Visual analysis of intelligent manufacturing technology hotspots and trends based on CiteSpace

Baoli Ning; Ming Chen

doi:10.1117/12.2640477

24 October 2022 Visual analysis of intelligent manufacturing technology hotspots and trends based on CiteSpace

Baoli Ning, Ming Chen

Proceedings Volume 12289, International Conference on Intelligent Manufacturing and Industrial Automation (CIMIA 2022); 1228902 (2022) https://doi.org/10.1117/12.2640477
Event: International Conference on Intelligent Manufacturing and Industrial Automation (CIMIA 2022), 2022, Kunming, China

Abstract

This paper taking CNKI as the data source and ‘intelligent manufacturing technology’ as the retrieval subject word, using scientific metrology method and CiteSpace 5.8 R3 software carries out co-occurrence network visual analysis of literature authors, institutions and keywords. A total of 2687 related literatures were included. Li Fangyuan, Zang Jiyuan, Yang Shuzi, Zhou Ji and Yao Xifan are the main authors; Instrumentation Technology and Economy Institute, P. R. China, Chinese Academy of engineering, Huazhong University of science and technology, Zhejiang University and Tsinghua University are the main research institutions; Intelligent manufacturing and manufacturing industry are the most central research hotspots; The Symposium and made in China are relatively new research frontiers. Visual atlas analysis can intuitively and quickly show the development trend, research hotspots and cutting-edge contents of intelligent manufacturing technology research from 1992 to 2022, and provide reference data and development direction for further research.

Citation Download Citation

Baoli Ning and Ming Chen "Visual analysis of intelligent manufacturing technology hotspots and trends based on CiteSpace", Proc. SPIE 12289, International Conference on Intelligent Manufacturing and Industrial Automation (CIMIA 2022), 1228902 (24 October 2022); https://doi.org/10.1117/12.2640477

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