Papers

2

Total Citations

14

H-Index

2

About

Min Jiang is a researcher whose work spans two distinctly diverse fields: advanced optoelectronic devices and robotic manufacturing processes. In the realm of semiconductor photonics, Jiang has made a notable contribution through the development of a graphene/(Al,Ga)N nanowire heterojunction — an innovative dual-mode transparent device capable of 360° quasi-omnidirectional self-driven photodetection while simultaneously functioning as a neuromorphic computing element. This pioneering work, which has already garnered 11 citations since its 2025 publication, addresses the long-standing challenge of monolithically integrating photodetectors and synaptic devices, with promising implications for ultralow-power artificial intelligence hardware. Jiang has also contributed to the field of advanced manufacturing, specifically Robotic Fibre Placement (RFP), where their 2017 research tackled the critical problem of path optimization for open-contoured composite structures, providing theoretical guidance for improving lay-up accuracy and composite quality. Together, these contributions reflect a researcher comfortable operating at the intersection of materials science, device physics, and precision engineering — demonstrating both breadth of expertise and a commitment to solving practical, high-impact manufacturing and technology challenges.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
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 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Science and Technology of China, University of Chinese Academy of Sciences

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago