Abstract:With a large number of publications published every year, academic data grows rapidly. Through published paper data to accurately and comprehensively present a scholar’s scientific research level and core competitiveness so as to provide assistant decision-making for managers, decision-makers or investors of large-scale scientific research institutions, big data visualization has become a research hotspot of literature. This study based on Web Of Science (WOS) paper data, (1) in order to improve the quality of data, a combination of algorithms and interactive visualization is used to design entity grouping algorithm and grouping visualization correction tool for the data characteristics of WOS papers, which can eliminate the difference between person name and affiliation name; (2) according to the commonly used academic competitiveness index, the visualization method of scholar’s profile is designed; (3) a set of visualization system of scholar’s profile based on thesis data is developed, and the visualization system of scholar’s profile based on publicated papers is developed. The real case of body proves the practicability and effectiveness of the system.