Keyword Co-occurrence Analysis Research Articles

The Application of Machine Learning and Deep Learning in Intelligent Transportation: A Scientometric Analysis and Qualitative Review of Research Trends

Machine learning (ML) and deep learning (DL) have become very popular in the research community for addressing complex issues in intelligent transportation. This has resulted in many scientific papers being published across various transportation topics over the past decade. This paper conducts a systematic review of the intelligent transportation literature using a scientometric analysis, aiming to summarize what is already known, identify current research trends, evaluate academic impacts, and suggest future research directions. The study provides a detailed review by analyzing 113 journal articles from the Web of Science (WoS) database. It examines the growth of publications over time, explores the collaboration patterns of key contributors, such as researchers, countries, and organizations, and employs techniques such as co-authorship analysis and keyword co-occurrence analysis to delve into the publication clusters and identify emerging research topics. Nine emerging sub-topics are identified and qualitatively discussed. The outcomes include recognizing pioneering researchers in intelligent transportation for potential collaboration opportunities, identifying reliable sources of information for publishing new work, and aiding researchers in selecting the best solutions for specific problems. These findings help researchers better understand the application of ML and DL in the intelligent transportation literature and guide research policymakers and editorial boards in selecting promising research topics for further research and development.

Bibliometric analysis of chimeric antigen receptor T-cell therapy

Background: CAR-T therapy refers to the genetic material with a specific antigen recognition domain and T cell activation signal is transferred into T cells through gene modification technology so that T cells are activated directly by combining with specific antigens on the surface of tumor cells, and directly kill tumor cells by releasing perforin, granzymin B, etc. This review aims to point out the emerging trends in different classes of immune cell therapies and provide insights for future research. Methods: All relevant literature on CAR-T therapy has been screened from the Web of Science and analyzed for its research trends with the help of VOS viewer, Pajek, Microsoft Excel and Endnote software, Results: According to the findings, the United States is the most productive country in this field. The institution with the highest number of publications is the University of Pennsylvania. Frontiers in Immunology is one of the most productive journals. Gottschalk Stephen publishes the largest number of articles. Keyword co-occurrence analysis shows that the current research trend is more focused on immune cell therapy as well as CAR-T, and the mechanisms and modalities were explored in CAR-T therapy. Conclusion: This study provides a comprehensive summary and analysis of global research trends in CAR-T therapy. In detail, CAR-T therapy has provided hope for tumor treatment, truly bringing new hope to the majority of tumor patients, patients with major diseases, and sub-healthy people.

SPIRITUALITY AND SUSTAINABILITY: A BIBLIOMETRIC REVIEW

Amidst the global stress escalation triggered by the COVID-19 pandemic, there has been a noticeable surge in people turning to spirituality. Recognizing the growing importance of spirituality in contemporary society, this study investigates the relationship between spirituality and sustainability through a bibliometric analysis, utilizing the SCOPUS database. The main objective of the study is to holistically map and evaluate the direction of the area by identifying prominent themes, patterns, and major works, which in turn will be used as the guiding principles for future research. The analysis of 384 documents reveals a substantial upward trend in publications between 1993 and 2023. Predominantly, studies on spirituality and sustainability originate from the United States of America, India, and Australia. Through the evaluation of bibliometric data, this research identifies leading authors, publications, journals, and institutions in the field. Additionally, keyword co-occurrence analysis, topic modeling, and content analysis unveil the theoretical foundations and emerging patterns, offering valuable insights for future research directions. The study showcases diverse themes in spirituality and sustainability, providing implications for both academics and organizations. Furthermore, it sheds light on areas where research is lagging in the current landscape.

Islamic Finance Transformation: A Bibliometric Analysis

This research paper aims to comprehensively examine the evolution, themes, and trends within Islamic finance transformation. This study used bibliometric analysis in biblioshiny R-Studio to collect and analyze relevant scholarly sources. We perform citation network analysis, co-authorship analysis, and keyword co-occurrence analysis to identify the intellectual structure in Islamic finance transformation. We found that Malaysia is the most outstanding country in this topic, the Journal of Islamic Accounting and Business Research is the most outstanding journal, and International Islamic University Malaysia is the most outstanding affiliation. Our study also reveals a notable increase in publications on Islamic finance transformation over the past decade, indicating growing interest. Key themes identified include fintech, regulatory frameworks, ethics, and Islamic-conventional finance integration. We highlight influential scholars and journals shaping the field, showcasing its multidisciplinary nature. This research offers a comprehensive overview of Islamic finance transformation literature, synthesizing themes and highlighting ongoing research areas. The bibliometric analysis provides quantitative insights into influential works and scholars, serving as a valuable resource for researchers, policymakers, and practitioners navigating the evolving landscape of Islamic finance.

Analysis of research trends on the implementation of information systems in the agricultural sector

The process of introducing computer systems in the agricultural sector, also known as Agriculture 4.0, seeks to optimize agricultural production and management at different stages of the agricultural production system. The purpose of the study was to explore research trends on the implementation of computer systems in the agricultural sector. The research approach was quantitative, with a descriptive scope and based on bibliometric procedures. The research was conducted in the SCOPUS database in the period between 1994 and 2023. A total of 73 investigations were obtained. The behavior of the research was heterogeneous, but a stable trend towards the growth of the field could be identified. Regarding the structure of knowledge, research in the area of biological sciences and agriculture predominated with 25 articles. The most productive country is India and the affiliation of the same country was Kumaun University India and the Czech University of Life Sciences Prague, both with four investigations (n=4). The most cited journal with 110 citations was Ecological Informatics, a journal that has an impact factor of 0,92. Four main lines of research were identified from the keyword co-occurrence analysis

Exploring new frontiers of experiential learning landscape: a hybrid review

PurposeExperiential learning is crucial in education, as it offers hands-on, practical experiences that enable individuals to develop their skills and knowledge more engagingly and interactively. In recent years, experiential learning has become a significant aspect of education. To provide academic scholars with a thorough roadmap for further investigation, this study aims to provide useful insights into the bibliometric and content analysis of experiential learning, including keywords, well-known authors, publications, nations and topics.Design/methodology/approachThis research does a rigorous bibliometric analysis to give a thorough and visually instructional assessment of the evolution and advancement of the literature on experiential learning. Its fast development between 1976 and 2022 is meticulously tracked in the research. By using VOSviewer and Biblioshiny tools, the present study presents a concise overview of 507 records retrieved from the Scopus database using the keyword “Experiential Learning”, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis protocol. Deeper text mining was done using Python libraries “Pandas” and “Natural Language Toolkit” and regular expressions.FindingsThe findings reveal a surge in the number of publications on experiential learning and provide insights, particularly using the theory, context, characteristics, methodology analysis, supporting researchers and practitioners to understand learning better and provide perspectives for future research. Descriptive bibliometric analysis showed that most contributions are from the USA, the UK and Canada. In-depth content analysis revealed five clusters: developments in learning, management education, engineering curricula, organisational learning and knowledge management and entrepreneurship education. The keyword co-occurrence analysis enabled linkages between relevant fields of study and significant research domains. The most commonly used theories were: experiential learning theory, social learning theory, relational coordination theory, empowerment theory, feedback learning theory, effectuation theory and human capital theory.Originality/valueThis study uses information from the Scopus database to do a bibliometric analysis of experiential learning from 1976 to 2022. This study serves as a valuable resource for researchers in the field, helping them to position their work more explicitly within the existing literature and highlighting potential areas for future research. It does this by thoroughly analysing the literature on experiential learning using bibliometrics.

The Progress and Trend of UAV Power Line Inspection: A Bibliometrics-based Visualization Analysis

<p> Background: The application of Unmanned Aerial Vehicle (UAV) is a major turning point in the history of power line inspection and is of increasing interest to a growing number of researchers. </p><p> Objective: This study aimed to clarify the research status, hotspots, and evolutionary trends of UAV power line inspection, to help researchers understand the dynamic evolution of research topics and provide guidance for future research directions. </p><p> Methods: 737 high-quality papers were collected from the Web of Science Core Collection (WoSCC) database from 2001 to 2023, and descriptive statistical analysis, cooperation network analysis, keyword co-occurrence analysis, keyword clustering analysis, and keyword citation burst analysis were conducted using VOSviewer and CiteSpace. </p><p> Results: The popularity of research in this field is increasing. Chinese academic institutions and scholars have made outstanding contributions. The level of cooperation between different countries, academic institutions, and scholars is low. The research on UAV power line inspection has a wide range of topics and obvious interdisciplinary characteristics, mainly focusing on fault detection and diagnosis, path planning, and the application of deep learning in intelligent inspection. The research hotspot and trend is the integration of artificial intelligence, deep learning, and modern information technology to achieve UAV autonomous intelligent inspection. Some of the challenges faced in the development of the field are also summarized and possible solutions are proposed. </p><p> Conclusion: This study provides a comprehensive and systematic review, and the results can provide a quick overview of the research status, hotspots, and evolutionary trends.

A mapping-knowledge-domain analysis of ERP research on language processing.

The event-related potentials (ERPs) technique represents a newly developed methodology in cognitive neuroscience and has significantly extended the scope of linguistic studies, offering valuable insights into cognitive processes related to language. While extant literature reviews have addressed specific facets of ERP research on language processing, a comprehensive overview of this domain remains notably absent. This study aims to fill this gap by pioneering a mapping-knowledge-domain analysis of ERP research on language processing using Citespace, a visualized bibliometric software. The current study conducted a meticulous survey and evaluation of relevant literature extracted from the Web of Science core collection. Initially, this study outlines the spatial-temporal distribution within this domain. Subsequently, employing document co-citation analysis, keyword co-occurrence analysis, cluster analysis, and burst detection analysis, this study delved deeper into the research landscape. Findings reveal that key areas in ERP research on language processing predominantly focus on sentence comprehension, reading comprehension, and mismatch negativity, with notable emphasis on topics such as speech perception, temporal dynamics, and working memory. The current study advocates for future investigations to concentrate on larger linguistic units, explore the integration of ERP components and their functional significance, and scrutinize individual differences among participants. These directions are imperative for advancing the understanding of language processing mechanisms.

A Bibliometric Analysis of Supply Chain Management within Modular Integrated Construction in Complex Project Management

As construction projects become increasingly complex, modular integrated construction (MiC) has emerged as a pivotal solution, driving integrated development in complex projects. However, the reliance on prefabricated modules underscores the crucial role of supply chain management (SCM) in MiC, necessitating strategic planning and operational control. This study aimed to use bibliometric analysis to map the SCM knowledge domain within MiC. Through the use of keywords related to “supply chain” and “MiC”, 196 relevant papers were extracted from the Web of Science database. These papers were subjected to co-citation analysis, keyword co-occurrence analysis, and time span analysis to elucidate the historical evolution, multidisciplinary domains, and future directions in planning and control within SCM-MiC. The research identified two milestones in SCM-MiC’s historical trajectory, enhancing our understanding of its foundations. Moreover, 11 clusters were identified, illustrating the multidisciplinary nature of SCM-MiC. Dividing the literature into seven stages of the supply chain, the research outlined four research directions aligned with project complexity and technological development, highlighting current hotspots and gaps of the strategic planning and control. These directions bridge the construction management and information technology domains, guiding future SCM-MiC research within complex project management.

A Bibliometric Analysis on Trends and Patterns in Self-Regulated Language Learning in Mobile-Assisted Learning Environments

This study analysed 498 articles published between 2005 and 2023 on Self-regulated Language Learning (SRLL) indexed in the core collection of the Web of Science database, using a bibliometric methodology based on scientific mapping, co-occurrence and burstness analysis. Results show China is the most influential contributor to SRLL research, with the largest number of total publications and citations. According to the keyword co-occurrence and burstness analysis, mobile-learning, higher education, learning context, learner strategies stand out in this field. It is also shown that listening as a significant linguistic skill is less explored in the SRLL field. It is proven that learners' language skills could be improved through mobile-assisted collaborative learning in informal settings. By identifying the developmental patterns in SRLL research, this paper can guide future researchers to explore in-depth the significant issues in this field and bring insight for further SRLL studies in terms of themes, pedagogy and methodologies.

Evolution and trends in retailing: insights from International Journal of Retail & Distribution Management

PurposeThis study aims to embark on a bibliometric journey through the International Journal of Retail & Distribution Management (IJR&DM) to delve into its rich repository of applied retailing research.Design/methodology/approach626 publications in IJR&DM between 2015 and 2023 have been retrieved from Scopus for performance analysis of the journal’s publication (productivity) and citation (impact) trends as well as a science mapping of the journal’s collaborators (contributors) and major themes (contributions).FindingsThe performance analysis highlights the growth in the productivity and impact of IJR&DM alongside its most cited publications, most prolific contributors, most relied-on journals, as well as the authors, institutions, countries, and journals that the journal has impacted the most. The co-authorship analysis reveals the collaboration (i.e., international with a high concentration in Europe and North America along with an emerging presence in Asia) of IJR&DM. Keyword co-occurrence analysis and bibliographic coupling reveal eight themes. Our exploration revealed close interconnections among various domains including retailing and adaptive strategies, channel strategies, customer experience, market innovations, operations management, relationship marketing, shopping motivation, and sustainability.Research limitations/implicationsAlthough this study delivers a state-of-the-art overview of the retail industry through the scientific contributions from IJR&DM, it remains limited to the insights from a single authoritative source of knowledge on retailing.Originality/valueNo review, to date, has been conducted for IJR&DM. This study provides the inaugural retrospective of the scientific contributions of IJR&DM, outlining publication and citation trends alongside the intellectual structure of its body of knowledge on retailing. Theoretically, this retrospective is pivotal in charting the intellectual growth and thematic nuances inherent in retail research. Practically, this study serves as a guide for practitioners, enabling them to make strategically informed decisions and craft forward-looking strategies in sync with current realities.

Research on the global trends of COVID-19 associated acute kidney injury: a bibliometric analysis

Critically ill COVID-19 patients may exhibit various clinical symptoms of renal dysfunction including severe Acute Kidney Injury (AKI). Currently, there is a lack of bibliometric analyses on COVID-19-related AKI. The aim of this study is to provide an overview of the current research status and hot topics regarding COVID-19 AKI. The literature was retrieved from the Web of Science Core Collection (WoSCC) database. Subsequently, we utilized Microsoft Excel, VOSviewer, Citespace, and Pajek software to revealed the current research status, emerging topics, and developmental trends pertaining to COVID-19 AKI. This study encompassed a total of 1507 studies on COVID-19 AKI. The United States, China, and Italy emerged as the leading three countries in terms of publication numbers, contributing 498 (33.05%), 229 (15.20%), and 140 (9.29%) studies, respectively. The three most active and influential institutions include Huazhong University of Science and Technology, Wuhan University and Harvard Medical School. Ronco C from Italy, holds the record for the highest number of publications, with a total of 15 papers authored. Cheng YC’s work from China has garnered the highest number of citations, totaling 470 citations. The co-occurrence analysis of author keywords reveals that ‘mortality’, ‘intensive care units’, ‘chronic kidney disease’, ‘nephrology’, ‘renal transplantation’, ‘acute respiratory distress syndrome’, and ‘risk factors’ emerge as the primary areas of focus within the realm of COVID-19 AKI. In summary, this study analyzes the research trends in the field of COVID-19 AKI, providing a reference for further exploration and research on COVID-19 AKI mechanisms and treatment.

