Papers

5

Total Citations

385

H-Index

5

About

Jianshi Tang is a leading researcher in flexible electronics, neuromorphic computing, and robotic sensing systems. His work has been instrumental in advancing electronic skin (e-skin) technology, with his 2018 paper on large-area, high-performance flexible pressure sensors using carbon nanotube active matrices accumulating over 220 citations. This foundational work demonstrated key metrics like mechanical flexibility, low-voltage operation, and rapid response, paving the way for artificial tactile sensing. Tang further extended this impact with a 2022 study on large-scale integrated flexible tactile sensor arrays for smart robotic touch, cited more than 125 times, addressing the critical gap in robotic tactile perception compared to vision. Beyond sensing, he has contributed to adaptive control systems for robots, such as the wheel-legged robot Ollie, using data-driven approaches to maintain performance amid dynamic conditions. Tang has also made notable strides in nonvolatile memory, developing an error-free 64KB ReRAM-based nvSRAM integrated with a microcontroller for real-time program storage, and in biomimetic devices, creating a multigate neuromorphic transistor that emulates biological nociceptors for hazard detection. His interdisciplinary work bridges materials, devices, and robotics, earning him recognition as a key innovator in next-generation intelligent systems.

Research Focus

Key Achievements

5
H-Index
5
Papers
385
Total Citations
77
Avg Citations/Paper
🏆 Most Cited Paper
Large-Area High-Performance Flexible Pressure Sensor with Carbon Nanotube Active Matrix for Electronic Skin
220 citations · 2018
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 47
🏛 Institutions: IBM Research - Thomas J. Watson Research Center, Tsinghua University, Center for Information Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago