Analysis Of Collaboration Networks Research Articles

Bibliometric insights into research hotspots and trends in obesity and asthma from 2013 to 2023.

Obesity and asthma are closely linked, but the current state of research on this topic and future research directions have yet to be comprehensively explored. This study aims to provide an up-to-date overview of the research landscape in the field of obesity and asthma. A bibliometric analysis was conducted using the Web of Science Core Collection database to identify papers published on obesity and asthma between 2013 and 2023. VOSviewer software was utilized for statistical analysis and visualization of collaborative networks, research trends, literature sources, citation analysis, co-citation analysis, and keyword analysis. A total of 3406 records from 1010 journals authored by 17347 researchers affiliated with 4573 institutes across 117 countries and regions were retrieved. The number of publications and citations increased annually. The United States and China contributed the majority of records. Major nodes in the collaboration network map included Harvard Medical School, Johns Hopkins University, University of Newcastle, Karolinska Institution, University of Toronto, and Seoul National University. Prolific authors included Anne E. Dixon, Erick Forno, Lisa G. Wood, Deepa Rastogi, and Fernando Holguin. Research trends and hotspots focused on metabolism studies, Mendelian randomization, gut microbiome, inflammation response, gene, biomarker research, and comorbidities were identified as potential future research frontiers. This study provides a comprehensive overview of the current research status and trends in the field of obesity and asthma. Our findings highlight the importance of understanding collaboration patterns, research hotspots, and emerging frontiers to guide future research in this area.

Multilateral collaborative governance of Arctic shipping safety: Examining the impact of the Arctic Council via collaborative network analysis

Global climate change has dramatically reduced Arctic sea ice, opening new potential shipping routes, which has garnered international attention. This study explores the role of the Arctic Council in the collaborative governance network focused on Arctic shipping safety. For this purpose, a collection of 49 collaborative events initiated by international organisations and the Arctic Council was used as the data sample. These events are divided into two groups, one containing all the events and the other excluding those initiated by the Arctic Council. As a result, two collaborative networks are developed and evaluated based on network density, average path length, network transitivity, centrality indices (degree, closeness, betweenness), and clustering analysis. The results demonstrate that the Arctic Council significantly enhances the network density and transitivity of the international collaboration network, and reshapes core-periphery dynamics and cohesive subgroup structures. For instance, under the influence of the Arctic Council, Canada, France, and Japan surpass the United Kingdom in centrality (degree, closeness, betweenness). Results of the clustering coefficients reveal the Arctic Council's impact on connections among states, leading to shifts in collaboration patterns. Additionally, subgroup cohesion and density coefficients confirm the Arctic Council's role in promoting collaboration among states and restructuring governance networks.

Study of obesity research using machine learning methods: A bibliometric and visualization analysis from 2004 to 2023.

Obesity, a multifactorial and complex health condition, has emerged as a significant global public health concern. Integrating machine learning techniques into obesity research offers great promise as an interdisciplinary field, particularly in the screening, diagnosis, and analysis of obesity. Nevertheless, the publications on using machine learning methods in obesity research have not been systematically evaluated. Hence, this study aimed to quantitatively examine, visualize, and analyze the publications concerning the use of machine learning methods in obesity research by means of bibliometrics. The Web of Science core collection was the primary database source for this study, which collected publications on obesity research using machine learning methods over the last 20 years from January 1, 2004, to December 31, 2023. Only articles and reviews that fit the criteria were selected for bibliometric analysis, and in terms of language, only English was accepted. VOSviewer, CiteSpace, and Excel were the primary software utilized. Between 2004 and 2023, the number of publications on obesity research using machine learning methods increased exponentially. Eventually, 3286 publications that met the eligibility criteria were searched. According to the collaborative network analysis, the United States has the greatest volume of publications, indicating a significant influence on this research. coauthor's analysis showed the authoritative one in this field is Leo Breiman. Scientific Reports is the most widely published journal. The most referenced publication is "R: a language and environment for statistical computing." An analysis of keywords shows that deep learning, support vector machines, predictive models, gut microbiota, energy expenditure, and genome are hot topics in this field. Future research directions may include the relationship between obesity and its consequences, such as diabetic retinopathy, as well as the interaction between obesity and epidemiology, such as COVID-19. Utilizing bibliometrics as a research tool and methodology, this study, for the first time, reveals the intrinsic relationship and developmental pattern among obesity research using machine learning methods, which provides academic references for clinicians and researchers in understanding the hotspots and cutting-edge issues as well as the developmental trend in this field to detect patients' obesity problems early and develop personalized treatment plans.

