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Evolution of Artificial Intelligence in Medical Education From 2000 to 2024: Bibliometric Analysis
To present the knowledge structure and emerging research trends, VOSviewer (version 1.6.18; Leiden University), Incites (Clarivate), Interacti Venn (Universidade de São Paulo), and Citespace (Drexel University) were used. Incites is a research evaluation tool developed by Clarivate Analytics, and the scores of citation impact, H-index, journal impact factor, international collaborations, study influence, and immediacy index were directly obtained in Incites.
Interact J Med Res 2025;14:e63775
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Numerous global bibliometric analyses have been conducted using Cite Space and VOSviewer in recent years. These analyses have focused on the comprehensive rehabilitation statuses and research trends of diseases such as cancer, ankylosing spondylitis, motor and neuropathic pain, and osteoarthritis [10-13]. However, to the best of our knowledge, a bibliometric analysis of AI’s application in medical education has yet to be implemented.
JMIR Med Educ 2024;10:e51411
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Microsoft Office Excel 2019, VOSviewer (v.1.6.20), and Cite Space (v.6.3.R1 Advanced) were used to analyze all 1172 files. VOSviewer, a bibliometric software, was developed in 2009 by van Eck and Waltman [18] at Leiden University’s Center for Science and Technology Studies in the Netherlands. This Java-based software is free to use and is highly proficient in visualizing and analyzing large-scale data [18].
J Med Internet Res 2024;26:e63367
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Cite Space (version 5.8.R3; Drexel University) and VOSviewer (version 1.6.11.0; Centre for Science and Technology Studies, Leiden University) were used for further data analysis. Quantitative and qualitative analyses were performed and presented in this study, including the following:
Annual trends of the publications and citations: these present the general trends in this field.
JMIR Serious Games 2023;11:e48354
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Virtual Reality Technology in Cognitive Rehabilitation Application: Bibliometric Analysis
In this study, Cite Space (version 5.8.R2; Drexel University), Scimago Graphica (version 1.0.16; Scimago lab), and g CLUTO (version 1.0; Kerapis lab) software were used to perform the bibliometric visual analysis. Cite Space was used to analyze the distribution of countries or regions, authors, journals, and cocited references. Scimago Graphica was used to generate geographic visualization maps of the countries or regions. g CLUTO was used for the keyword clustering analysis.
JMIR Serious Games 2022;10(4):e38315
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Digital Health Literacy: Bibliometric Analysis
Currently popular tools include VOSviewer [33], Cite Space [34], Bib Excel [35], Hist Cite [35], and others. We selected VOSviewer and Cite Space as our analysis tools. The reason for this was that VOSviewer has better visualization in network and cluster analysis, and Cite Space is better in literature timeline analysis. A combination of these two tools can better achieve our research goals.
J Med Internet Res 2022;24(7):e35816
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Collaborative networks of countries, institutions, journals, keywords, and research categories were analyzed and visualized using the bibliometrics online analysis platform Bibliometrc [16], Cite Space V, and VOSviewer. We collected detailed citation features for analysis, including the number of annual publications, countries, institutes, journals, subject categories, cocited references, and keywords.
J Med Internet Res 2022;24(6):e37532
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Overview of Graves Ophthalmopathy Literature From 1999 to 2019: Bibliometric Analysis
Cite Space 5.6 R5 (32-bit) is a bibliometric analysis tool developed by Chaomei Chen in 2004 and has been used by many researchers [13]. For example, Cite Space has been used to analyze the development and trends in research on valvular heart disease [14]. In our study, Cite Space was the main bibliometric analysis tool used.
Interact J Med Res 2021;10(3):e24831
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Cite Space (version 5.3.R4) was used for social network analysis of developmental dynamics, future trends, hotspots, and key points in scientific literature of a specific topic [21]. Burst detection, to identify keywords and references that appear with an abrupt change in frequency at a certain period, were considered to be hot keywords or references at that point in time. Clustering (or co-citation, ie, both A and B are cited by C) analysis of references was also conducted [21].
J Med Internet Res 2021;23(8):e25789
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