Zhaoqiang Zheng

Guangdong University of Technology

Papers

1

Total Citations

8

H-Index

1

About

Zhaoqiang Zheng is a rising researcher in neuromorphic computing and bio-inspired electronics, with a focus on developing artificial sensory systems that mimic biological nociceptors—the neural pathways responsible for pain detection. His most cited work, "An artificial optoelectronic nociceptor based on In₂S₃ memristor" (2021), has garnered 8 citations and represents a significant step toward integrating optoelectronic sensing with memristive devices. By engineering an In₂S₃-based memristor that emulates the threshold-switching and adaptation behaviors of biological nociceptors, Zheng has contributed foundational knowledge for next-generation neuromorphic systems. His research bridges materials science and neural engineering, offering potential applications in humanoid robots, artificial visual sensors, and advanced prosthetics that require real-time hazard detection. Though early in his career, Zheng’s work demonstrates a clear trajectory toward creating more lifelike and responsive artificial nervous systems, positioning him as a promising voice in the growing field of neuromorphic hardware.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
An artificial optoelectronic nociceptor based on In<sub>2</sub>S<sub>3</sub> memristor
8 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Guangdong University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago