Research progress of intelligent textile and clothing products based on CiteSpace
In order to reveal the research status, hotspots and trends of smart textile and apparel, the relevant literature in CNKI and WOS database from 2012 to 2022 were used as research objects, and CiteSpace visual analysis software was used to draw the knowledge map, analyse the distribution status and c...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of XPU
2024-02-01
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| Series: | Xi'an Gongcheng Daxue xuebao |
| Subjects: | |
| Online Access: | http://journal.xpu.edu.cn/en/#/digest?ArticleID=1431 |
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| Summary: | In order to reveal the research status, hotspots and trends of smart textile and apparel, the relevant literature in CNKI and WOS database from 2012 to 2022 were used as research objects, and CiteSpace visual analysis software was used to draw the knowledge map, analyse the distribution status and cooperation of the smart textile and apparel field in terms of countries, institutions, authors, and to sort out the research hotspots and cutting-edge trends. The results show that from 2012 to 2022, the number of CNKI database publications increases steadily, the number of WOS database publications grows rapidly, and the number of articles published by Chinese scholars ranks first in the world; Cooperation intensity in CNKI database is low and mainly based on Donghua university and Jiangnan university. While its counterpart in WOS has a close cooperative relationship, high research concentration and cooperation intensity; CNKI database's research focuses more on applications and design patterns, while WOS database focuses more on electronic component manufacturing and the development of smart fibers and fabrics. Health detection, colour-changing texture, bionic design, biomaterials and wearable strain are the current hotspots at the forefront of the field, while electronic component manufacturing, smart fibre and fabric intelligence research are the hotspots and trends for future research. |
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| ISSN: | 1674-649X |