2023 VOLUME 3 ISSUE 3
RESEARCH ARTICLE
Exploring the intellectual structure based on co-citation network analysis: A case study of diabetes
AUTHOR
Zhibo Zhuang, Zhimin Zeng, Yi Li
ABSTRACT
As the number of diabetics increases worldwide, the amount of research so as to bibliometric research on diabetes is also growing. In order to review the existing research on diabetes from a macro perspective and to remedy the lack of attention given to conference papers, this paper collected a total of 67,104 diabetes-related conference papers on the theme of "diabetes" up to 23 October 2020 in the core collection of Web of Science. Tools for bibliometric analysis include Citespace and VOSviewer and other tools such as Excel and Origin are applied for statistical analysis and visualization of the results. Consequently, publication trend, document co-citation, journal co-citation and author co-citation are analyzed based on these papers, and core documents, journals and authors are identified. This study not only shows the current situation of academic conferences related to diabetes research but also, to a certain extent, reveals the development of the diabetes research situation in the whole field. Meanwhile, this study quantitatively analyzed the intellectual base on diabetes, which can be an illustration of the benefits of bibliometric analysis as a tool in scientific research.
KEYWORDS
Co-citation analysis; Bibliometrics; Diabetes; Conference papers; Visualization