Shiping Yi

University of Minnesota

Papers

1

Total Citations

8

H-Index

1

About

Shiping Yi is a pioneering researcher in the field of smart materials and active textiles, with a particular focus on shape memory alloys (SMAs) integrated into knitted structures. Their most-cited work, a 2017 preliminary experimental study on the effect of shape setting on knitted SMA structures, has garnered 8 citations and laid critical groundwork for understanding how these materials can be programmed to produce tailored mechanical properties and complex, large-scale actuation motions. This foundational research directly addresses the challenge of creating active textiles that can change shape or stiffness on demand, enabling transformative applications in wearable technologies, soft robotics, medical devices, and adaptive clothing. By demonstrating how shape setting parameters influence the performance of SMA-integrated knits, Yi has provided a key methodology for engineers and designers seeking to harness the unique capabilities of smart materials. Their contributions are particularly notable for bridging materials science and textile engineering, offering a scalable pathway toward practical, responsive fabrics that could revolutionize assistive devices, patient rehabilitation, and human-machine interfaces. Yi's work continues to inspire further exploration into programmable textiles and their real-world deployment.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Preliminary Experimental Study of the Effect of Shape Setting on Knitted SMA Structures
8 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Minnesota

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago