Visual analysis of latent class model research hotspots at home and abroad based on CiteSpace
HOU Yaping
XIA Yiming
ZHANG Xiaohui
QIAO Chuanxun
Abstract：Objective:To understand the hotspots and development trends of latent class model research at home and abroad.Methods:The literature related to latent class model research included in the database of China National Knowledge Infrastructure(CNKI),Wanfang Database and Web of Science Core Collection was searched from January 1,2016 to June 1,2024,and the visual analysis software CiteSpace 6.3 was used for analysis.Results:A total of 283 English articles and 350 Chinese articles were included,and the number of foreign papers showed a rapid upward trend from 2022,and the research hotspots mainly focused on quality of life,anxiety,depression,breast cancer and other aspects.The research frontier was mainly reflected in sleep and symptom clusters.China has shown a rapid upward trend since 2021,and the research hotspots mainly focus on the elderly,stroke,and chronic diseases.The research frontiers were mainly reflected in resilience,anxiety,breast cancer,and tumor nursing.Conclusions:In recent years,the research on latent class model has developed rapidly in China,but the quality of research needs to be improved,It is suggested that international cooperation be strengthened,so as to improve the research level in this field.
Keywords：latent class modelCiteSpace softwarevisual analyticsresearch hotspotsnursing
Publication Date：2025-07-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2408-2413 )