The visualization software CiteSpace is used to construct the knowledge map of the hot issues of Bei? jing Opera theory research, and the literature data with Beijing Opera as the theme from 1998 to 2021 are ob? tained. The data analysis and processing are carried out around the number of relevant documents, keywords, authors and other factors, and the knowledge structure map of Peking Opera theory research is drawn. Accord? ing to the analysis results, four theme modules of“Beijing Opera Art”,“Beijing Opera Modern Drama”,“Bei? jing Opera Improvement and Innovation”and“Beijing Opera Inheritance and Development”are innovatively proposed, and related scholars are classified to form expert theme clustering. In addition, this paper also predicts and prospects the future development trend of Beijing Opera theory from the time dimension. In general, the re? search results of this paper can not only be applied to the study of Beijing Opera theory, but also promote the overall inheritance and dissemination of Beijing Opera art.