天津科技 ›› 2023, Vol. 50 ›› Issue (4): 119-122.

• 科学与社会 • 上一篇    下一篇

高频次被引术语视角下人工智能领域的前沿和热点分析

肖晨   

  1. 北京印刷学院 北京 100000
  • 收稿日期:2023-04-08 出版日期:2023-04-25 发布日期:2023-12-27

Analysis of Frontiers and Hotspots in Field of Artificial Intelligence from Perspective of High-frequency Cited Terms

XIAO Chen   

  1. Beijing Institute of Graphic Communication,Beijing 100000,China
  • Received:2023-04-08 Online:2023-04-25 Published:2023-12-27

摘要: 人工智能技术近年来已快速运用到社会各个领域当中,对人工智能研究进行高频术语的分析为科技的发展及智能社会的构建奠定了基础。以Web of Science数据库收录的近5年按被引频次从高到低的前1 000篇SCI文献为样本,运用 CiteSpace 可视化文献计量软件对人工智能的前沿和热点进行分析研究发现,人工智能研究主要集中于机器学习、深度学习、神经网络、新型冠状病毒肺炎等方面,全球在人工智能领域应加大国际之间的合作与科技创新力度,加大高校专业人才的培养。

关键词: 人工智能, 高频术语, 可视化分析, 热点及发展趋势

Abstract: In recent years,artificial intelligence technology has been applied to various fields of society at a rapid speed. The high-frequency term analysis of artificial intelligence research has laid a solid foundation for the development of science and technology and the construction of science and technology society. Taking the top 1 000 SCI documents from high to low citation frequency included in the Web of Science database in the past five years as samples,and using CiteSpace visual bibliometric software to analyze the frontiers and hotspots of artificial intelligence,it is found that AI research is mainly focused on machine learning,deep learning,neural networks,novel coronavirus pneumonia and so on. In the field of AI,the global cooperation and technological innovation should be strengthened,and the cultivation of professional talents in universities should be intensified.

Key words: artificial intelligence, high-frequency cited term, visual analysis, hotspots and development trends

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