The study of multimodal discourse analysis in China based on CiteSpace 6. 4. R1.

this article provides an overview of the definition of multimodal discourse and its research origins and development. Using CiteSpace 6. 4. R1 software, a visual analysis was conducted on 449 research articles related to multimodal discourse analysis published between 2020 and 2024 on the platforms of China National Knowledge Infrastructure (CNKI), Wanfang Data, and Weipu Information. By examining the annual publication trends, distribution of authors and institutions, keyword clustering, burst detection maps, and keyword timelines, the study deeply analyzes the current state, hot topics, dynamic frontiers, and development trends of multimodal discourse analysis in China. The research findings indicate that: (1) the study of multimodal discourse analysis in China shows a steady growth trend, but the collaboration network among authors and institutions remains weak and needs to be strengthened; (2) current research hotspots are highly focused on the mechanisms of combining visual modalities and language, as well as their application in fields such as translation practice and cultural communication; (3) future research will develop towards diversifying application scenarios, deep interdisciplinary integration, and expanding international perspectives. The article also points out the limitations of existing research and offers targeted suggestions aimed at providing references and ideas for subsequent studies.

multimodal discourse analysis, CiteSpace, visual analysis, development trends, research hotspots