Data and Research Hotspot Analyses of National Natural Science Foundation of China in Automation Field

Fang Deng*, Su Song, Ke Liu, Guo Zheng Wu, Jun Fu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

6 引用 (Scopus)

摘要

The statistics and analyses of applications and grants in automation field of National Natural Science Foundation of China (NSFC) for 1986 to 2017, show that the NSFC support has become an important research funding resource, that the size of research staff, the amount of the research findings, and the number of granted applications are steadily increasing, and that the research teams are becoming younger. Through data-mining different research hotspots and their changes for the past 30 years, it is found that the research in automation of China is closely keeping pace with the state-of-the-art, and that the theoretic hotspots are more than the application ones while the percentage of approved applications in application-oriented research is rising year by year. The data and findings of this paper can also serve as a reference for Chinese researchers to refer to research interests in the automation field.

源语言英语
页(从-至)377-384
页数8
期刊Zidonghua Xuebao/Acta Automatica Sinica
44
2
DOI
出版状态已出版 - 1 2月 2018

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