Progress and trend analysis of digital twin based on CiteSpace

被引：0
|
作者：
Guo H. [1 ,2 ]
Feng Y. [2 ]
Ding N. [3 ]
Qu T. [1 ,2 ]
Chao B. [4 ]
机构：
[1] Institute of Physical Internet, Jinan University, Zhuhai
[2] School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai
[3] Guangzhou CreateView Education Technology Co., Ltd, Guangzhou
[4] School of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot
来源：
Feng, Yalei (fylenzo@163.com) | 1600年 / CIMS卷 / 26期
关键词：
CiteSpace software; Development trends; Digital twin; Knowledge graph; Research trends;
D O I：
10.13196/j.cims.2020.12.002
中图分类号：
学科分类号：
摘要：
Digital twin is a digital mapping technique that constructs simulation models to simulate the full life cycle process of a physical entity. This technology has broad application prospects in engineering, computer science, manufacturing engineering and other scientific fields. To comprehensively analyse the development trends and research trends of digital twin, the two databases of Web of Science and Google Scholar were searched and 7627 literatures on subject of "Digital twin" from 2000/01/01 to 2019/09/30 were summarized and analyzed statistically. The visual analysis software CiteSpace were used to conduct a series of knowledge map research, including the co-occurrence analysis and cluster analysis of the literature data. The results showed that the latest developments as the distribution of scholars at the national, institutional and research level, research cooperation, academic influence, research hotspots, and cutting-edge trends. Moreover, the results pointed out that future research should focus on development directions as sharing massive data, unifying modeling standards, innovating production practices and driving intelligent manufacturing. © 2020, Editorial Department of CIMS. All right reserved.
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页码：3195 / 3204
页数：9
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