This thesis is based on a sample of 843 medicine and humanities research literature from CNKI database. It uses information visualization techniques and tools (CiteSpace III) of dynamic network analysis to perform co-occurrence analysis and cluster analysis of these data. It draws Mapping Knowledge Domains in the vanguard of the medicine and humanities field, reflects the important literature and important figures in the fields of medicine and humanities and shows the relationship and evolution of the medicine and humanities knowledge structure.