RETRACTION: Knowledge map visualization of technology hotspots and development trends in China's textile manufacturing industry

IF 2.5 Q2 ENGINEERING, INDUSTRIAL
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引用次数: 0

Abstract

RETRACTION: R. Huang, P. Yan, X. Yang, “Knowledge Map Visualization of Technology Hotspots and Development Trends in China's Textile Manufacturing Industry,” IET Collaborative Intelligent Manufacturing 3, no. 3 (2021): 243–251, https://doi.org/10.1049/cim2.12024.

The above article, published online on 27 March 2021 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal's Editors-in-Chief, Liang Gao and Weiming Shen; the Institution of Engineering and Technology; and John Wiley & Sons Ltd.

The retraction has been agreed on after concerns about this manuscript were raised by a third party. An investigation revealed substantial flaws in the literature analysis presented. The methodical details are described insufficiently. Accordingly, the literature analysis results cannot be reproduced, and the conclusions are considered invalid.

The authors have been informed of the decision to retract.

返回:中国纺织制造业技术热点与发展趋势知识图谱可视化
退稿:R. Huang, P. Yan, X. Yang, "Knowledge Map Visualization of Technology Hotspots and Development Trends in China's Textile Manufacturing Industry," IET Collaborative Intelligent Manufacturing 3, no.3 (2021): 243-251, https://doi.org/10.1049/cim2.12024.The 上述文章于 2021 年 3 月 27 日在线发表于 Wiley Online Library (wileyonlinelibrary.com),经期刊主编高亮和沈伟明、工程与技术学会和 John Wiley & Sons Ltd.同意,已被撤稿。调查显示,所提供的文献分析存在重大缺陷。方法细节描述不足。因此,文献分析结果无法再现,结论被视为无效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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