Papers
2
Total Citations
43
H-Index
2
About
Xin Ji’s research bridges the gap between nanoscale materials engineering and bio-inspired artificial intelligence, with a focus on self-assembled nanostructures and neuromorphic sensory systems. In a pioneering 2014 study, Ji demonstrated how combining top-down and bottom-up fabrication methods can produce self-organized tubular structures that serve as platforms for luminescent CdSe-ZnS quantum dots—a breakthrough that has garnered 34 citations for its potential in creating complex, functional materials and devices. More recently, Ji has turned to the frontier of artificial olfactory memory, authoring a 2024 review that synthesizes progress in replicating biological perception for intelligent systems. This work, already cited 9 times, outlines how artificial olfactory memory can enhance robotic systems, wearable devices, and environmental adaptation technologies. By integrating materials science with cognitive computing, Ji’s contributions are shaping the next generation of smart, adaptive technologies.
Research Focus
Key Achievements
Top Papers
- 1Self-Organized Tubular Structures as Platforms for Quantum Dots34 citations · 2014
- 2