPM and SIT using scientometric and narrative methods. A search of Scopus and Web of Science Core Collection from 1983 to 2024 yielded 238 unique records after deduplication. Scientometric analysis, conducted with CiteSpace (Version 6.4.R1) and VOSviewer (Version 1.6.19) explored publication trends, keyword co-occurrences, and citation bursts. A narrative method, based on a purposive sample of studies selected by title relevance from the 238 records, provided qualitative insights into key themes and concepts. Scientometric analysis revealed 11 key clusters, including ‘sensory processing behaviour’, ‘classroom context’, and ‘using electroencephalogram (EEG) technology’, reflecting diverse research areas and a growing publication trend, particularly after 2011. A narrative analysis, guided by these clusters, explored sensory processing differences in children with developmental disorders like autism spectrum disorder (ASD) compared to typically developing children, the relationship between sensory processing and other functional areas, the impact of classroom contexts on sensory processing, the use of EEG in sensory processing disorder (SPD) diagnosis, and the effectiveness of interventions like sound-based therapy and sensory integration therapy. The combined approach highlighted the wide application of the SPM and SIT, informing future research directions, such as longitudinal studies, comparative effectiveness research, and cultural adaptations of assessments and interventions. Full article

Recent years have seen a rapid expansion in research examining the relationship between homocysteine and stroke. In this study, we conducted a comprehensive bibliometric analysis of 233 articles related to homocysteine and stroke, published over the past 30 years in the Web of Science Core Collection. Our findings reveal a significant global increase in research on homocysteine and stroke, with China emerging as a leader, representing 39.9% of the total publications. Employing advanced methodologies such as co-citation analysis, bibliographic coupling, keyword co-occurrence, and citation burst analysis, we identified key research themes and emerging trends within the field. Notably, the results indicate a shift in focus from viewing homocysteine solely as a biomarker to recognizing its potential role in stroke prevention and management. These insights provide a valuable roadmap for future research directions and clinical strategies aimed at enhancing stroke prevention and improving patient outcomes. Full article

This study aims to provide a comprehensive knowledge mapping and extensive analysis of NeuroIS research, elucidating global trends and directions within this field from January 2007 to January 2024. A visual analysis of 256 research articles sourced from the Scopus database is conducted. The knowledge mapping, utilizing CiteSpace (CiteSpace 3.6 R1) and VOSviewer (VOSviewer 1.6.19), illustrates the current research landscape, encompassing collaboration networks, co-citation networks, references exhibiting citation bursts, and keyword analysis. The findings highlight the United States and Germany as leading nations in the exploration of NeuroIS, with the Karlsruher Institut für Technologie in Germany identified as a prominent institution in this domain. René Riedl, Pierre-Majorique Léger, Marc T. P. Adam, and Christof Weinhardt emerge as the most prolific authors in the field. Noteworthy themes that have garnered attention in recent years include customer experience, information systems, and information processing. Document analysis reveals that the study by Dimoka et al. in 2012 is the most cited work, providing a comprehensive overview of global NeuroIS research. Analysis of the document co-citation network identifies electroencephalography (EEG) in the context of technostress, the social impact of information in security alerts, and user experience in human–computer interaction as key areas of focus. René Riedl is recognized as the most cited researcher, while MIS Quarterly is distinguished as the leading journal in this field. Twelve NeuroIS papers exhibit high citation counts, with significant activity noted in 2021 and 2022. The timeline delineates the evolution of topics such as neuroscience, fMRI, cognitive neuroscience, social media, trust, eye tracking, and human–computer interaction. This study pioneers the examination of the current research status of NeuroIS through bibliometric analysis and the latest available data. It advocates for enhanced collaborations among scholars and institutions to improve information systems management and foster the development of NeuroIS. The study underscores the importance of ongoing research and cooperation in NeuroIS to deepen our understanding of how neuroscience can inform information systems design and management, thereby enhancing human–technology interaction. By identifying key trends, influential authors, and prominent themes, this analysis lays the groundwork for further exploration and innovation in this interdisciplinary domain. As technology continues to advance and our reliance on information systems intensifies, the insights derived from NeuroIS research can provide valuable perspectives on enhancing user experiences, optimizing information processing, and applying neuroscientific principles to develop more effective IT artifacts. Through sustained collaboration and knowledge sharing, the NeuroIS community can drive progress and shape the future of information systems management in an increasingly dynamic digital landscape. Full article

Objectives: This bibliometric analysis investigates recent research trends in biologics and small molecules for treating inflammatory bowel disease (IBD) based on literature from the past decade. Methods: This cross-sectional study involved analyzing data retrieved from the Web of Science Core Collection (WoSCC) database to examine the evolution and thematic trends of biological agents and small-molecular drugs for IBD conducted between 1 January 2014, and 20 September 2024. VOSviewer software was utilized to assess co-authorship, co-occurrence, co-citation, and network visualization, followed by a further discussion on significant sub-themes. Results: From 2014 to 20 September 2024, the annual number of global publications increased by 23%, reflecting an acceleration in research activity. The journal “Inflammatory Bowel Diseases” published the highest number of manuscripts (579 publications) and garnered the most citations (13,632 citations), followed by the “Journal of Crohn’s & Colitis” (480 publications) and “Alimentary Pharmacology & Therapeutics” (250 publications). The United States led in productivity with 1943 publications and 66,320 citations, with UC San Diego (291) and authors Sandborn and Vermeire (180) topping the list. The co-occurrence cluster analysis of the top 100 keywords resulted in the formation of six distinct clusters: Disease Mechanisms, Drug Development, Surgical Interventions, Therapeutic Drug Monitoring (TDM), Immunological Targets, and Emerging Therapies. Burst terms (TNF-α inhibitors, JAK inhibitors, and trough-level optimization) highlight trends toward personalized biologics and small-molecule regimens. Conclusions: The bibliometric analysis indicates that IBD therapeutic research and clinical applications focus on biologics and small molecules, with research trends leaning toward precise therapy conversion or the combination in non-responders. Future work will assess monotherapy, the combination, and conversion therapies and investigate new drugs targeting inflammatory pathways. Full article