Lizhi Feng

Foshan University

Papers

1

Total Citations

169

H-Index

1

About

Lizhi Feng is pioneering the convergence of photodetection and neuromorphic computing, with a focus on advanced optoelectronic materials and device architectures. Her most impactful work introduces a dual-mode photodetector and neuromorphic vision sensor (NVS) achieved through bias voltage regulation on a single GaN/Ga₂O₃/GaN heterojunction device—a breakthrough that overcomes the fundamental speed discrepancy between these two functions. This innovation, published in 2023 and already garnering 169 citations, demonstrates her ability to solve complex integration challenges in next-generation sensing and computing. Feng’s research bridges the gap between traditional photodetectors and bio-inspired vision systems, offering a pathway toward more efficient, compact hardware for artificial visual perception. Her work is highly influential in the fields of wide-bandgap semiconductors, neuromorphic engineering, and intelligent optoelectronics. By enabling a single device to seamlessly switch between high-speed detection and adaptive synaptic behavior, Feng is shaping the future of smart sensors and edge computing technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
169
Total Citations
169
Avg Citations/Paper
🏆 Most Cited Paper
Dual‐Mode Conversion of Photodetector and Neuromorphic Vision Sensor via Bias Voltage Regulation on a Single Device
169 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Foshan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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