Papers
10
Total Citations
437
H-Index
8
About
Huipeng Chen is a pioneering researcher at the forefront of neuromorphic electronics and intelligent sensory systems. His work centers on creating artificial nervous systems that mimic biological multisensory integration, particularly combining haptic and iconic perception. Chen's major contributions include developing self-powered, high-sensitivity sensory memory devices actuated by triboelectric nanogenerators for real-time neuromorphic computing, with his most-cited paper on this topic garnering 136 citations. He has also advanced stretchable triboelectric nanogenerators capable of both stretch-insensitive and stretch-sensitive sensing, and low-voltage solution-processed artificial neurons using 2D MXene for multi-task spiking neural networks. His bioinspired motion sensory systems for rotation recognition and rapid self-protection, along with neuromorphic display systems for intelligent displays, demonstrate the breadth of his impact. With over 400 total citations across his top papers, Chen's work on intrinsically healing artificial neuromorphic devices and artificial morality transistors pushes the boundaries of bioinspired robotics and neural prosthetics. His recent exploration of multimodal perception systems with optical feedback highlights his ongoing commitment to advancing human-computer interaction and intelligent display technologies.
Research Focus
Key Achievements
Top Papers
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- 6Neuromorphic display system for intelligent display38 citations · 2022
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- 8An intrinsically healing artificial neuromorphic device13 citations · 2020
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