全球视角下中国人工智能研究可视化分析

人工智能已经成为下一轮工业革命的核心内容，各国争先对其进行部署和发展。为了更好地了解我国人工智能领域的现状和发展，本文基于知识图谱的研究方法，以Web of Science和CNKI中人工智能相关文献作为样本数据，运用CiteSpace软件，通过双图叠加分析、共词分析和突现词分析等功能，从全球的视角对我国人工智能研究近十年来的发展面貌、特点和演化历程做出了可视化的分析。研究发现：人工智能的研究已经呈现出了多学科和学科融合发展的态势；我国在人工智能领域的发展已经取得成果，但距离顶尖还有差距；我国对人工智能应用的研究更为丰富，这与我国的丰富的数据资源和应用场景有关；未来我们应更注重人才的培养，对基础技术的长期支持和投入，同时期待人工智能技术能够带来更为深刻的变革。

A visual analysis of China′s artificial intelligence research from a global perspective

    Artificial intelligence (AI) is the most important core content in the fourth Industrial Revolution. More and more governments and enterprises have realized the importance of it and have made strategic adjustments one after another, actively deploying their own artificial intelligence development strategies. In recent ten years, the related literature of artificial intelligence research presents a blowout trend. The literature review of these research results based on traditional methods has encountered many problems, such as the wide is too range, the quantity is too much and the difficulty in objective analysis. Therefore, several scholars have used knowledge mapping to conduct quantitative research on literature in the field of artificial intelligence, but none of them has studied the development in China from a global perspective. In this context, it is of great significance for the development of AI fields in China to analyze the current appearance and trend of AI research in the world and the characteristics of those in China. In order to solve these problems, this paper summarizes the characteristics of relevant research on AI from the perspective of global and China, and analyzes the research hotspots and evolution trends in this field in China. It is hoped to further fill in the gaps in existing research, provide valuable reference information for the development of AI in China, and thus facilitate its future construction and development.