Xinjiang Wu
Papers
1
Total Citations
34
H-Index
1
About
Xinjiang Wu is a leading researcher in the field of neuromorphic computing and advanced semiconductor devices, with a particular focus on oxide-based memristors for artificial synapses and sensory systems. His most-cited work, an oxide-based bilayer ZrO₂/IGZO memristor, demonstrates a significant contribution to mimicking biological learning behaviors, including synaptic plasticity and artificial nociceptor functions. By fabricating these memristors using 45-nm CMOS technology on Si/SiO₂ substrates, Wu bridges the gap between emerging neuromorphic hardware and industry-standard manufacturing processes. His research has garnered substantial attention, with his top-cited paper accumulating 34 citations, reflecting its impact on the development of energy-efficient, brain-inspired computing. Wu’s innovative approach to integrating artificial synapses with CMOS compatibility positions him as a key figure in advancing next-generation AI hardware, offering promising pathways for scalable, low-power neural networks and sensory processing systems.
Research Focus
Key Achievements
Top Papers
- 1