Knowledge mapping of mine ventilation technology research: A visual analysis using CiteSpace

Within the mining industry, a safe and economical mine ventilation system is an essential component of all underground mines. In recent years, research scientists and engineers have explored operations research methods to assist in the design and safe operation of primary mine ventilation systems. The main objective of these studies is to develop algorithms to identify the primary mine ventilation systems that minimize the fan power costs, including their working performance. The principal task is to identify the number, location, and duty of fans and regulators for installation within a defined ventilation network to distribute the required fresh airflow at minimum cost. The successful implementation of these methods may produce a computational design tool to aid mine planning and ventilation engineers. This paper presents a review of the results of a series of recent research studies that have explored the use of mathematical methods to determine the optimum design of primary mine ventilation systems relative to fan power costs.

To systematically reveal the spatiotemporal distribution, collaboration networks, and thematic evolution of global transrectal ultrasound (TRUS) research in prostate cancer from 2015 to 2024 using bibliometric analysis and visualization. A total of 12,894 relevant articles from the Web of Science database were analyzed using VOSviewer and CiteSpace for co-occurrence networks, burst detection, and density visualization, combined with social network analysis (SNA) and kernel density estimation (KDE) to decode country/institution collaboration patterns and geographical agglomeration. Annual publications peaked at 1800 in 2019, with a secondary surge in 2023 (1563 articles) driven by AI applications (e.g., AI-assisted biopsy). Mean citations per article reached 7.8 in 2020, coinciding with the release ofGLOBOCAN 2020and the rise of teleultrasound research. The United States (5333 articles) and Canada formed the North American core cluster (edge weight 5333 × 1099), while the UK (1287 articles) and Germany served as secondary hubs in Europe. Asian countries showed scattered distributions, though South Korea (2015-2017 burst strength 7.64, elastography) and Australia (2019-2022 burst strength 8.33, focal ablation) emerged as regional technical frontiers. The University of Toronto (242 articles) led TRUS-targeted biopsy research, while the University of Michigan became a rising affiliation due to TRUS-AI integration (post-2020 annual publications > 50). The high-impact journalJ Clin Oncol(5783 citations) focused on fusion biopsy, with annual articles increasing from 42 to 117.Keywords shifted from "systematic biopsy" (2015-2017) and "radiotherapy planning" (2018-2020) to "AI-assisted diagnosis" (2021-2024 burst strength 20.6) and "teleultrasound" (COVID-19-related studies, annual growth 19%), reflecting technology-driven clinical transformation. TRUS research exhibits significant regional inequality and technological iteration, with AI integration and multimodal fusion (e.g., MRI-TRUS fusion) as future priorities. Strengthening cross-regional collaboration is recommended to promote technological equity, particularly for low-cost TRUS innovations in resource-constrained regions.

Purpose- the purpose of the study is to identify the published articles, literature, and future directions for research in the adoption of technology in the field of management and business. it is based on the comprehensive review of articles using the bibliometric review technique. Design/methodology/approach- Fifty papers were selected for content analysis and using voS viewer software, the network visualization and bibliometric analysis was done. the database is the Web of Science database, focusing on the articles from the year 1990- 2021. Findings: this study helped identify the significant research areas: 1. emerging technology and adoption in the unorganized retail segment, 2. innovation and technology in retail segment and expectations of merchants-technology use and risk of service failure 3. Comparative study of user and non-user of technology in the unorganized sector. 4. Significant questions to develop a future research agenda from the published literature. Practical implications- Future research framework will guide the researchers and other stakeholders to develop various strategies to make technology adoption more sustainable. Originality and value- the study proposed to identify the literature on technology adoption in the retail segment and also a future research framework to discover further on this topic. The present work is unique as this covers a bibliometric review and content analysis in the subject area, and very little work is done on this segment.

