国家自然科学基金人工智能领域数据 分析与研究热点变化

Translated title of the contribution: Data and Research Hotspot Analyses of National Natural Science Foundation of China in Artificial Intelligence Field
  • Guo Xie
  • , Ao Qian Zhang
  • , Leu Wang
  • , Qingu Liao
  • , Huai Wen Zhang
  • , Hui Lin Ge
  • , Zhi Li Zhou
  • , Zhi Hcngu Wang
  • , Guo Zhcng Wu*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper statistically analyzes the applications and grants in the field of artificial in-telligence(AI) from the National Natural Science Foundation of China (NSFC) from 2018 to 2024, and the results show that the NSFC support has become an important source of research funding for researchers, and the total number of researchers and the number of research findings arc increasing rapidly, the number of applications in 2024 is 2. 06timcs higher than that of 2018, the number of grants is 1. 46 times higher than that of 2018, and the total amount of grants is 1. 55 times higher than that of 2018. The research team shows a trend towards rejuvenation. Data mining of various research hotspots and their changes over the last 7 years shows that research financed by the fund can reflect the hotspots of scientific research, have a leading effect and have significantly contributed to academic development. This paper can serve as a reference for Chinese researchers in the AI field to refer to research interests and other aspects.

Translated title of the contributionData and Research Hotspot Analyses of National Natural Science Foundation of China in Artificial Intelligence Field
Original languageChinese (Traditional)
Pages (from-to)2779-2788
Number of pages10
JournalJisuanji Xuebao/Chinese Journal of Computers
Volume48
Issue number11
DOIs
Publication statusPublished - Nov 2025
Externally publishedYes

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