文献计量视角下全球人工智能领域研究态势与热点分析

人工智能迅速发展，成为国家综合国力不可或缺的组成部分。本研究以“人工智能”为关键词对SCI、EI和SSCI数据库进行检索,以获得的2009~2019年15821篇文章的为研究对象，利用文献计量法和网络分析法对人工智能领域研究文献的空间分布、变化趋势和合作强度进行分析，总结创新主体的科技成果和合作能力。通过对关键词的共词分析、聚类分析和战略坐标图分析法，总结了2009~2019年人工智能研究的热点,潜在发展方向和研究前沿。结果显示：中国人工智能研究文献的数量迅速增长，但我国基于认知层面的核心算法研究水平还亟待提高，这也是未来竞争的核心领域。

Analysis on the Research Trend and Hotspots of Global Artificial Intelligence on the Basis of Bibliometrics

With its rapid development in recent years, Artificial Intelligence has become an indispensable part of comprehensive national strength. With artificial intelligence as the key word, the SCI EI and SSCI databases were retrieved, and 15821 articles obtained from 2009 to 2019 were taken as the research objects This paper focuses on the analysis of spatial attribute, change trend and cooperation intensity in the field of Artificial Intelligence by using bibliometric method and network analysis method, and summarizes the scientific and technological achievements and cooperation ability of innovation subjects. The research hotspots, potential development directions and research frontiers in the field of Artificial Intelligence are analyzed in detail based on co-word analysis, cluster analysis and strategic coordinate diagram analysis. The results show that the number of AI research literature in China is growing rapidly, but the research level of core algorithms based on cognition in China needs to be improved urgently, which is also the core area of future competition