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    Artificial intelligence in textile and fashion design: a bibliometric analysis
    (İdris Karagöz, 2026) Bulut, Selma; Mulayim, Beyza Buzol
    Textile and fashion design are among the disciplines where technological advancements are rapidly integrated, with artificial intelligence (AI) playing an increasingly vital role. AI-driven design software enhances fabric texture, color harmony, and pattern creation, while smart textiles and algorithms enable personalized clothing production. Additionally, AI-based analyses are being widely utilized in fashion trend forecasting and sustainable material development. Understanding the evolving research landscape in this field is crucial for future innovations. This study conducts a bibliometric analysis of 856 research articles on textile and fashion design published between 1980 and 2024. Using the Web of Science database and VOSviewer software, the study evaluates literature trends, influential studies, key authors, and emerging keywords. The results indicate that academic interest in this field peaked in 2024, with the most cited study being Dong, K.; Peng, X.; and Wang, ZL’s research on fiber- and fabric-based nanogenerators for wearable electronics and AI applications. China emerges as the leading contributor to AI-driven fashion research, while Chengkuo Lee stands out as a key figure in the field. Keyword analysis highlights strong associations with concepts such as machine learning, artificial intelligence, computer vision, deep learning, and convolutional neural networks. The shift in 2024 towards keywords like “electronic textiles,” “biomarkers,” and “LLM” (large language models) reflects the growing intersection of AI, intelligent materials, and wearable health technologies. These findings underscore the increasing importance of AI in shaping the future of textile and fashion design, necessitating interdisciplinary collaborations. Despite the study’s limitation of relying solely on the Web of Science database and not conducting content analysis, its findings provide a comprehensive overview of AI's evolving role in the sector. This research offers a valuable foundation for future studies, guiding researchers and industry professionals in leveraging AI technologies for innovative design, sustainable production, and enhanced consumer experiences.