Data Analytics for Artificial Intelligence Research from 2018 to 2020

Abstract

This paper is based on literature dataset about Artificial Intelligence from SCI and EL A series of indices, such as Documents, Times Cited, CNCI, Highly Cited Papers, Hot Papers and EI Controlled Terms are used to analyze the research status and trends in the field of artificial intelligence in 2018-2020. Based on Documents, Times Cited and CNCI, high-yield countries, high-yield institutions, high-impact countries and high-impact institutions are identified. Based on Highly Cited Papers, Hot Papers and EI Controlled Terms, the most productive topics and the most influential topics in AI subject are identified. The results show that: AI is the third most productive sub-field in the Computer Science, and it produces the most highly cited papers and hot papers; the three countries with most total paper output are China mainland, USA, and Japan, while the top three countries with highest average paper impact are USA, England and United Kingdom; China mainland has the most high-yield institutions, among which Tsinghua University ranks first; the most influential topics discussed in highly cited papers are Decision Making, Neural Networks, Convolution, Fuzzy Sets, Deep Learning, Learning Algorithms, etc.