Cultivating a culture of learning: the role of leadership in fostering lifelong development

Purpose Leadership is key to building a culture of continuous learning within organizations. This study aims to explore the pivotal role of leadership in creating a culture of constant learning within organizations by bibliometric and content analysis. It also introduces propositions and frameworks that emphasize the importance of fostering a growth mindset, encouraging knowledge sharing, promoting learning agility and leveraging technology to support lifelong development. Design/methodology/approach Using data from the Web of Science Core Collection, the author performed a complete analysis of publication features, collaboration networks and keywords in the field using VOSviewer software. Furthermore, drawing on social cognitive theory, this paper also presents propositions that integrate key concepts and strategies for fostering a culture of learning. Findings The data shows a large increase in publications on leadership and organizational learning, particularly since 2000, indicating an increasing interest and importance in this field. The author proposes leaders who demonstrate a commitment to continuous improvement and invest in learning resources empower their teams to embrace new challenges and explore innovative solutions. By fostering a culture of learning, organizations can enhance employee engagement, foster creativity and innovation and adapt more effectively to changing market dynamics. Originality/value This study offers a unique perspective on the role of leadership in driving learning and development initiatives. By implementing the principles, organizations can create a competitive advantage by cultivating a workforce that is agile, resilient and equipped to thrive in an ever-changing world.

Factors influencing the research impact in cancer research: a collaboration and knowledge network analysis

BackgroundCancer is a major public health challenge globally. However, little is known about the evolution patterns of cancer research communities and the influencing factors of their research capacity and impact, which is affected not only by the social networks established through research collaboration but also by the knowledge networks in which the research projects are embedded.MethodsThe focus of this study was narrowed to a specific topic – 'synthetic lethality’ – in cancer research. This field has seen vibrant growth and multidisciplinary collaboration in the past decade. Multi-level collaboration and knowledge networks were established and analysed on the basis of bibliometric data from ‘synthetic lethality’-related cancer research papers. Negative binomial regression analysis was further applied to explore how node attributes within these networks, along with other potential factors, affected paper citations, which are widely accepted as proxies for assessing research capacity and impact.ResultsOur study revealed that the synthetic lethality-based cancer research field is characterized by a knowledge network with high integration, alongside a collaboration network exhibiting some clustering. We found significant correlations between certain factors and citation counts. Specifically, a leading status within the nation-level international collaboration network and industry involvement were both found to be significantly related to higher citations. In the individual-level collaboration networks, lead authors’ degree centrality has an inverted U-shaped relationship with citations, while their structural holes exhibit a positive and significant effect. Within the knowledge network, however, only measures of structural holes have a positive and significant effect on the number of citations.ConclusionsTo enhance cancer research capacity and impact, non-leading countries should take measures to enhance their international collaboration status. For early career researchers, increasing the number of collaborators seems to be more effective. University–industry cooperation should also be encouraged, enhancing the integration of human resources, technology, funding, research platforms and medical resources. Insights gained through this study also provide recommendations to researchers or administrators in designing future research directions from a knowledge network perspective. Focusing on unique issues especially interdisciplinary fields will improve output and influence their research work.

Research hotspots and global trends in transcranial magnetic stimulation for stroke neurorestoration: A 30-year bibliometric analysis

BackgroundStroke patients often experience various functional impairments. Transcranial magnetic stimulation (TMS) has emerged as a novel non-invasive brain stimulation technique, and has gained widespread attention over the past 30 years for its application in stroke. The present study used bibliometric and content analysis methods to explore the research hotspots and future trends of TMS in stroke, with an aim to provide benefits for subsequent research. MethodsPublications and reviews related to TMS in stroke from 1992 to 2022 were retrieved from the Web of Science Core Collection database. Data visualization and analysis were performed using CiteSpace, VOSviewer, and Scimago Graphica. ResultsWe included 1666 papers in the analysis and noted an increasing trend in annual publication volume. Collaboration network analysis revealed close cooperation among scholars from these major countries and institutions. Emerging keywords included TMS, stroke, recovery, rehabilitation, rTMS, plasticity, cortex, excitability, upper limb, and tDCS. Keyword citation bursts appeared to be shifting toward clinical applications, including functional connectivity, systematic reviews, double-blind studies, connectivity, injury, and dysphagia. ConclusionOur study indicates substantial growth in TMS publications and citations in stroke rehabilitation since 2006, suggesting a maturing field that is advancing toward more sophisticated treatment protocols. The increasing relevance of TMS in neurological and rehabilitative applications highlights its potential for promoting post-stroke recovery. Emerging keywords such as brain functional connectivity, systematic reviews, and double-blind studies highlight a shift toward clinical applications. The future of TMS in stroke rehabilitation promises continued growth, interdisciplinary approaches, and improved patient outcomes.

The Contribution of Sustainable Tourism to Economic Development: A Bibliometric Approach

This study employs bibliometric analysis to investigate the expansive field of sustainable tourism, focusing on the thematic evolution, research trends, emerging opportunities, and author collaboration networks from 1990 to 2024. Through a comprehensive review of the literature using VOSviewer, we identified key thematic clusters such as economic impacts, governance structures, social dimensions, and innovative practices in sustainable tourism. The temporal analysis revealed a shift in focus towards innovation and stakeholder perceptions, underscoring the dynamic nature of this research area. Emerging opportunities in the field include integrating advanced technologies and exploring the impact of local policies on sustainable tourism practices. Furthermore, the analysis of author collaboration networks highlighted the importance of scholarly partnerships in advancing the discourse, with prominent researchers playing pivotal roles in bridging various aspects of the field. This study not only maps the existing landscape but also highlights potential pathways for future research, aiming to enhance the efficacy and scope of sustainable tourism.

Mapping Dysphagia Research Trends in Community Dwelling Older Adults: A Bibliometric Analysis.

In recent years, research on dysphagia has gained significant traction as one of the key topics of oral health research pertaining to the aged. Numerous academics have studied dysphagia in great detail and have produced numerous excellent scientific research findings. To review the literature regarding dysphagia in community-dwelling older adults and identify the knowledge and trends using bibliometric methods. The literature on dysphagia in older adults in the community was gathered from the Web of Science Core Collection (WoSCC), with inclusion criteria specifying English-language publications. The retrieval deadline was November 28, 2022. We extracted the following data: title, year, abstract, author, keywords, institution, and cited literature, and used CiteSpace (version 6.1.R3) to visualize the data through the knowledge map, burst keyword analysis, cluster analysis, and collaborative network analysis. A total of 979 articles and reviews were retrieved. Regarding productivity, the top 2 countries were the United States (n =239) and Japan (n =236). Hidetaka Wakabayashi (n =26) was one of the most prolific writers. The first paper in the frequency ranking of references cited was a white paper: European Society for Swallowing Disorders and European Union Geriatric Medicine Society white paper: oropharyngeal dysphagia as a geriatric syndrome (n =53). "Prevalence" (n =173), "risk factor" (n =119), and "aspiration pneumonia" (n =108) were the most frequently occurring keywords (excluding defining nouns). The study identified reliability, tongue pressure, home discharge, and swallowing function as research hotspots from 2020 to 2022. Prevalence, risk factors, and pneumonia are significant areas of study. Tongue pressure and sarcopenia are research hotspots and potential targets. In the future, research on dysphagia needs to refine strategies for prevention and control, as well as provide tertiary preventative services.

Green Marketing and Consumer Environmental Awareness: A Bibliometric Review of Social Education and Campaigns

This study employs bibliometric analysis to explore the expansive landscape of green marketing and consumer environmental awareness research. Utilizing data from VOSviewer, we analyzed thematic clusters, research trends, emerging topics, and author collaboration networks from a comprehensive dataset spanning several decades. Our findings reveal distinct thematic areas, including core marketing strategies, consumer behavior, corporate responsibility, and the critical evaluation of greenwashing practices. A temporal analysis indicates a shift in focus from traditional marketing tactics to nuanced understandings of consumer attitudes and the authenticity of environmental claims. Additionally, we identified potential research opportunities in underexplored areas such as green hotels and green markets, which could provide new insights into sector-specific sustainability practices. The author collaboration network analysis highlights a somewhat segmented academic community with opportunities for more interdisciplinary and integrative research efforts. This study not only charts the evolution and current state of green marketing research but also points to future directions that could bridge existing gaps and foster broader collaborative networks.

