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Journals / Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2026 / Cilt: 9 Sayı: 3

AI Enabled Smart Textiles: A Bibliometric and Thematic Analysis

Yapay Zekâ Destekli Akıllı Tekstiller: Bibliyometrik ve Tematik Bir Analiz

Beyza Buzol Mulayim(Kırklareli Üniversitesi)0000-0001-5224-3934
Selma Bulut(Kırklareli Üniversitesi)0000-0002-6559-7704
Pages
1373–1403
Publication Date
2026-06-16
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings reveal a sharp increase in publications after 2018, with China (258 publications) and the United States (209 publications) leading global scientific output.

📌 3 Key Takeaways

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Objective & Hypothesis:The integration of artificial intelligence (AI) into smart textiles has created new opportunities in wearable technology, enabling real-time monitoring, personalized feedback, and enhanced functionality across domains such as healthcare, sports, and environmental sensing.
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Key Findings & Data:This study conducts a comprehensive bibliometric and thematic analysis of the AI-enabled smart textile literature published between 2015 and 2025 in the Web of Science (WoS) database.
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Conclusion & Impact:The findings reveal a sharp increase in publications after 2018, with China (258 publications) and the United States (209 publications) leading global scientific output.
🔬Design:Modeling & Simulation
📍Scope:2015 Verileri
⚙️Variables:Akıllı tekstiller · Yapay zeka · Giyilebilir sensörler

Abstract

The integration of artificial intelligence (AI) into smart textiles has created new opportunities in wearable technology, enabling real-time monitoring, personalized feedback, and enhanced functionality across domains such as healthcare, sports, and environmental sensing. However, challenges related to power management, durability, and data privacy have kept most of these technologies at the prototype stage. This study conducts a comprehensive bibliometric and thematic analysis of the AI-enabled smart textile literature published between 2015 and 2025 in the Web of Science (WoS) database. A total of 970 publications were examined, with bibliometric mapping performed using VOSviewer 1.6.20 and qualitative content analysis applied to the 20 most-cited articles. The findings reveal a sharp increase in publications after 2018, with China (258 publications) and the United States (209 publications) leading global scientific output. Research trends predominantly focus on health monitoring, activity recognition, wearable sensor optimization, and deep learning-based anomaly detection. Thematic analysis identified eight primary research clusters, and the results highlight the transformative potential of AI-integrated smart textiles in sustainability, health monitoring, and personalized care, paving the way for the transition from laboratory prototypes to real-world applications.

Özet

Yapay zekânın (YZ) akıllı tekstillere entegrasyonu, giyilebilir teknolojilerde gerçek zamanlı izleme, kişiselleştirilmiş geri bildirim ve gelişmiş işlevsellik sunarak sağlık, spor ve çevresel izleme gibi alanlarda yeni fırsatlar yaratmaktadır. Ancak enerji yönetimi, dayanıklılık ve veri gizliliği gibi zorluklar nedeniyle bu teknolojiler çoğunlukla prototip aşamasında kalmaktadır. Bu çalışma, 2015 2025 yılları arasında Web of Science (WoS) veri tabanında yayımlanan YZ destekli akıllı tekstillere ilişkin literatürü bibliyometrik ve tematik açıdan analiz etmektedir. Toplam 970 yayının incelendiği araştırmada, VOSviewer 1.6.20 ile bibliyometrik analiz yapılmış, atıf sayısına göre seçilen 20 makale ise nitel içerik analizine tabi tutulmuştur. Bulgular, 2018 sonrası yayın sayısında hızlı bir artış olduğunu, özellikle Çin (258 yayın) ve ABD’nin (209 yayın) alanda öncü konumda bulunduğunu ve çalışmaların ağırlıklı olarak sağlık takibi, aktivite tanıma, giyilebilir sensör optimizasyonu ve derin öğrenme tabanlı anomali tespiti üzerine yoğunlaştığını göstermektedir. Tematik analiz sonucunda sekiz temel araştırma odağı belirlenmiş olup, elde edilen bulgular YZ destekli akıllı tekstillerin sürdürülebilirlik, sağlık izleme ve kişiselleştirilmiş bakım alanlarında yüksek dönüştürücü potansiyele sahip olduğunu ortaya koymaktadır.

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Cite This Article

Mulayim, B. B., Bulut, S. (2026). AI Enabled Smart Textiles: A Bibliometric and Thematic Analysis. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 9 Sayı: 3, 1373–1403. https://doi.org/10.47495/okufbed.1759447

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