Yujie Yan

Fuzhou University, Tan Kah Kee Innovation Laboratory, Beijing Institute of Optoelectronic Technology

Papers

Total Citations

190

H-Index

About

Yujie Yan is a pioneering researcher at the forefront of neuromorphic computing and intelligent bio-inspired electronics. Her work centers on developing self-powered, sensory-memory systems that mimic biological neural networks for real-time processing and display. Yan’s most impactful contribution is the creation of a self-powered, high-sensitivity sensory memory actuated by a triboelectric sensory receptor, enabling real-time neuromorphic computing—a breakthrough cited 99 times. She further advanced the field with a low-voltage, solution-processed artificial optoelectronic hybrid-integrated neuron using 2D MXene, achieving multi-task spiking neural network functionality (40 citations) and a neuromorphic display system for intelligent displays (38 citations). Notably, Yan also engineered an intrinsically healing artificial neuromorphic device (13 citations), demonstrating remarkable potential for self-repairing systems in bioinspired humanoid robots, neural prosthetics, and cybernetic devices. Her innovative integration of triboelectric, optoelectronic, and self-healing mechanisms positions her as a key figure in next-generation intelligent hardware, with her work bridging the gap between biological computation and artificial systems.