To investigate the role of artificial intelligence in enhancing precise diagnosis, personalized treatment, and efficient monitoring of heart failure over the past two decades and to predict future advancements of these investigations. A literature search was conducted using keywords from the Web of Science database from January 1, 2004, to August 31, 2024, and 684 articles were retrieved. Bibliometric and visual analysis was conducted to examine annual publication volume; andto analyze authors, institutions, countries, journals, references, and keywords. The following tools were utilized for the analysis: Citespace, SCImago Graphica, Microsoft Office Excel, VOSviewer, and Pajek. The 684 retrieved studies comprised 70 countries/regions, 1550 institutions, and 4610 authors. The annual publishing output increased gradually between 2004 and 2016, and escalated significantlybeyond2017, particularly from 2021 to 2024. This upward trend is anticipated to persist in the future. Sengupta, Partho P.,and Shah, Sanjiv J. were the most productive authors. The University of California andHarvard University were the leading institutions in the number of publications within this discipline. The primary nations conducting research in this domain are China and the United States; theUnited States predominates research impact and global collaboration. Moreover, Frontiers in Cardiovascular Medicine is the leading journal withthemost articles published in this area, while Circulation ranks the highest in co-citations. The keywords include HF, machine learning, AI, and diagnosis. The application of AI inHF is a global concern in research. Currently,investigationsaddress AI-enhanced HF diagnosis and risk assessment;AI-powered personalized treatment strategies, remote patient monitoring, multi-omics data integration, and HF mechanisms. Predictably, optimizing the use of AI in the ICU and Multimodal data are future trends in research, with AI substantially facilitating effective management of HF.

To understand the research status and current dynamics of fruit quality detection and objectively reflect the influence of different countries, research institutions and authors in this field, the software CiteSpace was used to bibliometrically and visually analyze the relevant literature on fruit quality detection in Web of Science (WoS) database from 1982 to 2021. The results showed that the number of publications on fruit quality detection showed a trend of slow in the early stage, rapid in the middle stage and intensified in the late stage. China has the largest number of international publications, accounting for 21.80% of the WoS database, but its intermediary centrality is inferior to that of the United States, Germany, Italy and Spain; the United States is at the core of international cooperation, establishing cooperative relations with most countries; through keywords co-occurrence network and keyword clustering, it is concluded that the research mainly focuses on fruit quality detection based on spectral technology or electronic nose technology, fruit composition detection based on high-performance liquid chromatography (HPLC), fruit edible safety detection, and genetic analysis of fruit quality-related traits. Bibliometrics and visual analysis of this fruit quality detection research can provide a certain reference for relevant researchers.

At present, data security has become a key area of attention from all aspects. The proliferation of data leakage incidents, the acceleration of the introduction of data security laws and regulations, and the rising cost of enterprise compliance punishment jointly urge all enterprises to step up to improve their own data security system. In the construction of data security, data desensitization is always a core technical ability. In view of the current situation and future development trend of data desensitization technology and products, this paper introduces the development of data desensitization technology in detail from desensitization algorithm, anonymization, static data desensitization and dynamic data desensitization. At the same time, from the core function, product form, supply side status and other aspects of the data desensitization technology are described. On this basis, the standardization direction of data desensitization products in terms of core functions, concept definition, performance and stability is proposed. Finally, the development trend of data desensitization technology and products in four aspects of regularization, anonymization, intellectualization and contextualization are put forward.

Object: To understand the progress, hotspots and trends of international engineering education research and development, and provide reference for further research through visual analysis of papers published in 3 engineering education journals of SSCI. Methods: We use the Web of Science database as the search source, select of Engineering Education, of Professional Issues in Engineering and Practice, International Journal of Engineering Education for publications, and obtain article type documents published in the above journals from 2010 to 2019. We Use the information visualization analysis software called Citespace to perform statistical analysis, and understand the author groups, publishing institutions, research hotspots, time evolution and frontier fields. Results: A total of 2,323 papers are included in this study, and the number of papers published each year is between 201 and 253. International Journal of Engineering Education is the journal with the most papers, Purdue University is the institution with the most papers, and Borrego, M. is the author who published the most papers. As of September 27, 2020, the average number of paper citations is 6.4, the H-index index is 47, the overall number of citations reached 8941, and a total of 15 papers have been cited more than 80 times; a total of 27 keywords frequency reached 50 times, and the keywords formed 7 clusters. Conclusion: In the past 10 years, international engineering education research has developed well. American universities are more prominent in this field, forming a number of high-level research institutions and core author groups to lead relevant research development; the research hotspots included educational innovation and communication, curriculum design, teaching reform, student motivation survey, Interdisciplinary development, conceptual enlightenment, quality evaluation, etc. are the focus of the industry; assessment tools, gender, sustainability, ethics, computer engineering education, educational technology, virtual reality.

With the rapid development of information technology such as artificial intelligence and cloud computing, big data of higher education has received a lot of attention. This article uses the visual software Citespace from 2013 to 2022 to research higher education in big data in the Web of Science database. Through visual analysis, and uses of the keyword co-occurrence function and cluster analysis function, this article clarifies the main research directions, key documents, hotspots, and limitations in the field of big data in higher education, education big data technology, learning behavior analysis, learning style exploration, education resource management, and personalized teaching reform are the development direction and research hotspots. This article can provide readers and other researchers with some references and help.

To deeply understand the development status and research hotspots of high voltage pulsed electric field (HVPEF) technology, this paper takes the Web of Science (WOS) core collection Science Citation Index Expanded (SCI-EXPANDED) database as the literature source, and sets `high voltage pulsed electric field' as the keyword search. The collected 3041 articles (January 1, 1990–December 31, 2022) were used as the research object. CiteSpace and VOSviewer software were used to visually analyze the number of publications, citations, authors, institutions, journals, countries, disciplines, and keywords, and draw a visual map to explore the development context and content evolution of the technology on a global scale. It is found that the HVPEF technology is in a stage of rapid development, and the number of published papers and citations of relevant literature is on the rise. This field has been centered on China and the United States, forming a closely cooperative academic research network. There is also a close cooperative relationship between different authors and institutions. In addition, the research on HVPEF is mainly applied to physics, plasma, etc., but food, materials, and other disciplines are also involved. The research content extends from the PEF itself to cells, microorganisms, etc., and gradually from principle-based research to the use of technology to achieve the purpose. In recent years, the research on the extraction of active compounds assisted by PEF is increasing, which is likely to become one of the future research hotspots in this field. In summary, the HVPEF is receiving more and more attention, and has a very good research and application prospect.

ObjectiveBibliometric and visual analysis in the field of ketogenic diet (KD) on Liver Health from 2013 to 2024.MethodsWe retrieved the articles published between 2013 and 2024 from the Web of Science database and the Scopus database, and conducted the analysis using R software and VOSviewer software.ResultsThe number of publications in this field shows an increasing trend year by year. The United States leads in the number of published articles, followed closely by China, Italy, Japan, and Canada. Notably, the United States has also excelled in international collaboration, with institutions like Sapienza University of Rome and the University of California, San Francisco, actively engaging with other global institutions. Nutrients has the highest publication frequency, while Cell Metabolism leads in citations. Key researchers such as Crawford PA and Watanabe M have emerged, with prominent keywords including obesity, Metabolic Associated Steatosis Liver Disease, NAFLD, beta-hydroxybutyrate, and low carbohydrate diet, indicating the central themes and trends in KD related Liver Health research.ConclusionKD, a novel dietary therapy designed to induce physiological ketosis, is anticipated to achieve significant advances in liver health. Global interest in this approach is increasing, underscoring its potential as an emerging therapeutic trend. This study offers a thorough analysis of the current research landscape and key hotspots related to the KD in liver health, providing valuable insights for future investigations.

To provide a comprehensive and updated mapping of observational studies assessing the relationship between periodontitis and systemic diseases through a bibliometric and visual analysis. A search was conducted using the Web of Science database, covering the period 1989 to 2024. The Medical Subject Headings (MeSH) from the US National Library of Medicine was used to categorize systemic conditions, focusing on terms unrelated to stomatognathic diseases. The analysis included keyword co‐occurrence mapping, co‐authorship, bibliographic coupling, and co‐citation analysis. Quality indicators such as silhouette score, modularity, and centrality were considered to assess the network's quality. The research strategy identified 6106 records, of which 1519 met the inclusion criteria. The analysis revealed that 46.73% of the literature on the topic was published in the last 5 years and that the annual publication trend peaked in 2023. Nutritional & Metabolic Diseases (n = 398), Cardiovascular Diseases (n = 335), Female Urogenital Diseases & Pregnancy Complications (n = 244), and Musculoskeletal Diseases (n = 182) were the most representative categories of systemic diseases associated with periodontitis. The most co‐cited journals on the topic were the Journal of Periodontology (n = 1412), the Journal of Clinical Periodontology (n = 1343), the Journal of Dental Research (n = 940), and Periodontology 2000 (n = 849). The USA, China, Brazil, and Sweden were the countries that contributed the most to the number of publications. The analysis conducted in the present study revealed a growing trend of observational studies evaluating the association between periodontitis and systemic diseases, highlighting the negative impact of periodontitis on a plethora of systemic conditions and a rising translational interest in this relationship. With an aging population, periodontitis is expected to affect a growing number of people in the coming decades, presenting significant challenges to public health. Improved knowledge is, therefore, essential to enable more comprehensive care, preventive strategies, and optimal oral health for patients with periodontitis.

