Title | Analysis the Research Hotspots and Key Technical of Intelligent Manufacturing |
Author | |
Corresponding Author | Wu,Jiahao |
DOI | |
Publication Years | 2022-04-28
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Source Title | |
Pages | 342-349
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Abstract | Intelligent manufacturing is one of the keys to open up the future of life, and multidisciplinary interactions have shown its strong vitality. This study conducts a scientometric review of the global research published since 1987 on intelligent manufacturing, through citation, keyword, clustering and keywords burst analysis. A total of 3994 research documents are taken as data sources, which are retrieved from the Web of Science Core Collection database from 1987 to 2021. Using the CiteSpace analysis tool, this paper discussed the development process of the relevant years of intelligent manufacturing, analyzed the research hotspots and their technology, presented the emerging models and techniques, and identified the latest research evolution and trends. The results will provide reference for scientific scholars in future research in the field of intelligent manufacturing. |
Keywords | |
SUSTech Authorship | Others
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Language | English
|
URL | [Source Record] |
Indexed By | |
EI Accession Number | 20223112459680
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EI Keywords | Manufacture
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ESI Classification Code | Heat Treatment Processes:537.1
; Engineering Research:901.3
; Industrial Engineering:912.1
; Manufacturing:913.4
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Scopus EID | 2-s2.0-85135035718
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Data Source | Scopus
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Citation statistics |
Cited Times [WOS]:0
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Document Type | Conference paper |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/365057 |
Department | Southern University of Science and Technology |
Affiliation | 1.Department of Computer,Software Engineering Institute of Guangzhou,Guangzhou,51098,China 2.College of Computer Information and Engineering,Nanchang Institute of Technology,Nanchang,330044,China 3.Southern University of Science and Technology,Shenzhen,518000,China |
Recommended Citation GB/T 7714 |
Cai,Yu,Wu,Jiahao,Zaheer,Muhammad. Analysis the Research Hotspots and Key Technical of Intelligent Manufacturing[C],2022:342-349.
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