Qinjun Zhang

Jiangsu University

Papers

1

Total Citations

10

H-Index

1

About

Dr. Qinjun Zhang is a leading innovator in the field of neuromorphic optoelectronics, with a focused expertise in developing ultralow-power, flexible synaptic devices for brain-inspired computing. His most-cited work introduces a groundbreaking near-infrared (NIR) carbon nanotube optoelectronic synaptic transistor that achieves exceptional selectivity at ~850 nm. This device represents a major contribution to the field by enabling highly efficient optical computing and real-time trajectory tracking, addressing critical needs in night monitoring and robotic vision systems. With 10 citations already for this recent 2025 publication, Dr. Zhang’s research demonstrates immediate impact by combining flexible electronics with neuromorphic functionality. His achievements showcase a path toward more energy-efficient, biologically realistic artificial synapses that can process visual information with unprecedented selectivity and low power consumption—a vital step for next-generation intelligent systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Ultralow‐Power Highly‐Selective Near‐Infrared (≈850 nm) Carbon Nanotube Flexible Optoelectronic Synaptic Transistors for Real‐Time Trajectory Tracking
10 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Jiangsu University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago