Lidan Wang

Zhongyuan University of Technology, Southwest University

Papers

Total Citations

311

H-Index

About

Lidan Wang is a pioneering researcher at the intersection of intelligent sensing, neuromorphic computing, and robotic control. Her work spans two transformative domains: developing self-powered wearable electronics and advancing memristor-based neural network architectures. In 2017, Wang introduced a highly sensitive, self-powered electronic skin using pressure-sensitive nanofiber woven fabric sensors—a breakthrough that has garnered over 200 citations for its potential in health monitoring and intelligent electronics. She has also made significant contributions to neuromorphic control systems, including a spintronic memristor-based neural network with radial basis functions for robotic manipulator control (87 citations), and a memristive CMAC-PID compound controller for real-time nonlinear tracking. Her research uniquely bridges hardware innovation with control theory, enabling more adaptive and energy-efficient robotic systems. Wang’s work is notable for its practical impact on wearable technology and intelligent automation, positioning her as a key figure in the development of next-generation bio-inspired and self-powered electronic systems.