Research Trends Research Articles

Navigating the landscape of e-commerce: thematic clusters, intellectual turning points, and burst patterns in online reputation management

AbstractRecognizing the challenges identified in the vast literature exploring the intellectual landscape of Online Reputation Management (ORM) in the realm of e-commerce, this study performs a quantitative bibliometric analysis, specifically a co-citation analysis using CiteSpace software, to find thematic clusters in a sample of 1136 papers containing 48,385 cited references. This is the first co-citation analysis of ORM literature that cluster the intellectual structure and identifies both the intellectual turning points and burst papers. The results reveal 14 distinct co-citation clusters, each representing a unique thematic structure. An in-depth analysis further characterizes the clusters, ranging from the impact of online reputation on the hospitality industry to frameworks explaining trust formation in e-commerce. Additionally, the study identifies intellectual turning points by assessing betweenness centrality, highlighting four seminal papers that have strongly influenced the field. Furthermore, burst detection analysis uncovers the temporal dynamics of research trends, showcasing the enduring influence of certain clusters and the transient nature of burst patterns. The novelty and importance of the results from the detailed burst detection analysis lie in identifying a significant evolution in research focus over time. Initially, research was concentrated on foundational studies and understanding customer behavior. It then shifted towards practical applications in specific industries, particularly in hospitality and online reviews. In recent years, the emphasis has been on integrating ORM into broader business strategies, especially within e-commerce and the collaborative economy. This research not only contributes to a deeper understanding of ORM, but also serves as a valuable guide for researchers, practitioners, and policymakers in the evolving landscape of online reputation in e-commerce.

Bibliometric Analysis of Research on Factors Affecting Service Quality and Physician Performance

ABSTRACT The advent of digitalization in the healthcare sector has significantly underscored the importance of Electronic Medical Records (EMR) in primary health services. EMRs serve as a critical tool for storing, accessing, and analyzing patient data efficiently and accurately, which is essential for enhancing the quality of healthcare services. This study aims to conduct a comprehensive bibliometric analysis to identify and understand the various factors affecting the performance and completeness of EMRs in primary health services. Utilizing the Publish or Perish application and relevant keywords such as "Quality of service," "performance," "doctors," "factors," "facilities and infrastructure," "income," "competence," and "communication," a thorough examination of literature from Google Scholar was performed. The analysis focused on fifty top-ranked journals published between 2018 and 2024, classified by publication year, type, citation count, and researcher country. VOSviewer was employed to execute a detailed bibliometric analysis, using occurrence parameters of 4 and term parameters of 16. The findings revealed significant research trends, influential factors, and essential clusters related to the performance and completeness of EMRs. Key insights include that India, Indonesia, and Nigeria are at the forefront of research output in this field, with substantial contributions from prominent publishers such as Springer and Emerald. Critical factors identified include the competence of healthcare providers, the quality of patient care, and effective communication skills. This in-depth analysis offers valuable insights for researchers, practitioners, and policymakers, providing a foundation for optimizing EMR utilization and improving primary healthcare services. Future research should delve into less-explored areas, such as communication skills and patient experiences, to further enhance the effectiveness of EMRs in primary health services. Keywords: EMR, Performance, Healthcare Quality, Bibliometric Analysis, Primary Health Services

Multiphysical field and multiobjective mathematical modeling of grain-oilseed storage: Current status and future trends.

Storage is an important process involved in the postharvest treatment of grain-oilseed and is necessary for maintaining high quality and ensuring the long-term supply of these commodities in the food industry. Proper storage practices help prevent spoilage, maintain nutritional value, and preserve marketable quality. It is of great interest for storage to investigate flow, heat and mass transfer processes, and quality change for optimizing the operation parameters and ensuring the quality of grain-oilseed. This review discusses the mathematical models developed and applied to describe the physical field, biological field, and quality change during the storage of grain-oilseed. The advantages, drawbacks, and industrial relevance of the existing mathematical models were also critically evaluated, and an organic system was constructed by correlating them. Finally, the future research trends of the mathematical models toward the development of multifield coupling models based on biological fields to control quality were presented to provide a reference for further directions on the application of numerical simulations in this area. Meanwhile, artificial intelligence (AI) can greatly enhance our understanding of the coupling relationships within grain-oilseed storage. AI's strengths in both qualitative and quantitative analysis, as well as its effectiveness, make it an invaluable tool for this purpose.

Economic limitation of recent heterogeneous catalysts for ammonia synthesis

The economic performance of newly developed catalysts for ammonia synthesis, Ru/Ca(NH2)2 and Ru/Pr2O3, are evaluated by process simulation using Aspen Plus©. The results show that the high activity of the new catalysts reduces the electricity cost for pressurizing reactant gases; however, the electricity for lowering the temperature in ammonia separation through liquefaction is significant due to the mitigated pressure and almost compensates for the decreased cost. The results show an economic limitation to current research trends that develop a catalyst for ammonia synthesis under low pressure. It is noted that catalyst costs are high due to expensive ruthenium; thus, the lifetime of catalysts significantly influences the total cost. With the assumption of a long lifetime of catalysts, the new catalysts are advantageous when the electricity cost is high, the characteristics of the case in which renewable energy is employed. As the future direction of the catalyst development, recycling or extending the lifetime of the catalysts and replacing Ru with cheap metal will be crucial from the economic viewpoint. Moreover, effective methods for ammonia collection, such as adsorbents, should be focused on reducing the electricity of ammonia liquefaction in cooling separation and giving a vital meaning to the condition mitigated by the newly developed catalysts.

Analysis of clinical study registration characteristics of traditional medicine for the treatment of type 2 diabetes mellitus based on the International Clinical Trials Registry Platform

Objective: To analyze clinical trials of traditional medicine (including Chinese herbal medicine and nonpharmacological therapies) for the treatment of type 2 diabetes mellitus (T2DM) registered in the International Clinical Trials Registry Platform (ICTRP), and accordingly to explore their clinical trial registration characteristics, development trend and intervention status, in an attempt to provide references for future research design, diagnosis and management of traditional Chinese medicine therapy for T2DM. Methods: The clinical trials related to Chinese herbal medicine and nonpharmacological therapies for treating T2DM were retrieved on the ICTRP online from the time of database construction to August 13, 2023, to analyze the time of registration, country and institution of the study, source of funding, type and design of the study, randomization and blinding methods, clinical staging, therapeutic measures, and main therapeutic effect indexes. Descriptive statistical analysis was performed using R4.3.0 and Excel software. Results: A total of 774 clinical trials for T2DM treatment were included, of which 127 were traditional herbal therapies and 647 were nonpharmacological therapies. The T2DM clinical trial registration institutions were distributed in 50 countries worldwide involving 15 clinical registration platforms, with the most registrations in Iran, China, and Australia, and the top 3 registration platforms were the Iranian Clinical Trial Registry, the Australian New Zealand Clinical Trials Registry, and the ICTRP. Universities (551, 71.19%) were the main funding sources. Intervention studies (750, 96.90%) were the primary study type, including randomized controlled trials (432, 56. 4%), and 225 studies mentioned the blinding method. A total of 530 (68.48%) with a sample size ≤100 were included. Study phases were predominantly phase 2 and phase 3 (108, 51.43%). The interventions of traditional medicine for T2DM were composed of Chinese herbal medicines (mainly ginseng and astragalus compound), nonpharmacological therapies (mainly exercise and diet therapies), and 2 or more comprehensive treatment regimes. According to the type of study design, the first 3 main therapeutic indexes were fasting blood glucose (286 times), glycated hemoglobin (282 times), and insulin resistance (120 times), and the top 3 secondary therapeutic indexes were body mass index (179 times), fasting blood glucose (175 times), and glycated hemoglobin (134 times). Conclusion: The study dissects the current status and trend of registration of clinical trials on traditional medicine for T2DM treatment. The number of trial registrations is on the rise year by year, and there are obvious geographical differences in the countries and platforms of registration. The trial design is mainly randomized controlled blind trials with a sample size of <100, and the main interventions are nonpharmacological therapies. Correct and standardized registration of clinical trials and timely reporting of study results are greatly important to facilitate the implementation of clinical trials, reduce publication bias, provide high-level diagnostic and therapeutic bases for clinical practice guidelines, and develop effective treatment strategies. This study is expected to help other scholars, health care professionals, patients, and the public to understand the latest research trends and hotspots in this field and provide certain references and inspirations for the future research design and clinical practice of traditional Chinese medicine in the treatment of T2DM.

