Papers

5

Total Citations

27

H-Index

3

About

Jianya Zhang is a pioneering researcher at the forefront of next-generation optoelectronics, specializing in self-powered photodetectors, neuromorphic computing, and humanoid robotics. His work centers on developing multifunctional nanowire-based devices that integrate photodetection and synaptic functions, addressing the critical challenge of merging conflicting requirements into single monolithic platforms. Zhang’s major contributions include demonstrating the first graphene/(Al,Ga)N nanowire heterojunction for quasi-omnidirectional self-driven photodetection and ultralow-power neuromorphic computing (2025, 11 citations), and creating a self-driven Ga₂O₃ memristor synapse that enables energy-efficient brain-inspired learning for humanoid robots (2024, 10 citations). He has also advanced self-powered ultraviolet photodetectors using GaN and (In,Ga)O nanowires, achieving practical control systems for robotic applications (2024–2025). With over 27 citations across his most-cited works, Zhang’s innovations in micro-LED integration and metal–organic framework enhancement are paving the way for ultralow-power, multifunctional devices that mimic biological neural networks. His research holds transformative potential for autonomous systems, smart sensors, and energy-efficient artificial intelligence.

Research Focus

Key Achievements

3
H-Index
5
Papers
27
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A dual-mode transparent device for 360° quasi-omnidirectional self-driven photodetection and efficient ultralow-power neuromorphic computing
11 citations · 2025
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Suzhou University of Science and Technology, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago