A comparative study of chinese and foreign artificial intelligence from the perspective of mapping knowledge domains
XU Jiayue1,2， LU Caiwu1,2， HUANG Yusen1,2
1.School of Management ，Xi’an University of Architecture and Technology，Xi’an 710055，China；2.Institute of Mine System Engineering， Xi’an University of Architecture and Technology，Xi’an 710055，China
Abstract：As an important branch of computer science， AI (artificial intelligence) has developed rapidly in recent years. The scope of applied fields has also expanded from computer science to brain science psychology and other interdisciplinary and marginal subjects， which has attracted more and more attention from domestic and foreign scholars and researchers in related fields. It is of great significance for researchers to contrast and analysis current research situation and frontier trends in the field of AI at home and abroad. Based on the concept of mapping knowledge domains， map of scientific knowledge is drawn by CiteSpace with literatures in the field of AI published in domestic and foreign journals from 2010 to 2018 in WOS and CNKI core database as data sources.The results show that the research has gone through three stages， including boom stage， stable development stage and a new round of development stage. Although domestic and foreign research hotspots have different emphases， on the whole， big data， machine learning and other aspects of research will become hot spots.
徐家越,卢才武,黄玉森,. 基于知识图谱的国内外人工智能应用领域对比研究[J]. 华中师范大学学报(自然科学版), 2020, 54(2): 301-312.
XU Jiayue,LU Caiwu,HUANG Yusen,. A comparative study of chinese and foreign artificial intelligence from the perspective of mapping knowledge domains. journal1, 2020, 54(2): 301-312.
2020, Vol. 54 
