科研管理 ›› 2023, Vol. 44 ›› Issue (1): 8-15.

• 论文 • 上一篇    下一篇

全球视角下中国人工智能研究可视化分析

赖红波,赵逸维   

  1. 上海理工大学 管理学院,上海200093
  • 收稿日期:2020-06-28 修回日期:2021-01-10 出版日期:2023-01-20 发布日期:2023-01-18
  • 通讯作者: 赖红波
  • 基金资助:
     2020年上海市哲学与社会科学一般项目基金:“上海进一步推进人工智能与数字经济发展的路径与机制研究”(2020JG016-BJB560,2020.07—2021.12)。

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

Lai Hongbo, Zhao Yiwei   

  1. School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2020-06-28 Revised:2021-01-10 Online:2023-01-20 Published:2023-01-18

摘要: 本文以 Web of Science和知网数据库中2010-2019年的人工智能相关文献作为数据样本,借助CiteSpace软件通过双图叠加分析、共词分析和突现词分析等科学知识图谱的研究方法,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分析。研究发现,我国人工智能发展已经达到世界前列,但和顶尖水平还有较大差距;更多地应用发展和更多学科的覆盖是我国人工智能发展的特点;我国抓住了此次人工智能热潮爆发的时间,并且很好地与产业和市场发展相结合。同时,本文希望能带来结合具体情况发展我国人工智能的启示,以助力其更深层次的发展。

关键词: 人工智能, 科学知识图谱, 可视化分析, 中国人工智能发展

Abstract:

    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.

     Based on the research method of knowledge mapping, this paper uses the literatures related to AI in Web of Science and CNKI as the data source, and utilizes CiteSpace software to make a visual analysis of the development, characteristics, and evolution process of China′s AI research in the recent ten years from a global perspective. First, through the function of dual-map overlay, this paper analyzes the characteristics of AI research from a macro perspective, and also analyzes China′s role in AI research from the perspective of countries and institutions. Then, by using the co-word analyze of the subject words, this paper compares the research hotspots in the world and analyzes the characteristics of relevant researches in China. At the same time, the evolution trend of artificial intelligence research in China is analyzed by using burst term analysis. Finally, the conclusions of the research and analysis are summarized, and some suggestions are put forward.

       It is found that the research of artificial intelligence has shown a trend of multi-discipline and interdisciplinary integration. China′s development in the field of artificial intelligence has achieved results, but there is still a gap between the top. China′s research on the application of artificial intelligence is more abundant, which is related to China′s rich data resources and application scenarios. In the future, we should pay more attention to the cultivation of talents, long-term support and investment in basic technologies, and expect that artificial intelligence technology can bring more profound changes.

Key words: artificial intelligence, map of scientific knowledge, visual analysis, development of artificial intelligence in China