Development analysis of mining subsidence research based on knowledge graph

Focusing on mining subsidence research, this study conducted a comprehensive analysis using the CiteSpace citation network visualization tool based on literature from both the China National Knowledge Infrastructure (CNKI) and Web of Science (WoS) databases. By analyzing publication volume, research institutions, and keyword clusters, this study maps knowledge graphs of research institutions and keywords to uncover research hotspots and frontier trends in the field of mining-induced subsidence. The results indicate that there is a high level of attention from the academic community regarding subsidence issues; Chinese institutions dominate in terms of publication quantity, with China University of Mining and Technology leading with 1456 papers. Currently, both domestic and international research hotspots focus on high-precision monitoring technology and subsidence prediction and monitoring in complex environments. The integration of multi-source data has become a significant trend in mining subsidence monitoring and research.