Geographical-institutional diversity and heterophily in academic research: a social network analysis of international collaboration, research communities and co-authorship in the public relations discipline

ABSTRACT In recent years, there has been an increased awareness in academic public relations (PR) circles about the need for a more diverse, equitable, and inclusive (DEI) research community that fosters representation of different perspectives and backgrounds. This study aims to expand the concept of DEI within the PR community to a geographical-institutional perspective, exploring its potential benefits and proposing strategies for enhancing geographical-institutional scientific collaborations. Utilizing Social Network Analysis (SNA), the study analyses co-authorship patterns and relationships among PR researchers, communities, and academic institutions to explain the landscape of international academic collaboration over the past decade. The dataset comprises 575 articles on social media-related PR topics from nine prominent PR journals spanning 2010 to 2020. Through a multi-level analysis, including macro, mezzo, and micro perspectives, the study reveals a predominately geographically homophilic landscape. Most coauthored works originate from scholars affiliated with American universities, with minimal representation from geographically remote academic institutions. Theoretical and practical implications of these findings are discussed, highlighting avenues for enhancing geographical-institutional diversity and collaborations within the PR research community.

Bibliometric Analysis of Firm Adaptation Strategies in a Hypercompetitive Environment

This study utilizes bibliometric analysis to map the scholarly landscape of research in hypercompetitive environments and strategic management. Through VOSviewer visualizations, we identified thematic clusters, examined trends over time, analyzed under-researched opportunities, and explored patterns of author collaboration. Our findings reveal a significant shift from foundational theoretical research towards more practical, industry-specific strategies that address dynamic competitive challenges. We identified key thematic areas such as industry dynamics, leadership in hypercompetition, globalization impacts, and sector-specific adaptation strategies. Furthermore, less-explored areas such as opportunity recognition and competitive dynamics offer fruitful avenues for future research. The author collaboration network analysis highlighted both active clusters and potential areas for increased interdisciplinary collaboration, suggesting a maturing yet still siloed research community. This comprehensive overview not only synthesizes existing research but also highlights strategic gaps and opportunities for future scholarly work in the domain of strategic management within hypercompetitive contexts.

Analysis and prediction of the Horizon 2020 R&D&I collaboration network

This study presents a novel link prediction model for the analysis and prediction of collaboration networks in the context of H2020 projects. This model incorporates various databases and expands the list of variables used in the analysis. In this study, the accuracy and interpretability of both generic and nongeneric link prediction algorithms are examined through a comprehensive analysis. Additionally, collaborative groups that exhibit stronger linkages than initially anticipated are examined, and their prevalence across different regions is evaluated. In this study, it was found that the collaboration network within H2020 has significant concentration and fragmentation levels. Moreover, several key factors that strongly influence collaboration, including prior and concurrent project involvement, earned contribution, and the economic and technological characteristics of participating businesses, were identified. This study additionally demonstrated that cooperative communities exhibit geographical concentration in western Europe, whereas nongeneric models offer improved predictive accuracy for identifying relationships. This research contributes to the field of cooperation network analysis and offers guidance to decision-makers on strategies to promote future collaborations in the context of FP.

Gender dynamics and academic rank in emergency medicine collaboration networks: A social network and gender propensity analysis

BackgroundAcademic productivity is bolstered by collaboration, which is in turn related to connectivity between individuals. Gender disparities have been identified in academics in terms of both academic promotion and output. Using gender propensity and network analysis, we aimed to describe patterns of collaboration on publications in emergency medicine (EM), focusing on two Midwest academic departments. MethodsWe identified faculty at two EM departments, their academic rank, and their publications from 2020 to 2022 and gathered information on their co-authors. Using network analysis, gender propensity and standard statistical analyses we assessed the collaboration network for differences between men and women. ResultsSocial network analysis of collaboration in academic emergency medicine showed no difference in the ways that men and women publish together. However, individuals with higher academic rank, regardless of gender, had more importance to the network. Men had a propensity to collaborate with men, and women with women. The rates of gender propensity for men and women fell between the gender ratios of emergency medicine (65%/35%) and the general population (50%/50%), 59.6% and 44%, respectively, suggesting a tendency toward homophily among men. ConclusionOur study aims to use network analysis and gender propensity to identify patterns of collaboration. We found that further work in the area of network analysis application to academic productivity may be of value, with a particular focus on the role of academic rank. Our methodology may aid department leaders by using the information from local analyses to identify opportunities to support faculty members to broaden and diversify their networks.

Trends and hotspots in gastrointestinal neoplasms risk assessment: A bibliometric analysis from 1984 to 2022.

