Papers

10

Total Citations

2,209

H-Index

9

About

Tianyiyi He is a pioneering researcher at the intersection of wearable electronics, triboelectric nanotechnology, and artificial intelligence-driven sensing systems. His work has fundamentally advanced the development of flexible, self-powered sensors and human-machine interfaces, positioning him as a leading voice in the rapidly evolving landscape of IoT-enabled healthcare and smart technologies. He's most recognized contributions include landmark review articles on wearable electronics and AI-enabled sensing, which have collectively garnered over 1,000 citations, reflecting their outsized influence on the field. His 2020 review on wearable electronics and photonics (639 citations) has become an essential reference for researchers navigating healthcare monitoring, soft robotics, and human-machine interaction. Complementing this, his 2022 work bridging AI, 5G, and digital twin technologies (437 citations) demonstrates a forward-looking vision connecting physical sensing with virtual intelligence frameworks. A recurring theme across He's portfolio is triboelectric nanogenerators as self-powered wearable sensors — enabling gait analysis, robotic control, and multi-parameter motion capture without external power sources. His textile-integrated and patch-based sensor systems exemplify elegant minimalist design philosophy. Spanning from microfluidic tactile sensors to BodyNET healthcare architectures, He's research consistently pushes wearable technology toward practical, intelligent, and human-centered applications.

Research Focus

Key Achievements

9
H-Index
10
Papers
2,209
Total Citations
221
Avg Citations/Paper
🏆 Most Cited Paper
Progress in wearable electronics/photonics—Moving toward the era of artificial intelligence and internet of things
639 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: National University of Singapore, Suzhou Research Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago