Keyword Network Research Articles

Bibliometric Analysis of the Socialization of Islamic Inheritance Law in the Scopus Database and Its Contribution to Sustainable Development Goals (SDGs)

Purpose: This study, titled "Bibliometric Analysis of the Socialization of Islamic Inheritance Law in the Scopus Database and Its Contribution to Sustainable Development Goals (SDGs)," aims to map the development and direction of research on Islamic inheritance law from 2019 to 2024. It seeks to highlight the role of this field in addressing key SDG objectives, such as gender equality (SDG 5) and justice (SDG 16). Theoretical Framework: The theoretical framework focuses on the increasing relevance of Islamic inheritance law in global academic discussions, particularly in the Asian region, with Indonesia as a significant contributor. The study acknowledges its limitations, as it exclusively analyzes Scopus-indexed publications and does not incorporate other national or international databases. Methods: The research employs a bibliometric approach to analyze 109 publications related to Islamic inheritance law. Data analysis was conducted using R/R-Studio and Excel, while VOSviewer was utilized to visualize document citations and keyword networks. This methodological combination provides a robust framework for understanding publication trends and research dynamics. Results and Conclusion: The findings reveal a 26% annual growth rate in publications, with the highest output in 2023. Indonesia is the leading contributor, supported by affiliations such as Ar-Raniry State Islamic University and Imam Bonjol State Islamic University. Elfia emerges as the most prolific author. These results underscore the increasing global attention to Islamic inheritance law and its alignment with the SDGs, particularly in promoting equitable access to resources and fostering institutional integrity. Research implications: The implications of this study include providing a foundational reference for scholars interested in this field, identifying research gaps, and encouraging the exploration of diverse international data sources. This focus on expanding the scope of analysis aims to enhance the global relevance and inclusivity of future research. Originality/value: The novelty of this study lies in its comprehensive bibliometric approach, mapping global trends, institutional contributions, and author productivity in Islamic inheritance law research over the past five years. This work contributes to a deeper understanding of how Islamic inheritance law aligns with and supports SDG objectives.

Exploring Research Trends in Thai Learners Studying Korean via Topic Modeling and Keyword Network Analysis

Background and Objectives: The Korean language education in Thailand has increasingly spread. Research on Thai learners studying Korean has also been continually conducted. The number of students majoring in Korean at the undergraduate level and subsequently pursuing graduate studies in Korean, Korean literature, and Korean culture has also increased, leading to the dissemination of master’s and doctoral theses. This study aims to study the trends and current situation of research on Korean language teaching and learning for Thai learners using Topic Modeling and Keyword Network Analysis. By doing so, the study aims to present important information and suggest guidelines in developing Korean language teaching and learning in Thailand. Methods: This study examined 283 research papers and theses on Korean language education for Thai learners published between 1998 and September 2024. The dataset includes 149 theses, 93 KCI-indexed articles, and 41 TCI-indexed articles. The data were collected using the keywords relating to Korean language education for Thai learners from RISS (Research Information Sharing Service) and Thai Journals Online. Then Topic Modeling and Keyword Network Analysis was used to analyze topics and research patterns. Results: The Topic Modeling Analysis revealed that the research topics about curriculum and textbook development have consistently been of interest until now. In addition, the topics about language skills, including pronunciation, grammar, and pragmatics have been raised as research issues in various aspects. Especially, after 2020, there has been an increase in publishing the research papers on teacher training and learner-related factors such as anxiety and learning strategies. The Keyword Network Analysis showed the words "comparison," "use," "pattern," and "process" were used in many research topics. Application of this study: The continuing interest in curriculum and textbook development from the above study results highlights the need for diverse educational information tailored to the characteristics of Thai learners. Additionally, the growing focus on individual learner factors reflects the necessity of addressing learners' challenges and creating learning environments and effective teaching methods. In addition, the results of the Keyword Network Analysis suggest the necessity of conducting more cross-cultural studies that align with the special characteristics of Thai learners and applying these findings in educational settings. Conclusions: This study examined trends in Korean language education research for Thai learners, highlighting the importance of adapting to Thailand’s changing educational landscape. As Korean language education progresses in secondary and higher education, continued research and practical applications are essential. The rising interest among Thai students emphasizes the need for tailored instructional materials, innovative strategies, and learner-centered approaches. Integrating digital learning and addressing specific linguistic challenges will enhance the learning experience. Bridging theoretical research with classroom practice can ensure that Korean language education remains effective and responsive to the diverse needs of Thai learners better.

A bibliometric analysis of the development trend of Tuina research: Based on the Web of Science (WOS) platform.

Tuina has been proven to significantly relieve symptoms, demonstrating its clinical value. With the growth of related research, a comprehensive review is urgently needed to promote its development. This study aims to clarify the collaboration and current research status in the field of Tuina research using bibliometric analysis, and to discuss future directions. On February 4, 2023, the Web of Science Core Collection (WoSCC) database was searched using the keywords "tuina," "tui-na," "tui na," and "Chinese massage" to collect literature related to Tuina from its inception until December 31, 2022. The collected literature included all types of research articles and reviews. VOSviewer, CiteSpace, Pajek, and Scimago Graphica were utilized to perform a visual analysis of annual publication volume, as well as publication volume and collaboration networks of different countries, institutions, and authors, along with journal publication volume and keyword network analysis. A total of 761 publications were included in the analysis, with the total number of papers showed an increasing trend over time. The countries and institutions with the most publications were China and Shanghai University of Traditional Chinese Medicine, respectively. The authors who contributed the most were Min Fang, Qingguang Zhu, Zhiwei Wu, Lingjun Kong and Yufeng Wang. The most widely published journal in the field was the Journal of Acupuncture and Tuina Science. The clinical efficacy evaluation of Tuina therapy for musculoskeletal and spinal diseases, apoplexy sequelae, chronic diseases, and pediatric diseases were research hotspots and developing trends in this field. The research on Tuina has been increasing year by year. Currently, the focus of Tuina research lies in clinical studies, including the treatment of skeletal muscle and spinal diseases, stroke sequelae, chronic diseases, and pediatric illnesses, with pediatric Tuina emerging as a hot topic of research. Basic research in this field is relatively scarce, and the mechanisms of action of this therapy have not yet been fully elucidated. Future efforts in this area should aim to strengthen basic research and promote cooperation among international institutions.

The persistent global disparities in environmental and climate communication scholarship

IntroductionAs the climate crisis progresses, it is clear that environmental catastrophes are unequally distributed and unequally caused. The Global South is disproportionately affected by the consequences of climate change despite being less responsible for some of its anthropogenic causes, compared to the Global North.MethodsTo understand whether environmental and climate communication scholarship reflect the global nature of these crises, we conducted a publication review of 505 articles published in the top-producing journals of climate communication between 2020 and 2022, along with an authorship survey and keyword network analysis. We investigate who conducts environmental and climate communication research, the geographic focus and contextualization of the research, and the thematic focus of the research.ResultsThe Global North dominates in authorship (93%) and research focus (67%), while the Global South affiliated authors make up a fraction of the sample (7%) and of the research focus (12%), revealing a gap in scholarship based in and about the Global South. While articles across the Global North and the Global South focused on climate change and adaptation, articles about the Global South more prominently focused on disasters, vulnerability, and risk management.ConclusionThe review highlights the need for greater diversity in environmental and climate communication publishing and suggests consistent geographic naming practices in titles to achieve a more inclusive academy.

Topic Modeling of Nursing Issues in the Media During 4 Emerging Infectious Disease Epidemics in South Korea: Descriptive Analysis.

Emerging infectious disease disasters receive extensive media coverage and public attention. Nurse burnout and attrition peak during health crises such as pandemics. However, there is limited research on nursing issues related to repeated emerging infectious disease crises over time. The purpose of this study was to analyze and draw implications from changes in key nursing issues reported by the news media during the outbreaks of severe acute respiratory syndrome (SARS; 2003), influenza A (2009), Middle East respiratory syndrome (MERS; 2015), and COVID-19 (2020) in Korea using topic modeling. A total of 51,489 news articles were extracted by searching for the keywords "nursing" or "nurse" in the title or body of articles published from April 2003 to May 2021 (during new infectious disease outbreaks) in the open integrated database. The selected news articles were preprocessed then analyzed for text and structure using a 3-step keyword analysis method, latent Dirichlet allocation topic modeling, and keyword network analysis. Among the 51,489 news articles collected with the search terms "nursing" and "nurse," 17,285 (33.6%) were selected based on the eligibility criteria and used in the final analysis. Using topic modeling, we derived 5 topics each for SARS, influenza A, and MERS and 6 topics for COVID-19. The themes commonly identified through topic modeling and keyword network analysis across the 4 epidemics were "response to emerging infectious diseases in Korea," "demand for nurses," "vulnerability in the work environment," and "roles and responsibilities of nurses." Although the topic names were the same, the meanings implied by the comprehensive keywords for each epidemic varied depending on the epidemic and the times. Analysis of the identified themes and associated keyword network revealed that issues related to nurse shortages, working conditions, and poor treatment were not unique to the COVID-19 pandemic but rather recurring themes from previous epidemics. Our findings can be used to inform strategies to improve the professional roles, work environment, and treatment of nurses during health crises. Suggestions for future nursing-related policy impact and change research are also provided.

Bibliometric study of plastics microfluidic chip from 1994 to 2022: A review.

Microfluidic tools are widely used in research and manufacturing to manipulate fluids in micrometer channels. These tools are useful for detecting cell cultures, food pathogens, biomedical, energy, and disease. The affordability, versatility, biocompatibility, strength, and transparency of thermoplastics have contributed to its widespread use in the commercialization of microfluidic chips. A bibliometric study of plastic microfluidic chips was conducted using publications from the Scopus database between 1994 and 2022. The study analysed publications based on countries, journals, authorship, and keywords, while VOSviewer software was used for the visualization. Results showed that the United States and China were the most dominant article producers, accounting for almost 50% of publications. Lab On a Chip was the most active journal, with 22.84% of its publications involved in microfluidic chips. The network of keywords was coupled and concluded that Polydimethylsiloxane (PDMS), Polymethyl methacrylate (PMMA), Polystyrene (PS), and Cyclic olefin copolymer (COC) benefitted the researchers of microfluidic chips owing to their biocompatibility, durability, optically transparent, and inexpensiveness. By identifying global trends, key materials, and leading contributors in plastic microfluidic chip research, this study offers valuable insights into the most influential countries, leading journals, and primary materials. These insights are instrumental in guiding researchers, manufacturers, and academics in selecting future research directions and better material choices, particularly in the fields of biomedical diagnostics, food safety, and energy solutions.

Trends in urban edible landscapes: a comprehensive bibliometric analysis

Abstract In response to the dual challenges of urbanization and population growth, urban edible landscapes have emerged as innovative green infrastructure with the potential to address ecological, social, economic, and food security issues. This study systematically analyzes 3,089 publications from 2000 to 2024, sourced from the Web of Science database, using keywords such as ‘Edible Landscapes,’ ‘Edible Garden,’ ‘Rooftop Garden,’ ‘Community Garden,’ and ‘Productive Landscape.’ This study adopts bibliometric and visualization tools, such as CiteSpace and R, to systematically sort out and visualize the research hotspots, knowledge structure, emerging trends, and the evolution of this field. The analysis begins with a co-occurrence network of keywords, identifying core topics and evolving research trends. Cluster analysis further delves into various research themes, elucidating the field’s main directions and focal points. The paper highlights the multifaceted impacts of edible landscapes on urban ecosystems and residents’ well-being, emphasizing their critical role in promoting urban sustainability. Additionally, it outlines strategic recommendations for policymakers and stakeholders to enhance the implementation and expansion of urban edible landscapes in alignment with sustainable development goals. This research provides comprehensive insights into the historical evolution, status, and future trends of urban edible landscape studies, offering valuable guidance for policy development and practical innovation in both academic and real-world contexts.

텍스트 임베딩과 키워드 네트워크를 통한 한국의 유네스코 세계유산 뉴스 동향 분석

Although there has been a rise in text mining-based research on World Heritage, trend analysis highlighting the evolution of social perceptions and discourses related to World Heritage remains insufficient. In this study, we examine a trend of contextual relationship between World Heritage sites in Korea and their keywords through text embedding and network analysis on news data from 1990 to 2023. First, we find contextual clusters by embedding each news article with Sentence Transformer. The dendrograms generated for 5-year spans reveal coherent clusters on monuments, groups of buildings, and sites, with several small transient clusters. Furthermore, we demonstrate the evolution of contextual clusters by detecting communities in the keyword networks built upon word2vec. We find coherent communities about inscription, evaluation, and diplomacy, with transient communities on hot topics such as Jeju Volcanic Island, and Korean Tidal Flats. This study suggests a novel trend analysis framework combining text embedding and keyword networks and provides insights for future policy-making by highlighting the limitations of media coverage related to World Heritage.

키워드 네트워크 분석을 통한 발달장애인의 사회성 관련 연구 동향 분석

This study used keyword network analysis to explore research trends in social skills among Koreans with developmental disabilities. A total of 554 articles published between 2000 and July 2024 were analyzed, resulting in 898 keywords. NetMiner was used to examine general research trends and the frequency and network of major keywords. The findings were as follows: First, frequently occurring keywords included “autism spectrum disorder,” “communication,” and “interaction.” TF-IDF analysis highlighted “children with autism,” “augmentative and alternative communication systems,” and “problem behavior.” Second, “autism spectrum disorder” and “communication” showed high centrality. Keywords like “children with autism” and “communication” emerged as central over time. Third, topic modeling indicated that peer relationships, problem behaviors, and communication-related interventions were key themes in studies related to social skills in individuals with intellectual and developmental disabilities, as well as autism spectrum disorder. These findings suggest directions for further research on the social skills of Koreans with developmental disabilities.

"Institutional Grammar Tool for Policy Analysis: A Systematic Review of Literature "

A key method for institutional analysis is the Institutional Grammar Tool (IGT), introduced by Crawford and Ostrom in 1995, which facilitates the breakdown of legal documents into components, further named institutional statements. This systematic review examines the IGT’s evolution and applicability in scientific literature to understand institutional dynamics and policymaking. Using bibliometric analysis and systematic literature review, we analysed the content of 432 articles spanning 1995 to 2023, focusing on IGT usage and outputs, out of which 62 articles were relevant for the present analysis. The analysis reveals a significant and promising trend in IGT’s adoption, with a notable surge in publications since 2010. North American authors lead in IGT usage, particularly in legislative content analysis. Case studies were focused on environmental and social-ecological domains. While IGT remains a primary analysis method in most studies, complementary methods such as interviews and qualitative comparative analysis supplement its application. The advantages of IGT include enhanced institutional understanding and rigorous policy analysis, while limitations such as interpretative challenges and time constraints persist. Thematic clusters in keyword networks show how research interests are changing over time. For example, regulatory governance was studied in the past, whereas lately normative frameworks and computational modelling in conservation governance have been employed. This review underlines the increasing relevance of the IGT in institutional analysis and policy studies. By synthesizing trends and methodologies, it provides valuable insights into IGT's evolution and challenges, paving the way for future research endeavours aimed at refining its applicability and advancing governance theory and practice.

키워드 네트워크 분석을 활용한 유아 놀이치료 관련 연구동향 분석

Objectives The purpose of this study is to examine research trends related to infant play therapy using keyword network analysis. Methods For this purpose, a total of 486 academic theses related to the keywords of ‘young child’ and ‘play therapy’ were collected from RISS. The collected keywords were refined through excel, and the refined keywords were analyzed using the Netminer 4.0 program to analyze the keyword frequency, co-occurrence frequency, network attributes and centrality (connection, proximity, and mediation) of the top 30 keywords among all keywords, and visualized the analysis results. Results First, as for the frequency of keywords appearing in the research related to children's play therapy, ‘Art Therapy’ was the highest frequency, followed by ‘Group Art Therapy’ and ‘Emotional Intelligence’. As for the frequency of co-occurrence, ‘emotional intelligence-group art therapy’ showed the highest frequency, followed by ‘sociality-problem behavior’, ‘sociality-group art therapy’, and ‘emotional intelligence-art therapy’. Second, the analysis of the centrality of the research related to children's play therapy showed that ‘Art Therapy’, ‘Group Art Therapy’, and ‘Problem Behavior’ were equally high in connection centrality, proximity centrality, and mediation centrality.Next, the connection centrality was shown in the order of ‘emotional intelligence’ and ‘self-esteem’, the proximity centrality was shown in the order of ‘self-esteem’ and ‘emotional intelligence’, and the mediating centrality was shown in the order of ‘emotional intelligence’ and ‘music therapy’. Conclusions The results of this study are meaningful in providing implications for the theme and direction of infant play therapy research by grasping the trends of play therapy research for infants, and it is expected that the research on infant play therapy will become a guide for future research and revitalize related research.

키워드 네트워크 분석을 통한 대학생 몰입 관련 연구동향 분석

Objectives This study aims to examine the trends of previous research on immersion involving university students through keyword network analysis and to identify the patterns within this body of research. Methods Based on a total of 436 papers related to immersion, this study utilized Textom to apply text mining techniques, analyzing key keywords related to university student immersion, patterns of connectivity concerning student immersion, and clustering relationships among network keywords related to student immersion. For analysis, matrices were extracted to calculate values for word clouds, word frequency, keyword TF-IDF values, and social network analysis. Additionally, the study analyzed the relationships among co-occurring keywords in studies on student immersion using N-gram analysis. CONCOR analysis was also conducted to derive word similarity clusters. Results Through an analysis of studies on immersion involving university students, the following research findings were derived. Since 2011, studies related to immersion have expanded, with a variety of perspectives forming academic trends, especially around the COVID period. Research topics related to immersion, such as competency development, learning engagement, and career choice, were prominent. Additionally, it was observed that communication and collaboration within various organizations became possible on the basis of digital media, with a trend toward focusing on immersion in digital devices and media communication as specific research subjects. There was also an academic interest in the social phenomenon of the younger generation pursuing happiness through immersion experiences related to leisure and well-being. On the other hand, it was noted that in an uncertain social outlook, students’ immersion has increasingly become oriented toward problematic subjects or skewed toward negative behavioral patterns. Conclusions As there have been no prior studies analyzing trends in university student immersion research using keyword network analysis methodology, this study is expected to contribute to exploring new directions for future research on university student immersion.

Analysis of Research Trends related to Early Childhood Ecological Transformation Education using Keyword Network Analysis

Analysis of Research Trends related to Early Childhood Ecological Transformation Education using Keyword Network Analysis

VISUALIZATION OF COLLABORATIVE NETWORKS AND TOPIC TRENDS IN PROACTIVE ENVIRONMENTAL STRATEGIES TOWARDS SUSTAINABLE DEVELOPMENT: A BIBLIOMETRIC REVIEW

This study aims to identify research themes and emerging trends through a systematic bibliometric literature review on proactive environmental strategies towards sustainable development, using data from the Web of Science and Scopus databases over the past 20 years from 2004 to 2024. In this paper, a bibliometric analysis, a quantitative method for evaluating academic literature, was conducted to analyze and visualize the number of documents, collaborative networks, and keyword networks. The results indicate that research on proactive environmental strategies towards sustainable development has been increasing year by year. The main research themes were identified through keyword analysis using bibliometric tools including environmental management, environmental performance, corporate social responsibility, and product life cycle assessment. Emerging trends in this field include stakeholders, human resource management, green innovation, and environmental policy. Based on the literature analysis, this study proposes a future research agenda suggesting that future studies should focus on cross-country and cross-industry comparative studies, the influence of national political policies, stakeholder-driven green innovation, and the role of government in promoting proactive corporate environmental strategies. Focusing on these areas is important as they address the multi-faceted and interconnected nature of corporate environmental strategies. By examining the comparative contexts, policy influences, stakeholder roles, and governmental support, researchers can provide comprehensive insights and actionable recommendations for promoting sustainable business practices globally.

BIBLIOMETRIC TRENDS ON HALAL SCIENCE AND HALAL EDUCATION: A REVIEW

The global halal industry has grown significantly, driven by contributions from government, industry, academia, community, and environmental stakeholders. This growth underscores the importance of science and technology (S&T) and education in advancing the halal ecosystem. However, limited research has explored halal science within a holistic, faith-based framework or the development of formal halal curricula. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), this study investigates publication trends and the body of knowledge in halal science and halal education. Using a bibliometric approach, data from Scopus were analysed through tools like VosViewer software v1.6.13 and Biblioshiny tools (RStudio 2023.12.0) while for Google scholar the search was done through Publish and Perish v8.0 . The study identified 155 Scopus and 96 Google Scholar entries, focusing on trends, thematic mappings, and keyword networks. Findings reveal increasing interest in both domains, with Scopus highlighting halal authentication, profiling, and halal meat research, while Google Scholar focuses on consumer behaviour and perceived knowledge. Both sources lack alignment with a holistic, tawhidic-based approach to halal science and have minimal attention to formal halal education curricula. Research in halal science remains tied to conventional S&T applications, and halal education primarily addresses consumer knowledge rather than structured learning. The study concludes that halal science needs a faith-based paradigm, and halal education requires formal integration into curricula to sustain the halal ecosystem. Future efforts should develop comprehensive halal curricula across educational levels and integrate tawhidic principles into halal science. These initiatives will bridge gaps, fostering innovation and sustainable growth in the halal industry.

Research Trends on Metabolic Syndrome in Digital Health Care Using Topic Modeling: Systematic Search of Abstracts.

Metabolic syndrome (MetS) is a prevalent health condition that affects 20%-40% of the global population. Lifestyle modification is essential for the prevention and management of MetS. Digital health care, which incorporates technologies like wearable devices, mobile apps, and telemedicine, is increasingly becoming integral to health care systems. By analyzing existing research trends in the application of digital health care for MetS management, this study identifies gaps in current knowledge and suggests avenues for future research. This study aimed to identify core keywords, topics, and research trends concerning the use of digital health care in the management of MetS. A systematic search of abstracts from peer-reviewed papers was conducted across 6 academic databases. Following eligibility screening, 162 abstracts were selected for further analysis. The methodological approach included text preprocessing, text network analysis, and topic modeling using the BERTopic algorithm. Analysis of the 162 selected abstracts yielded a keyword network comprising 1047 nodes and 34,377 edges. The top 5 core keywords were identified as "MetS," "use," "patient," "health," and "intervention." We identified 12 unique topics, with topic 1 focusing on the use of telehealth for self-management of diabetes. The diversity of the 12 topics reflected various aspects of digital health care, including telehealth for diabetes management, electronic health records for MetS complications, and wearable devices for monitoring metabolic status. Research trends showed an expanding field of precision medicine driven by the demand for tailored interventions and the significant impact of the COVID-19 pandemic. By analyzing past research trends and extracting data from scholarly databases, this study has provided valuable insights that can guide future investigations in the field of digital health care and MetS management.

Microplastic research trends in the Gulf region from a global perspective

IntroductionMicroplastic (MP) pollution research has experienced significant global growth, with an exponential increase in publications since 2015. Despite this surge, research focused on the Gulf region remains limited. This gap is particularly concerning given the Gulf's dense industrial activities and substantial waste production. This study provides the first bibliometric analysis of MP research globally and within the Gulf region, examining the current state and emerging trends while identifying specific topics for future studies.MethodsA bibliometric analysis of peer-reviewed articles published between 2000 and 2024 was conducted for global and Gulf region research. Bibliometric analysis employed several tools to identify trends, keyword networks, and research gaps, with manual refinement of keywords to enhance accuracy. The study also analyzed leading countries and institutions contributing to MP research.Results and DiscussionThe analysis highlights significant global contributions, with China emerging as a leader in MP research globally and Iran playing a prominent role within the Gulf region. While global publications have increased exponentially since 2015, the Gulf region's research output remains underrepresented, accounting for only about 1.1% of global publications. This underscores the need for enhanced regional research to better integrate the Gulf into the global discourse on MPs. Keyword analysis reveals that certain areas of MP research remain unexplored in the Gulf region. The trend analysis shows an evolving focus globally, shifting from basic interactions of MPs with marine environments to more complex issues such as environmental health and ecosystem impacts. This progression indicates a maturing field that increasingly addresses the broader implications of MP pollution.

Exploring the role of NLRP3 infalmmasome in diabetes: a literature review and bibliometric analysis.

Diabetes has emerged as the foremost public health challenge of the 21st century, with a notable shift towards managing it through an inflammatory lens. This study seeks to investigate the role of NLRP3 infalmmasome in diabetes over the past ten years, leveraging bibliometric analysis to pinpoint prevailing trends, underscore critical focal points, and establish a roadmap for subsequent research endeavors. A literature search was conducted based on the SCI-E database, and all recorded results were downloaded in plain text format for subsequent analysis. The analysis was carried out using Vosviewer1.6.18, citespace6.3R1, and Microsoft Excel 2021 software, focusing on the following terms: country, institution, author, journal, references, and keywords. From January 1, 2014, to December 31, 2023, a total of 1373 articles were retrieved, with China, the United States, and Italy contributing the majority of records. Harbin Medical University, Nanjing Medical University, and Central South University stand as the top three most productive institutions. "International Journal of Molecular Sciences" leads the way with the highest number of publications, closely followed by "Frontiers in Immunology" and "Frontiers in Pharmacology." Authors Wang Wei boast the most publications, closely followed by Li Xiang and Wang Yan. Within the superimposed keyword network, four primary clusters emerge: (1) exploring the link between NLRP3 infalmmasome and inflammatory diseases like diabetes; (2) investigating the cellular-level pathogenesis of diabetes-related conditions; (3) examining diabetes characteristics and associated suppression techniques; (4) studying cell morphology alterations, including pyroptosis. Over the past five years, key topics in this field have revolved around the "heart", "damage", "caspase 1 activation", "NLRP3", and "diabetic kidney disease". This paper has identified the hot spots and trends concerning the role of NLRP3 infalmmasome in diabetes, thereby providing a valuable reference for future research. Furthermore, it is anticipated that pyroptosis and diabetes-related diseases will become frontier research topics that may garner significant attention in the coming years.

Bibliometric Analysis of Spatial Ability Studies Based on Scopus Data

The aim of this study was to conduct a bibliometric analysis of all studies related to spatial ability available in the Scopus database. It is expected that this research will make a significant contribution to the literature on spatial ability and serve as an important resource. In this way, researchers can gain a better understanding of the topic, evaluate the current research landscape, and use this information to plan their own studies. A bibliometric analysis method was employed in this study. Through this method, the Scopus database was searched, and 7,345 studies published from 1939 to the present were examined. We categorized the selected studies by publication year, source, authors, institutions, countries, types, subject areas, and the most highly cited works. Additionally, network maps illustrating co-authorship relationships by author and country, common keyword networks, bibliographic coupling by institution, and co-citation networks based on cited studies, journals, and authors are presented in detail in the findings section. The results indicate that numerous studies on various aspects of spatial ability have been conducted in different countries over time.

Bibliometric Analysis of Math and Artificial Intelligence Research

This study conducts a comprehensive bibliometric analysis to explore the landscape of research in mathematics and artificial intelligence (AI). Using Scopus as the primary data source, we identify key publications and trends in these fields. Through VOSviewer, we visualize networks of keywords and collaborations among researchers and institutions. The analysis reveals the prominence of topics such as AI and mathematics in academic discourse, as well as the central role played by countries like the United States, the United Kingdom, and China in research collaboration. Limitations include potential biases in data sources and the reliance on keywords for analysis. Future research could integrate alternative metrics and qualitative analyses to provide a more nuanced understanding of research trends and impact.