矿业科学学报2025，Vol.10Issue(3)：399-407,9.DOI:10.19606/j.cnki.jmst.2025042
基于知识图谱的矿山开采沉陷研究发展分析
Development analysis of mining subsidence research based on knowledge graph
摘要
Abstract
Focusing on mining subsidence research,this study conducted a comprehensive analysis u-sing 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 in-stitutions 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 re-garding subsidence issues;Chinese institutions dominate in terms of publication quantity,with China University of Mining and Technology leading with 1 456 papers.Currently,both domestic and interna-tional 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.关键词
开采沉陷/CiteSpace/知识图谱/监测技术Key words
mining subsidence/CiteSpace/knowledge graph/monitoring technology分类
矿山工程引用本文复制引用
王泽惠..基于知识图谱的矿山开采沉陷研究发展分析[J].矿业科学学报,2025,10(3):399-407,9.基金项目
国家自然科学基金(52394194) （52394194）
