Papers

16

Total Citations

1,510

H-Index

12

About

Yuan Dai is a leading innovator in flexible electronics and intelligent tactile sensing, whose work is reshaping the future of robotic haptics and e-skin technology. His research centers on developing highly stable, high-performance pressure sensors and self-powered wireless sensing systems for robotics and healthcare applications. Dai’s major contributions include the creation of iontronic pressure sensors with unprecedented sensitivity and linear response over wide pressure ranges, achieved through soft micropillared electrodes and quasi-homogeneous material interfaces. His pioneering work on embedment of sensing elements has enabled robust, cross-talk–free iontronic skins, directly addressing the critical challenge of mechanical stability in multilayered e-skins. With over 1,400 citations from his top ten papers alone, Dai’s impact is substantial. Notably, his 2022 paper on highly stable flexible pressure sensors has garnered 401 citations, while his 2021 work on iontronic pressure sensors has 245 citations. He has also advanced tactile recognition with flexible triboelectric sensors for material and texture identification, and developed a paradigm-shifting self-powered long-distance wireless sensing solution based on discharge-induced displacement current. Dai’s work extends to robotic surgery, where he created a suture breakage warning system, and to adaptive control for wheel-legged robots, demonstrating the breadth of his contributions to both fundamental science and practical engineering.

Research Focus

Key Achievements

12
H-Index
16
Papers
1,510
Total Citations
94
Avg Citations/Paper
🏆 Most Cited Paper
Highly stable flexible pressure sensors with a quasi-homogeneous composition and interlinked interfaces
401 citations · 2022
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 123
🏛 Institutions: Tencent (China), University of California, Los Angeles, Xidian University, AstraZeneca (Germany)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago