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Analyzing Smart Textiles: A Bibliometric Analysis and Systematic Review
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Resumo(s)
Smart textiles, which integrate advanced materials and electronic components into fabrics, represent a rapidly evolving field with a wide range of applications, including healthcare, sports, and wearable technology. To objectively uncover the current state of research in the field of smart textiles, this paper employs the Bibliometrix and Biblioshiny software packages, as well as VOSviewer, to analyze a dataset of 9,313 documents indexed in the Scopus database, spanning from 1980 to the present. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were utilized to ensure a systematic and transparent approach in the selection and evaluation of the literature. The study identifies China and the United States as the most prolific countries, with China leading at 2,197 publications and the United States following with 1,614 publications. The top publication sources are ’ACS Applied Materials & Interfaces’ and ’Textile Research Journal’, indicating a broad interdisciplinary engagement in the field. The research field of Smart Textiles has demonstrated substantial growth, particularly since 2018, with an average annual growth rate of 18.61% in publications. Leading institutions driving research include the Ministry of Education of the People’s Republic of China, Donghua University, and The Hong Kong Polytechnic University. Future research in smart textiles should focus on integrating deep learning, improving mechanical properties, utilizing 3D printing, enhancing performance capabilities, developing self-powered textiles with nanogenerators, and advancing personalized healthcare solutions. This thesis provides a detailed overview of the evolving landscape of Smart Textiles research, highlighting the main countries, sources, and institutions contributing to the field. The findings underscore the global collaboration and sustained interest that are propelling advancements in Smart Textiles, offering valuable insights for researchers, policymakers, and industry stakeholders engaged in this dynamic and rapidly expanding domain.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
Palavras-chave
Smart Textiles Bibliometric analysis Bibliometrix VOSviewer SDG 9 - Industry, innovation and infrastructure