Lianghua Ma

Guangzhou Academy of Fine Arts

Papers

1

Total Citations

28

H-Index

1

About

Lianghua Ma is a researcher at the forefront of integrating artificial intelligence with fashion and textile design. Her work primarily explores how intelligent manufacturing and industrial robotics can transform the garment industry, bridging the gap between computational modeling and creative apparel development. Ma’s most cited paper, "Fusion Mode and Style Based on Artificial Intelligence and Clothing Design" (2021), has garnered 28 citations, establishing her as a key voice in AI-driven fashion innovation. In this influential study, she pioneered digital modeling techniques that enable the seamless fusion of algorithmic design with traditional clothing patterns and styles. Her research addresses the critical challenge of automating creative processes in fashion, offering practical frameworks for using AI to enhance both efficiency and aesthetic output. Ma’s contributions are particularly notable for their interdisciplinary approach, combining computer science, engineering, and design theory. As the fashion industry increasingly adopts smart manufacturing, her work provides foundational insights into how robots and AI can be leveraged for pattern generation, style analysis, and production optimization. For students and researchers interested in the future of fashion technology, Ma’s research represents a vital bridge between computational methods and tangible, wearable art.

Research Focus

Key Achievements

1
H-Index
1
Papers
28
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Fusion Mode and Style Based on Artificial Intelligence and Clothing Design
28 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Guangzhou Academy of Fine Arts

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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