Gastrointestinal neoplasm (GN) significantly impact the global cancer burden and mortality, necessitating early detection and treatment. Understanding the evolution and current state of research in this field is vital. To conducts a comprehensive bibliometric analysis of publications from 1984 to 2022 to elucidate the trends and hotspots in the GN risk assessment research, focusing on key contributors, institutions, and thematic evolution. This study conducted a bibliometric analysis of data from the Web of Science Core Collection database using the "bibliometrix" R package, VOSviewer, and CiteSpace. The analysis focused on the distribution of publications, contributions by institutions and countries, and trends in keywords. The methods included data synthesis, network analysis, and visualization of international collaboration networks. This analysis of 1371 articles on GN risk assessment revealed a notable evolution in terms of research focus and collaboration. It highlights the United States' critical role in advancing this field, with significant contributions from institutions such as Brigham and Women's Hospital and the National Cancer Institute. The last five years, substantial advancements have been made, representing nearly 45% of the examined literature. Publication rates have dramatically increased, from 20 articles in 2002 to 112 in 2022, reflecting intensified research efforts. This study underscores a growing trend toward interdisciplinary and international collaboration, with the Journal of Clinical Oncology standing out as a key publication outlet. This shift toward more comprehensive and collaborative research methods marks a significant step in addressing GN risks. This study underscores advancements in GN risk assessment through genetic analyses and machine learning and reveals significant geographical disparities in research emphasis. This calls for enhanced global collaboration and integration of artificial intelligence to improve cancer prevention and treatment accuracy, ultimately enhancing worldwide patient care.

Global biomarker trends in triple-negative breast cancer research: a bibliometric analysis

Background: Triple-negative breast cancer (TNBC) is defined as breast cancer that is negative for estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER-2) in cancer tissue. The lack of specific biomarkers makes the diagnosis and prognosis of TNBC challenging. Method: A comprehensive literature review and bibliometric analysis was performed using CiteSpace, VOSviewer and Scimago Graphica. Results: TNBC biomarker research has been growing rapidly in recent years, reflecting the enormous academic interest in TNBC biomarker research. A total of 127 journals published relevant studies and 1749 authors were involved in the field, with developed countries such as the United States, France, and the United Kingdom contributing greatly to the field. Collaborative network analysis found that the research in this field has not yet formed good communication and interaction, and the partnership should be strengthened in the future in order to promote the in-depth development of TNBC biomarker research. Comprehensive analysis of keywords and co-cited literature, etc. found that TNBC biomarker research mainly focuses on immune checkpoint markers, microenvironment-related markers, circulating tumour DNA, metabolic markers, genomics markers and so on. These research hotspots will help to better understand the molecular characteristics and biological processes of TNBC, and provide more accurate biomarkers for its diagnosis, treatment and prognosis. Conclusions: The bibliometric analysis highlighted global trends and key directions in TNBC biomarker research. Future developments in TNBC biomarker research are likely to be in the direction of multi-omics integration, meticulous study of the microenvironment, targeted therapeutic biomarkers, application of liquid biopsy, application of machine learning and artificial intelligence, and individualised therapeutic strategies. Young scholars should learn and collaborate across disciplines, pay attention to new technologies and methods, improve their data analysis skills, and continue to follow up on the latest research trends in order to meet the challenges and opportunities in the field of TNBC biomarkers.

The Use of Forestry and Agricultural Biomass in the Production of Pellets

Abstract The use of forestry and agricultural biomass for pellet production represents a significant opportunity to strengthen a sustainable economy characterized by reducing dependence on fossil fuels and more efficient protection of the environment. The aim of this paper is to improve the understanding of the current state of research on the use of forestry and agricultural biomass for pellets production, fostering awareness of their potential for energy production. In the development of the work, various research stages and techniques were used. These included the analysis of international trade data wood pellets, literature review of research dynamics on agricultural biomass pellet production from last decade, identification of articles from prestigious journals to highlight key trends and concerns in research, analysis of research concentration areas, and investigation and analysis of collaboration networks among researchers and institutions. These methodological approaches have contributed to the creation of a comprehensive and updated work, providing a deeper and clearer understanding of the researched topic. The European Union represents a major force in the global consumption of wood pellets, with demand for this product steadily increasing. Additionally, Romania has significant exports of wood pellets to other European countries, indicating considerable potential for the development of the pellet industry in the country. Furthermore, the literature emphasizes the importance of non-wood biomass, such as agricultural residues, as a crucial source for pellet production. The literature review reveals an increasing focus on biomass pellets in recent years, with research concentrating on various domains such as biotechnology, energy fuels, and sustainable green technology.

