Knowledge mapping of protective clothing research—a bibliometric analysis based on visualization methodology

Abstract

In order to further understanding of the research status and fronts, a novel method was adopted in the textile and apparel field to perform knowledge mapping of protective clothing research over the last 20 years. The database of 1735 articles was built based on records retrieved from the Web of Science. Visualization software, CiteSpace, combined with Google Earth was applied to determine intellectual basis and research fronts for the protective clothing domain. Research area analysis indicated that the top ranked field was the “Materials Science” with a number of articles of 427. Publication distribution revealed that the Textile Research Journal was the most popular cited and citing journal of the protective clothing articles. The USA and China were the two primary countries contributing to the protective clothing research evidenced by the frequency, bursts and centrality. Donghua University, North Carolina State University and the University of Alberta, with a high publication frequency and centrality, were identified to be the main research drivers. The intensity of red nodes in the geographical visualization map proved the core status of Europe and America in the global cooperation network. According to the co-occurrence analysis, the three keywords of exposure, performance and heat stress were detected to be the most popular research topics over the last 20 years, corresponding to the study of exposure environment, performance evaluation and thermal physiology. The keywords in recent years suggested the research trend of enhancing the mechanism and fundamental investigation of the heat transfer process and fabrics.

Knowledge map visualization of technology hotspots and development trends in China’s textile manufacturing industry

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Advancements in Rumor Detection Research Based on Bibliometrics and S-curve Technology Evolution Theory

“…At the same time, it is necessary to use certain wildcards to ensure the completeness of the articles, such as ''$'' and ''*'', where ''$'' stands for zero or one character, and ''*'' represents any character group, including empty characters (C. Chen et al, 2012;Song et al, 2016). After excluding one piece of articles from 2004 that does not belong to the topic of ''rumor identification'' from the final retrieved articles data set, a total of 983 pieces of articles between 2017 and 2023 are retained as the articles samples for this study (Tian & Li, 2019;Xie, 2015).…”

Study on preparation of conductive yarn and its application in wearable electronics

“…Wearable electronics with superior performance usually require tough materials to ensure their durability and stability. Compared to traditional electronics, textile materials are well suited for the development of future wearable electronics due to their softness, deformability, breathability, durability, washability, low cost and high skin-friendliness to meet the normal activities of the human body [2]. As yarn-like electronic materials are easier to integrate into wearable devices and offer excellent structural flexibility, they are essential basic components in wearable electronic systems.…”