Xing‐Qiu Chen

Chinese Academy of Sciences

Papers

1

Total Citations

169

H-Index

1

About

Xing-Qiu Chen is a leading figure in advanced optoelectronic materials and devices, with a primary focus on photodetectors and neuromorphic vision sensors. His most impactful work demonstrates a groundbreaking approach to integrating dual-mode functionality—photodetection and neuromorphic vision—within a single device by simply regulating bias voltage. This innovation, detailed in his highly cited 2023 paper (169 citations), overcomes the fundamental challenge of reconciling the speed discrepancies between photodetection and neuromorphic responses. By engineering a trench-bridged GaN/Ga₂O₃/GaN back-to-back double heterojunction architecture, Chen has paved the way for more compact, energy-efficient, and versatile vision systems. His contributions are shaping the future of intelligent imaging and sensing technologies, offering a scalable solution for next-generation artificial vision. With a growing citation record and a reputation for tackling complex device physics, Chen is recognized as a key innovator at the intersection of materials science and neuromorphic engineering.

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: Chinese Academy of Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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