A bibliometric analysis on gamifying adult learning: past, present and future trends of learner-centered pedagogies

Purpose The psychological theory of self-determination postulated that gamification enhances learning engagement by intrinsically motivating learners to undertake tasks spontaneously. Gamification has then been integrated into adult learning as part of the initiative of learner-centred pedagogies to curb the low retention rates of adult learners who struggle with heavy work commitments, family obligations and financial pressure. Gamification, being one of the technological mediations, assumes the crucial role of engaging and retaining adult learners. Adult learners have received less attention in research when compared with conventional university students. The purpose of this study is to conduct a bibliographic analysis to assess the past, present and future publication trends of gamifying adult learning and to identify the research gap. Design/methodology/approach This study included publications related to gamification and adult learning from 2014 to 2022, extracted from Dimensions. A total of 79,864 publications were retrieved initially, and 3,469 publications were ultimately selected for final analysis after the refinement of the keyword search. VOSviewer was used for bibliographic coupling, keyword co-occurrence, clustering and co-citation analysis of countries. Findings The number of publications related to gamification in adult learning has decreased since its peak in 2020. The saturation is mainly concentrated in the USA, the UK and China, with similar levels of national income and technology advancement skills. However, gamification in adult learning remains a popular and growing research area in developing countries like Malaysia, which has huge potential due to government investments in education, technology and lifelong learning. There is also an evident research gap on gamification, adult learning and personality traits, which have not been covered in previous studies. Originality/value Prior research mostly focused on systematic literature reviews, while the use of bibliometric analysis could be a missing link in this research domain. This paper unveils the evolution of publications on this topic over time by scientifically analysing a large number of publications and rigorously identifying research gaps contributing to future research avenues.

A bibliometric and visualization analysis of research trends and hotspots on targeted therapy for breast cancer from 2003 to 2022.

Breast cancer is a significant public health issue, exhibiting the most pronounced occurrence and fatality rates among malignant neoplasms globally. Targeted therapy is a medical intervention that focuses on specific molecular markers. This study aims to investigate and evaluate the current research trends and directions in the field of targeted therapy for breast cancer using bibliometric analysis. The Web of Science database was utilized to retrieve relevant articles published between 2003 and 2022. The VOSviewer software and Bibliometrix package in the R language were employed to conduct co-occurrence and clustering analyses of authors, countries, institutions, journals, references, and the CiteSpace tool was utilized for keyword burst detection. A total of 2,258 articles were included and the annual number of publications increased rapidly. The most prolific country on this topic was the USA (n=898, 39.77%) and the University of Texas MD Anderson Cancer Center published most papers (n=93). Dennis J. Slamon and Gabriel N. Hortobagyi stood out in the field, with Dennis J. Slamon leading in terms of co-citations(n=653) and Gabriel N. Hortobagyi topping the list in terms of published articles(n=18). The most productive journal was Breast Cancer Research and Treatment and the most cited journal was Journal of Clinical Oncology. The clustering of keywords indicated that the primary focus of researches in the past two decades was on the development and clinical evaluation of tumor-targeted drugs associated with the epidermal growth factor receptor (EGFR) family signaling pathway, and explored mechanisms related to biological behavior of breast cancer. Keywords co-occurrence and burst analysis identified current research hotspots and potential research trends. This study employed bibliometric analysis to examine research on targeted therapy for breast cancer over a span of 20 years, and identified development trends of research and elucidated potential research trajectories in the domain of this topic. This study helps in the identification of prospective collaborators and partner institutions for researchers.

Connecting the Dots: A Bibliometric Analysis Exploring the Relationship between Knowledge Management and Organizational Structure

Abstract Knowledge management and organizational structure are of utmost importance for organizations to stay competitive in today’s constantly changing markets. This paper aims to study the relationship between knowledge management and organizational structure using a bibliometric analysis. 296 publications were selected from the Web of Science database for this research and analyzed with VosViewer and Biblioshiny software. The analyses focused on identifying the general academic performance, as well as the thematic and social structure of the academic knowledge in this field. The results have highlighted that China dominates the field in terms of production, the UK in terms of sources, and The US in terms of impact (article, author, and institution-wise). The keyword co-occurrence analysis highlighted a strong connection between knowledge management, organizational structure, and performance. The social structure proved to have China and the US at the top, with the strongest collaboration link and highlighted that the UK has not yet collaborated with the US. The novelty of the current research lies in the insights it provides into the studied topic which could facilitate global managers’ development of new strategies focused on the highlighted connections between keywords and on the relationships between researcher bodies.

Publication Trends in Osteoporosis Treatment: A 20-Year Bibliometric Analysis.

Osteoporosis prevalence continues to escalate with the growth of the older adult population. In this study, we aimed to investigate the profile of osteoporosis treatment-related research articles published in the past 20 years using bibliometric analysis. We analyzed all osteoporosis treatment-related articles published between 2001 and 2020 in the Web of Science (WoS) database using bibliometric methods. In the Title search section in WoS, we searched the documents using "osteoporosis treatment"-related keywords. We used the VOSviewer software to construct the bibliometric maps of keyword co-occurrences. Our search yielded 29,738 publications, 21,556 (72.5%) were original articles and 4,529 (15.2%) were review articles and review articles (4,529). We noticed a steady increase in the publication numbers from 2001 to 2020. The overall scientific publication number in WoS increased 3.5-fold, with the five most productive countries being the USA, China, Germany, the United Kingdom, and Japan. The largest contributor was the University of California system. The most productive journals were Osteoporosis International (1,679, 6.4%), Bone (832, 3.2%), and the Journal of Bone and Mineral Research (727, 2.8%). We observed increasing trends in the appearance of denosumab and teriparatide during the last two decades. In our keyword co-occurrence analysis, we constructed four keyword clusters using VOSviewer. In this study, we provided a gross overview of the visibility and productivity of research studies in osteoporosis treatment. Substantial changes have occurred in osteoporosis treatment over the last 20 years. The effector mechanism of anti-osteoporosis medications could be future hot spots in osteoporosis research. We believe that our study is a valuable guide for clinicians related to the global outputs of osteoporosis treatment.

A Bibliometric Analysis of Equity Financing in Small and Medium Sized Enterprise: Trends, Patterns, and Future Directions

Using bibliometric analysis, the purpose of this study is to conduct a review of previous scholarly work in business economics pertaining to entrepreneurial equity financing that has been completed throughout the past three decades (1987–2023). To accomplish this, 133 documents related to this subject were taken from the Scopus database and arranged in accordance with the following criteria: the number of publications per year, the articles with the most citations, the authors with the most renown, the journals with the highest citation rate per article, and the countries with the highest overall productivity. In addition, our research provides clusters determined by the co-occurrence analysis of keywords to determine the primary topics that were looked into. Our findings can be used to understand entrepreneurial equity finance better and pinpoint potentially fruitful study areas for further investigation in the near and distant future.

Global research status and trends of enteric glia: a bibliometric analysis

BackgroundEnteric glia are essential components of the enteric nervous system. Previously believed to have a passive structural function, mounting evidence now suggests that these cells are indispensable for maintaining gastrointestinal homeostasis and exert pivotal influences on both wellbeing and pathological conditions. This study aimed to investigate the global status, research hotspots, and future directions of enteric glia.MethodsThe literature on enteric glia research was acquired from the Web of Science Core Collection. VOSviewer software (v1.6.19) was employed to visually represent co-operation networks among countries, institutions, and authors. The co-occurrence analysis of keywords and co-citation analysis of references were conducted using CiteSpace (v6.1.R6). Simultaneously, cluster analysis and burst detection of keywords and references were performed.ResultsA total of 514 publications from 36 countries were reviewed. The United States was identified as the most influential country. The top-ranked institutions were University of Nantes and Michigan State University. Michel Neunlist was the most cited author. “Purinergic signaling” was the largest co-cited reference cluster, while “enteric glial cells (EGCs)” was the cluster with the highest number of co-occurring keywords. As the keyword with the highest burst strength, Crohns disease was a hot topic in the early research on enteric glia. The burst detection of keywords revealed that inflammation, intestinal motility, and gut microbiota may be the research frontiers.ConclusionThis study provides a comprehensive bibliometric analysis of enteric glia research. EGCs have emerged as a crucial link between neurons and immune cells, attracting significant research attention in neurogastroenterology. Their fundamental and translational studies on inflammation, intestinal motility, and gut microbiota may promote the treatment of some gastrointestinal and parenteral disorders.

Application and prospect of BSA method based on bibliometrics in crop breeding.

In order to understand the progress and frontier in the application of BSA(bulked segregant analysis) method in crop breeding and to reflect objectively the contribution of different countries, institutions and researchers in this field at home and abroad, this study analyzed 2111 items in the WOS (Web of Science) database from 2000 to 2023 and 446 items in the CNKI (China National through Knowledge Infrastructure) database from 2003 to 2023, regarding the researches of the application of BSA in crop breeding, basing on bibliometric analysis methods using CiteSpace software including keyword co-occurrence analysis, highlight word analysis, keyword clustering analysis, clustering timeline analysis and author co-citation. The results showed that there was an consistent increasing trend in the publication number of the application of BSA in crop breeding both in the domestic and foreign journals year by year. Ranking of the top countries according to the number of publications was China, the United States and India. The Huazhong Agricultural University displayed the highest number of publications in the CNKI database, while the Chinese Academy of Agricultural Sciences was found to have the highest number of publications in the WOS database. The published articles related to the application of BSA in crop breeding abroad mainly focused on the disciplines such as plant science, agronomy, horticulture and genetics, while those in China mainly concentrated on such disciplines as plant science, plant protection, horticulture and biology. The top three authors in terms of influence in the field of appling BSA in crop breeding were Michelmore RW, Kosambi DD and Li H, while Michelmore RW, Lander ES and Li H had closer cooperations with other authors. The top three crops relating to the studies of BSA were rice(Oryza sativa), soybean(Glycine max), corn(Zea mays L.) with the hot spot traits of disease resistance and plant height domestically. The top three crops involving the studies of BSA were rice, Arabidopsis thaliana and wheat(Triticum aestivum L.) with hot spot traits of disease resistance abroad. Up to now, BSA was mainly used to localize and functionally verify the candidate genes linking target traits and the mutated genes in crops in the domestical documents, while the foreign published studies based on BSA were mainly focused on the fine mapping and functional verification of target trait genes aiming at the revelation of genetic mechanisms in crops. Research frontier analysis indicated that rice, peanuts(Arachis hypogaea L.), upland cotton(Gossypium hirsutum L.) would be the main objects of studies concerning application of BSA in crop breeding with the hot topics of crop mutants and crop metabolites in the future.

Investigating Research Hotspots of Combat-related Spinal Injuries: A 30-year Bibliometric Analysis Study.

Spinal cord injuries often lead to significant motor and sensory deficits, as well as autonomic dysfunction. Compared with normal spinal injuries, combat-related spinal injuries (CRSIs) are usually more complex and challenging to treat because of multiple traumas, firing-line treatments, and arduous initial treatments on a battlefield. Yet numerous issues remain unresolved about clinical treatment and scientific research. The enhancement of CRSI diagnosis and treatment quality by military surgeons and nurses is imperative. The objective of this study is to identify the frontiers, hotspots, and trends among recent research, summarize the development process of clinical trials, and visualize them systematically. We collected publications from CRSI based on the Core Collection of Web of Science for 30 years from January 1, 1993 to May 1, 2023.Visualizations of the knowledge maps were produced using VOSviewer and CiteSpace software. We examined annual trends of publications and distribution patterns, the number of publications, as well as the research hotspots. Among 201 documents, it was found that there was a stable upward trend in publications. There were 2 rapid growth stages during the 30 years. Among all countries, the USA contributed the most publications, along with the highest influence and the most international cooperation. Military Medicine was the journal of the maximum publications, whereas the Spine journal was the most influential one. Keyword co-occurrence analysis and trend topics analysis revealed that these articles focused 5 distinct categories for CRSI. As the first bibliometric study focused on CRSI, we demonstrated the evolution of the field and provided future research directions. We summarized the hotspots and 5 clusters published. This would serve as a useful guide for clinicians and scientists regarding CRSI global impacts.