Innovations in science education: A bibliometric exploration of trends and future directions

This article carries out a bibliometric research review to present the evolving landscape of innovations in science education. The study acknowledges the dynamism of the contemporary educational practices and uses the bibliometric analyses for identification of trends, assessment of impacts of scholarly outputs, and mapping the future directions in the field of science education innovation. Starting with a review of the standard bibliometric indicators, e.g., citation analysis and co-authorship, the review lays down the theoretical basis for the understanding of the scientific impact of the innovations in science education. The analysis, moreover, consists of identifying thematic foci and emerging topics through keyword mapping, which together present a holistic picture of the intellectual map of the field. The review points to seminal works and trends, demonstrating the nature of interdisciplinarity in research in science education innovation. By the analysis of collaborative networks and research hotspots the research not only demonstrates the present status of the field, but also predicts its future directions, which could help researchers and educators at the same time. Also, as a retrospective tool, the article explores the general relevance of bibliometric insights for educators, administrators, and other researchers. It highlights the application of bibliometrics in evidence-based decision-making, curricula design and international collaboration, because it is common knowledge that it can trigger the great revolution in innovative science education. This bibliometric review generates useful outcomes, which are beneficial to academic discussions and provide guidelines for future research efforts as a key reference for researchers who would like to have a deep, general overview of the innovations in science education.

Bibliometric Analysis of Trends and Patterns in Sustainable and Responsible Investments (SRI) Research from 2000-2024

This study provides a comprehensive bibliometric analysis of Sustainable and Responsible Investments (SRI) research from 2000 to 2024, utilizing data visualization tools to map the evolution and current state of the field. Through thematic clusterization, temporal trends, author collaboration networks, and potential research topics, the research offers insights into the dynamic nature of SRI. Initial findings show a progression from foundational concepts to more nuanced discussions around impact investing and sustainability indices. The analysis of author collaboration networks highlights key influencers and suggests potential areas for future collaboration. Additionally, the identification of underexplored areas such as ethical investment frameworks and the impact of social investments indicates new directions for research. This paper underscores the importance of SRI in aligning financial investments with global sustainability goals, providing a roadmap for future research and practice in the field.

Public Health in Urban Areas: A Bibliometric Analysis of Strategies to Promote Wellbeing and Sustainable Development

This study employs bibliometric analysis to explore the landscape of research on urban public health and sustainability. Utilizing data extracted from major databases spanning from 1992 to 2024, the research identifies key thematic clusters, examines trends over time, identifies gaps presenting future research opportunities, and investigates author collaboration networks. The findings reveal a distinct shift towards integrating urban design with health outcomes, emphasizing the role of green spaces in enhancing mental and physical well-being. Emerging themes such as the impact of pandemics on urban health and the potential of blue spaces in urban settings are highlighted as under-researched areas that offer significant potential for future studies. Furthermore, the analysis of collaboration networks indicates robust intra-field connections and potential for new interdisciplinary partnerships. This study contributes to a deeper understanding of the evolving dynamics within urban public health research and underscores the importance of multidisciplinary approaches in addressing complex urban challenges.

Unveiling Trends and Hotspots in Air Pollution Control: A Bibliometric Analysis

With the continuous acceleration of urbanization, air pollution has become an increasingly serious threat to public health. Strengthening the detection and control of pollutants has become a focal point in current society. In light of the increasing amount of literature in the field of air pollution control with every passing year, numerous reviews have been compiled; however, only a limited number employ bibliometric methods to comprehensively review and summarize research trends in this field. Herein, this study utilizes two bibliometric analysis tools, namely, CiteSpace (6.1.R6) and VOSviewer (1.6.20), to conduct a visual and comprehensive analysis of air pollution literature spanning 2000 to 2023. By doing so, it establishes a knowledge framework for research on air pollution control. Simultaneously, collaborative network analysis, reference co-citation network analysis, keyword co-occurrence network analysis, and keyword prominence are employed to undertake an exhaustive and profound visual examination within this domain. Results indicate that, over time, the number of relevant papers has exponentially increased, while interdisciplinary cooperation trends have gradually formed. Additionally, this study describes key areas of current research, including air pollution control residue treatment, regional joint air pollution control, and air pollution control mechanism analysis. Finally, challenges faced by researchers in this field and their different perspectives are discussed. To better integrate research findings on air pollution control, we explore the correlations among data and systematically present their developmental trends. This confirms the interdisciplinary nature of air pollution control research, in the hope of its guiding air pollution control in the future.