Visual analysis of China's intelligent finance- Based on CiteSpace

Abstract

This article uses the computer software CiteSpace to conduct interdisciplinary visual analysis in the fields of computer and finance. The research methods are knowledge graphs and bibliometric analysis methods. Annual publication volume, journal distribution, core authors, cooperative institutions, research hotspots, etc. are analyzed. It is found that China's research on intelligent finance has not formed a cooperative group, and the research institutions mainly come from universities. Research hotspots mainly focus on four aspects, namely technical support, system construction, implementation effect, and teaching reform. In the future, the demand for big data, AI, and financial compound talents will increase sharply. Therefore, colleges and universities need to promote financial teaching reform to increase the number of compound talents. The research in this thesis points out the direction for the future training of accounting talents in colleges and universities.