Papers
3
Total Citations
153
H-Index
3
About
Xiangjing Wang is a leading researcher at the forefront of neuromorphic engineering, specializing in bio-inspired devices that mimic the human brain’s sensory and cognitive processes. His work centers on developing artificial neural circuits and photoelectric spiking neurons, with a particular focus on visual depth perception and emotional learning. Wang’s most influential contribution is his 2022 paper on a “Photoelectric Spiking Neuron for Visual Depth Perception,” which has garnered 138 citations—a testament to its impact on advancing energy-efficient visual processing systems that emulate the biological retina. He further innovated by designing an “Artificial fear neural circuit” using noise triboelectric nanogenerators and photoelectronic transistors, a pioneering step toward imbuing humanoid robots with instinctive threat detection and early-warning capabilities. Additionally, Wang has explored flexible neuromorphic transistors, creating freestanding multi-gate IZO-based devices on composite electrolyte membranes, which promise low-power, wearable computing. His interdisciplinary approach—merging materials science, electronics, and neuroscience—positions him as a key figure in the push toward intelligent, adaptive machines that operate with biological efficiency.
Research Focus
Key Achievements
Top Papers
- 1A Photoelectric Spiking Neuron for Visual Depth Perception138 citations · 2022
- 2
- 3