Bibliometric Analysis of Research Trends on Filtration and Quality of Waste Liquid in Hospitals

ABSTRACT This study aims to conduct a bibliometric analysis of research trends regarding filtration and liquid waste quality in hospitals from 2018 to 2024. Using the Google Scholar database and bibliometric analysis applications such as VOSviewer, this study identified and analyzed relevant publications with the keywords filtration, effluent, hospital, COD, BOD, and Liquid Waste Quality. The data obtained was processed with occurrence 4 and term 20 parameters to identify the main patterns and trends in the literature. The analysis results show that the number of publications has increased significantly from year to year, with peaks in 2021 and 2022. The distribution of publication types shows the dominance of research articles with 42 out of 50 publications, followed by literature reviews (3) and conference articles (4). Analysis based on country of publication revealed the dominance of Indonesia with 23 publications, followed by India and several other countries with smaller contributions. Cluster analysis based on network visualization identified four main clusters: (1) effluent quality parameters such as BOD and COD; (2) hospital effluent management; (3) effluent treatment and management; and (4) effluent quality characterization and assessment.The results of density visualization showed a high concentration of quality parameters and treatment technologies, while overlay visualization revealed a close relationship between quality parameters and effluent management. The conclusions of this study highlight the major focus on technical parameters of effluent quality and treatment technology, as well as the importance of integration between effluent management and quality evaluation in research. The findings offer valuable insights for further research and development of innovative solutions in effluent management in hospitals. Keywords: Bibliometrics, Filtration, Effluent Quality, Hospital, Network Analysis

Factors Affecting Health Service Utilization for Chronic Conditions: A Bibliometric Review of Primary Health Care

ABSTRACT Non-communicable diseases (NCDs) such as heart disease, diabetes and cancer are significant global health challenges, particularly in developing countries. Understanding healthcare utilization for NCDs is critical to improving healthcare outcomes and patient quality of life. This study aims to analyze trends and identify research gaps in healthcare utilization for NCDs through bibliometric analysis. With this approach, this study seeks to provide a comprehensive overview of research developments in this field and identify areas that require further attention. This study used bibliometric analysis with the Publish or Perish app and a Google Scholar search using the keywords "factors," "influences," "health service utilization," "non-communicable diseases," and "basic health services." From the search results, the top 50 journals from 2017 to 2024 were selected for analysis. The data were classified by year of publication, journal type, number of citations, and researcher country, and analyzed using VOSviewer to identify research patterns and gaps. The analysis showed that research was concentrated in highly ranked journals and developed countries, with key terms such as "non-communicable disease," "factor," "use," and "health." This research identifies gaps in implementation policies, innovative approaches, and healthcare utilization factors that are not yet fully understood. Understanding research trends and gaps can guide future research and policy development efforts to improve the effectiveness of interventions and policies in the management of NCDs globally. Keywords: Non-Communicable Diseases (NCDs), Health Service Utilization, Primary Health Care, Health Influencing Factors

Toward Understanding Research Evolution on Indirect Drivers of Ecosystem Change along the Interface of Protected and Non-Protected Lands

Against a backdrop of rapid environmental degradation and increasing pressures on natural resources, a broad list of innovations has emerged to support the vision of the post-2020 Kunming-Montreal Global Biodiversity Framework and strengthen regional and country-level biodiversity strategies along the interface of protected areas and non-protected lands. The success of these strategies depends in large part on science-informed consideration and approaches to the underlying and indirect drivers of change for natural systems and ecosystem services. This paper aims to inform future strategies and action plans for conservation efforts and sustainable practices globally and regionally, with a specific focus on Latin America’s environmental challenges. Bibliometric analysis, covering two decades from 2003 to 2023, focused on global and Latin American research trends related to the indirect drivers of change for natural systems and ecosystem services at the interface of protected and non-protected lands. Through structured analysis, key opportunities for increased collaboration, impact, and research focus are identified, highlighting the need to expand research collaboration strategies and reach, enhance research dissemination through open and equitable innovations, and strengthen capacity to the complex and interrelated challenges underlying accelerated change in natural systems, which affects biodiversity and ecosystem services.

Bio-inspired classification and evolution of multirotor Micro Aerial Vehicles (MAVs): A comprehensive review

Multirotor Micro Aerial Vehicles (MAVs) have become essential in many applications like surveillance, disaster management, and aerial inspection. The diverse demands of these applications have led to numerous design innovations, growing the MAV landscape substantially. However, such growth has made it challenging to understand the evolution and classification of MAV designs based on their functions and features. We address this challenge by introducing a novel, bio-inspired taxonomic classification framework for MAVs (Fig. 1). Our framework spans six hierarchical ranks, each containing a diverse set of categories that classify MAVs from distinct design perspectives. It enables a proper comparison of the MAV designs in the literature, revealing their key similarities and differences. It also helps to trace the evolution of MAVs over time, identifying research trends and potential gaps. Lastly, it offers insights into future MAV design trajectories, providing a complete and clear understanding of the MAV design landscape.

Insights of learning approach towards determination of potentially objectional communication in social networking

<p><span lang="EN-US">Over the last decade, sentiment analysis has evolved significantly towards extracting the contextual knowledge associated with the communication exchanged in social networks. Irrespective of various approaches to natural language processing and constantly evolving machine learning, sentiment analysis has inherent shortcomings, which further act as an obstacle to determining hateful and offensive speech exchanged in social networks. Therefore, this paper offers a compact yet granular insight into the effectiveness of existing sentiment analysis approaches used distinctly for determining hateful and offensive speech with particular emphasis on machine learning-based methodologies. The paper further contributes towards research trend analysis followed by distinct highlights of the research gap. The paper offers a learning outcome that significantly benefits future researchers investigating the same field.</span></p>

Bibliometric analysis of skeletal muscle ischemia/reperfusion (I/R) research from 1986 to 2022

IntroductionTissue damage due to ischemia and reperfusion is a critical medical problem worldwide. Studies in this field have made remarkable advances in understanding the pathogenesis of ischemia/reperfusion (I/R) injury and its treatment with new and known drugs. However, no bibliometric analysis exists in this area of research. MethodsResearch articles and reviews related to skeletal muscle I/R from 1986 to 2022 were retrieved from the Web of Science Core Collection. Bibliometric analysis was performed using Microsoft Excel 2019, VOSviewer (version 1.6.19), Bibliometrix (R-Tool for R-Studio), and CiteSpace (version 6.1.R5). ResultsA total of 3682 research articles and reviews from 2846 institutions in 83 countries were considered in this study. Most studies were conducted in the USA. Hobson RW (UMDNJ-New Jersey Medical School) had the highest publication, and Korthuis RJ (Louisiana State University) had the highest co-citations. Our analysis showed that, though the Journal of Surgical Research was most favored, the Journal of Biological Chemistry had the highest number of co-citations. The pathophysiology, interventions, and molecular mechanisms of skeletal muscle I/R injury emerged as the primary research areas, with “apoptosis,” “signaling pathway,” and “oxidative stress” as the main keywords of research hotspots. ConclusionsThis study provides a thorough overview of research trends and focal points in skeletal muscle I/R injury by applying bibliometric and visualization techniques. The insights gained from our findings offer a profound understanding of the evolving landscape of skeletal muscle I/R injury research, thereby functioning as a valuable reference and roadmap for future investigations.

A visualized and bibliometric analysis of cancer vocational rehabilitation research using CiteSpace

BACKGROUND: There are numerous publications on cancer vocational rehabilitation, visual techniques can help medical researchers and social workers be more familiar with the state of this field. OBJECTIVE: To summarize cancer vocational rehabilitation research, we applied visualized and bibliometric analysis to enable medical workers and social workers to identify evolving patterns of knowledge among articles and research trends, understand the current research status of vocational rehabilitation of cancer, and carry out further research on hot topics. METHODS: Based on a review of 933 papers on cancer vocational rehabilitation published in the Web of Science Core Collection, this study used Citespace software to systematically and objectively describe cancer vocational rehabilitation. RESULTS: Since 2003, the field of cancer vocational rehabilitation began to sprout. The most published and most cited country, institution, author and cited journal were the United States, University of Amsterdam, Angela G. E. M. de Boer, and Psycho-Oncology, respectively. The three most frequently cited keywords were breast cancer, quality of life and cancer survivor. The three keywords with the largest spike in citations were cohort, absence and symptom. Conducting randomized controlled trials or prospective cohort studies to help cancer survivors return to work, and using qualitative methods to understand the vocational rehabilitation experiences or perceptions of cancer survivors or medical staff are hotspots in this field. CONCLUSIONS: Cancer vocational rehabilitation has attracted the attention of researchers all over the world. Future studies may focus on other cancer types and explore more high quality interventions.

Trends in Emotional Labor Research: Bibliometric and Science Mapping Analysis

Emotional labor is about employees in the service sector involving their emotions while performing the service job as required. Emotions are also used for commercial purposes. The study analyzes data on emotional labor through bibliometric and science mapping methods. For the analyses, data between 1982 and 2024 are scanned in the Web of Science (WoS) database, and data for 2,925 documents are accessed. After loading the data, the VOSviewer program is utilized to analyze it for bibliometric and science mapping purposes. Subsequently, the investigation unveiles the foremost authors, countries, journals, institutions, and keywords in emotional labor research. This is followed by analyzing their co-authorship, co-citation, bibliographic coupling, and keyword co-occurrence models. As a result, in emotional labor research, it is found that Alicia A. Grandey is the most productive and most cited author, the USA is the most productive country, Frontiers in Psychology is the most productive journal, and the most frequently encountered keywords are burnout, surface acting, job satisfaction, deep acting, and emotional exhaustion, respectively. The analysis findings reveal a collaborative nexus among authors, countries, and institutions, offering visual network maps and comprehensive insights into emotional labor's present status and trends within the scientific literature.

Exploring Trends in Work-Family Conflict and Gender Research with a Bibliometric Approach

Work-family conflict (WFC) is a role conflict where there are pressures from work that conflict with role pressures in the family. The different roles in the family, which in this case is called gender, creates its own conflict for workers. The relationship between WFC and gender is an interesting topic to research considering the shift in roles between men and women today due to economic demands. This study aims to analyze how the development of WFC and gender research from publications in Scopus. WFC and gender research data were obtained through Scopus database and analyzed descriptively using excel. VOSViewer was also used in the research to see the publication trend with the topic of WFC and gender. The results of research related to work family conflict published based on the Scopus database found as many as 1,932 documents. The analysis shows that research related to WFC and gender keywords has increased every year, where America, Europe and Australia are still the regions with the most WFC and gender research. Most publications related to WFC and gender are in the form of articles that are published in journals with the subject area of social science and gender studies. The keywords between WFC and gender in visualization with VOSViewer show that gender and human are the keywords that appear most often.

A Bibliometric Review of the Trends of Construction Digitalization Research in the Past Ten Years

The adoption of digital technologies into construction practices has become a critical area of interest, particularly in addressing challenges related to efficiency, quality, and sustainability. This study focuses on the impacts of digital technologies such as building information modeling (BIM), automation, and blockchain on the construction industry. An in-depth bibliometric analysis of the literature from 2013 to 2023 was conducted using data from the Elsevier Scopus database. Employing the key terms “Construction” and “Digitalization” in the Scopus database ensured that this research systematically identified and examined relevant articles related to digital technologies in construction. Advanced tools like the VOS viewer were used to analyze bibliometric networks, providing insights into current research trends within the built environment sector. The findings strongly focused on digital modeling, automation, and blockchain technologies. The findings also revealed new paradigms such as smart contracts and modular construction. This investigation enhances the academic discourse by elucidating the various nuances, ongoing developments, and future directions in the evolving field of construction digitalization research.

지식 그래프를 활용한 중국 무용치료 연구동향 분석

Dance therapy, as a therapeutic method that integrates psychology and creative arts, which has attracted increasing attention from all walks of life. In order to help scholars from all over the world grasp the development context and trends of dance therapy research in China, this research analyzes the relevant literature on dance therapy in the China National Knowledge Infrastructure(CNKI) database, revealing the research trends of dance therapy theme in the past 30 years, which can give data support for related research and provide theoretical basis for scholars around all over the world, and promote international academic exchanges and cooperation. Through the knowledge graph analysis method, the high-frequency words and high centrality words of 402 literature were explored and analyzed, and the knowledge network graph of dance therapy was presented from five aspects. It was found that, the research of dance therapy topics has gradually evolved in three stages in the past 30 years in China. On the whole, early research mainly focused on the role of dance in rehabilitation treatment, and mainly focused on the treatment of elderly. In recent years, with the focus on dance therapy and in-depth practice, emerging research topics involve the treatment of ‘depression’, ‘anxiety’, ‘stroke’, etc., which more pay attention to students, autistic children, and other groups. It shows that, with the increasing in research and attention on the field of dance therapy in China, the research not only focuses on dance therapy, but also involves many related fields, such as psychotherapy and self-acceptance in different groups, which shows that keeps expanding the research's progress and application of dance therapy in China. However, it also reflects the problems of incomplete operation system and insufficient academic-industrial linkage in Chinese dance therapy. This study is expected to provide implications for the direction of development of Chinese dance therapy to scholars around the world, including Korea.

Sex Education For Elementary School Children In Indonesia; Bibliometric Analysis In 2021-2024

This study provides an overview of the analysis of sex education trends in elementary school children in Indonesia for the 2021-2024 period using bibliometric analysis, aiming to identify research gaps that have not been widely studied and provide recommendations for further research. The method used is systematic literature review by utilizing Vosviewer as a meta-data analysis tool. Data was obtained from a POP search on Google Scholar 2021-2024 with the keyword "sex education for elementary school children", resulting in 107 articles that were then selected. The selection was carried out based on relevant themes, leaving 40 selected articles that fit the Sinta category and the highest ranking. The results of the study show that the trend of sex education research in elementary school age children has great potential to increase children's understanding of reproductive health and healthy social relations, and there is also an increase in research on this topic every year. This study recommends further research to develop an effective and applicable sex education learning model in learning activities in elementary schools.

