Bibliometric Analysis of Artificial Intelligence in Textiles.

Area of Science:

• Textile Science
• Computer Science
• Data Science

Background:

• Comprehensive research documentation is crucial for scientific advancement.
• The application of artificial intelligence (AI) in the textile industry is an emerging research area.
• A bibliometric analysis provides a quantitative overview of research trends and influential contributions.

Purpose of the Study:

• To conduct the first descriptive bibliometric analysis of artificial intelligence in textiles.
• To identify influential journals, institutions, and countries in this research field.
• To map the diverse research topics within artificial intelligence in textiles.

Main Methods:

• A systematic literature search was performed on the Web of Science Core Collection.
• 996 articles published between 2007 and 2020 were analyzed.
• VOSviewer software was utilized for bibliometric mapping and analysis.

Main Results:

• China and the United States lead in publication volume in AI for textiles.
• Donghua University and Jiangnan University are the most prolific institutions.
• Key research themes include textile structure, textile inspection, and textile clothing production.

Conclusions:

• This study provides a foundational understanding of AI in textiles research.
• It identifies key players and dominant research areas, guiding future investigations.
• The findings are expected to benefit researchers and industry professionals across multiple disciplines.