Detecting of Research Front Topic in Artificial Intelligence Based on SciVal

Liqun Wen, Yao Lu, Hui Li, Suyan Long, Jiayu Li
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引用次数: 5

Abstract

The era of intelligence marked by artificial intelligence is coming. Accurate judgment of research front in AI can influence the policy orientation of AI technology. Based on Scopus database, artificial intelligence related papers between January 1, 2012 and July 1, 2018 were retrieved. SciVal analysis tool was used to identify research fronts in artificial intelligence. The results showed that four research fronts are determined according to the value of topic prominence. Based on the distribution of high-frequency keywords in the four research frontiers, and combined with the relevant literature of artificial intelligence research, the key research contents contained in each front topic were analyzed. United States still rank first in terms of both applied and basic research.
基于SciVal的人工智能前沿研究课题检测
以人工智能为标志的智能时代正在到来。对人工智能研究前沿的准确判断会影响人工智能技术的政策取向。基于Scopus数据库,检索2012年1月1日至2018年7月1日的人工智能相关论文。使用SciVal分析工具确定人工智能的研究前沿。结果表明,根据主题突出值确定了四个研究前沿。基于四个研究前沿的高频关键词分布,结合人工智能研究的相关文献,对各个前沿课题所包含的重点研究内容进行分析。美国在应用研究和基础研究方面仍然排名第一。
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