중국 학술지에 게재된 웰니스관광에 대한 연구 동향

Purpose: This study analyzes trends in wellness tourism research published in Chinese academic databases from 2016 to December 2023, aiming to understand the development of wellness tourism in China and to provide insights for research in both South Korea and China. Methods: To conduct this study, 295 papers related to wellness tourism were classified and analyzed by publication year, research area, research method, research topic, and keywords. Results: The research region included 102 papers from the western region (34.58%), 52 from the central region (17.63%), 47 from the eastern region (15.93%), and 19 from the northeastern region (6.44%). The research methods comprised 190 qualitative studies (64.41%), 56 quantitative studies (24.07%), and 49 mixed-method studies (11.53%). The research topics were the development/improvement of wellness tourism 110 papers(37.29%), resources/marketing 59 papers(20%), general topics 54 papers(18.31%), behavior/demand 33 papers(11.19%), economy 30 papers(10.17%), and professionals 9 papers(3.05%). The most frequent keywords were “forest” 69 times(39.3%), “industry convergence” 22 times(12.6%), and “rural revitalization” 11 times(6.3%). Conclusion: Research on wellness tourism in China has been actively conducted in the western region, with many qualitative studies, and a significant number of topics related to the develop ment and improvement of wellness tourism. In terms of publication years, research related to the eastern region has shown a rebound trend, and there has been an increasing trend in topics concerning the development/improvement of wellness tourism and the behavior/needs of wellness tourists. A significant number of keywords related to forests have been observed.

Big data analysis of endovascular treatment for acute ischemic stroke: a study based on bibliometric analysis.

While bibliometric analyses are prevalent in the medical field, few have focused on ther endovascular treatment for acute ischemic stroke (AIS). To employ big data analysis to examine the research status, trends, and hotspots in endovascular treatment for AIS. We conducted a comprehensive search using the Web of Science (WOS) database to identify relevant articles on the endovascular treatment for AIS from 1980 to the present. We used various tools for data analysis, including an online platform (https://bibliometric.com/app), the Citespace software, the Vosviewer software, and the ArcMap software, version 10.8. A number of bibliometric indicators were collected and analyzed, such as publication date, country where the studies were conducted, institutions to which the authors were affiliated, authors, high-frequency keywords, cooperative relationship etc. RESULTS: A total of 5,576 articles were retrieved. A substantial increase in the number of articles occurred after 2010. High-frequency keywords included terms such as large vessel occlusion, reperfusion, outcome, and basilar artery occlusion. Among the top 10 most productive authors, Raul G. Nogueira ranked first, with 136 published articles. Among the journals, The New England Journal of Medicine ranked first, with 5,631 citations. The United States has the closest collaborative ties with other nations. In the present study, we found that the reports of endovascular treatment for AIS gradually increased after 2010. Among them, Raul G. Nogueira was the most productive author in this field. The New England Journal of Medicine was the most cited, and it had the greatest impact. The Multicenter Randomized Clinical Trial of Endovascular Treatment of Acute Ischemic Stroke in the Netherlands (MR CLEAN) trial study was the most cited, and it was a landmark study. There are many interesting studies on endovascular treatment for AIS, such as ischemic penumbra, collateral circulation, bridging therapy etc.

A Bibliometric Analysis of The Production-Oriented Approach in College English in China from 2015 to 2024

This paper studies the temporal distribution, author collaboration, research hotspots, theme clustering, and research changes and trends based on 516 CNKI literature in the field of Production-Oriented Approach (POA) for college English in China from 2015 to 2024. It reveals that research on the Production-Oriented Approach for College English in China from 2015 to 2024 can be divided into the Initial Fast Exploration Stage (2015–2017), Fast Development Stage (2018–2021), and Sustainable Development Stage (2022–2024). High-frequency keywords such as college English teaching, college English writing, blended teaching, teaching assessment, etc. are hotspots for current scholars' attention. The themes of research on the POA of college English in China mainly include teaching practice and application of the Production-Oriented Approach, exploration of the Production-Oriented Approach teaching model and design, and teaching assessment of the POA. “Teaching Reform,” “Blended Teaching," and “Teacher-Student Collaborative Assessment” are the current research frontier issues in the development of a Production-Oriented Approach for college English in China. Overall, the POA represents a significant advancement in China's college English teaching field. Its emphasis on integrating language learning with practical application and whole-person education addresses many of the shortcomings of traditional college English language teaching. To improve teaching development in the reform of POA for college English and to better prepare Chinese students for international communication, future research should prioritize themes such as investigating how digital tools and online platforms in education can enhance the implementation of POA and innovative approaches to teacher education that align with POA principles.