With the development of economic globalization, the issue of industrial upgrading has gradually become the focus of scholars. This paper provides a systematic review of academic research focused on industrial upgrading. Using CiteSpace 6.1.R 5 visualization tools, we collected 1535 articles from the Web of Science database over 30 years. This paper identified the most influential publications, authors, journals, institutions, and countries in this field. Additionally, this paper analysed the structures of cited references, cited authors, and cited journals to gain insights into theoretical foundations. Lastly, the collective results obtained using CiteSpace will contribute to a better understanding of industrial upgrading in the form of a “Scientific and technological innovation evaluation index system in China” for both theorists and practitioners. This paper combines bibliometric methods with systematic reviews to help researchers and practitioners better understand the development of industrial upgrading.

BackgroundGastric cancer is a serious disease that threatens human life; early diagnosis and treatment have been the focus of many studies. With advancements in imaging evaluation and machine learning, early detection and treatment of gastric cancer have become feasible. This study aimed to explore research trends and hotspots in the field of gastric cancer and machine learning through bibliometric analysis and to provide new insights for related clinical applications.MethodsLiterature on gastric cancer and machine learning published from 2004 to 2023 was retrieved from the Web of Science database. Microsoft Excel 2019 was used for statistical analysis of influential articles, journals, authors, organizations, countries (regions), and co-citation references in this research domain. VOSviewer (version 1.6.16) and CiteSpace (version 5.8.R3) were utilized to visualize the corresponding data.ResultsWe analyzed and evaluated 425 articles authored by 2,899 researchers from 825 organizations across 52 countries (regions). The People’s Republic of China, the Chinese Academy of Sciences, and the University of the Chinese Academy of Sciences were identified as leaders in this field. The article “Genome-wide cell-free DNA fragmentation in patients with cancer,” published in Nature, was the most frequently cited work. The diagnosis and treatment of gastric cancer have consistently been research hotspots, with a shift in focus from laboratory-based studies to clinical applications. This trend highlights the transition from etiology-oriented research to studies emphasizing treatment and practical applications.ConclusionsThis study offers a comprehensive visual analysis of research on gastric cancer and machine learning, representing the most detailed bibliometric study in this domain. With the continuous advancement of research, artificial intelligence-assisted early diagnostic methods for gastric cancer and corresponding treatment strategies may emerge as a pivotal direction for future research in this area.

Objective: To investigate the visual application of the CiteSpace software in the field of work-related musculoskeletal disorders (WMSDs) . Methods: The literature on WMSDs research, published from 1991 to 2017, was retrieved in Web of Science database. The CiteSpace 5.2 was used to make visualization analysis on the hotspots and tendency of the keywords, authors, countries (regions) and research institutes in relevant literature. Results: A total of 3224 literatures were included in the analysis. The amount of the literatures published was increasing annually. The key word co-occurrence network showed that the research hotspots mainly focused on the study of epidemiology, risk factors, symptoms, and other aspects of WMSDs. The cooperation network and time network of counties and regions showed that America and Europe were at the leading position in the field of WMSD, and the top three were America, Canada and Sweden. The developing countries, like Brazil and China, had also begun to make relative research since 2000. In research cooperation, the collaboration among countries, research institutions was relatively close, and multiple leading core authors and teams were formed in the international arena. Conclusion: The CiteSpace software can directly demonstrate the hotspots and tendency in the area of WMSDs.

With the development of e-commerce, different scale, industries and enterprises can improve productivity and profitability in new ways. At the same time, the development of e-commerce makes digital transformation and digital services more and more popular. However, researchers pay little attention to the relationship between the two, and there is still a gap in the bibliometric analysis and research on this topic at present. Under this background, it is of great significance to explore the relationship between electronic commerce and digital transformation. In this paper, 253 articles were retrieved from the Web of Science database, and the results were compared with those of "Electronic Commerce", "Innovation Mechanism", "Digital Transformation", "Digital Trade", "Digital Capital" and "Digital Services" and other key words for a comprehensive data and visual analysis. Using big data analysis technology and visualization software, the author analyzes the key words, main research institutions, countries and the sources of publications through four visualized illustrations in order to show the relationship between e-commerce and digital transformation more directly, so as to make up for this research gap, to reshape the traditional business development model and promote the mutual application of e-commerce and digital transformation in the future, it provides the research foreland and thoughts for the development of electronic commerce and digital transformation in our country and even in the world.