Leyong Jiang
Papers
2
Total Citations
172
H-Index
2
About
Leyong Jiang is a leading researcher in neuromorphic engineering and optoelectronics, specializing in bio-inspired sensory adaptation systems. His work bridges the gap between biological neural processing and artificial devices, with a focus on developing novel transistor architectures that emulate human visual and tactile adaptation. Jiang’s most cited paper (2021, 158 citations) introduced a groundbreaking photoelectric visual adaptation device using a 0D-CsPbBr₃ quantum dots/2D-MoS₂ mixed-dimensional heterojunction transistor, demonstrating how artificial systems can mimic the eye’s ability to adjust to varying light conditions—a critical survival mechanism in nature. More recently, his 2024 study on maskless femtosecond-laser-processed ionotronic double-gate transistor arrays (14 citations) achieved pattern adaptation emulation, advancing the creation of artificial sensory networks that can filter out repetitive stimuli, much like the human nervous system. These contributions have positioned Jiang at the forefront of neuromorphic computing, with potential applications in smart sensors, adaptive robotics, and brain-inspired electronics. His work not only deepens our understanding of biological adaptation but also paves the way for more efficient, lifelike artificial intelligence systems.
Research Focus
Key Achievements
Top Papers
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