Yihan Qiu

Fujian University of Technology

Papers

3

Total Citations

19

H-Index

3

About

Yihan Qiu is a rising innovator at the intersection of nanomaterials and intelligent sensing, whose work is redefining how soft devices perceive the physical world. Their research centers on developing dual-modal flexible sensors that integrate advanced materials—such as carbon nanotube hydrogels and MXene-bacterial cellulose composites—with neural network algorithms. This synergy enables unprecedented material perception, allowing sensors to simultaneously detect and differentiate between pressure, shape, and material properties. Qiu’s most cited work, a 2025 study on neural network-assisted carbon nanotube hydrogel sensors, has already garnered 8 citations, reflecting its immediate impact. A subsequent 2026 paper on MXene-based responsive materials for soft sensors and actuators further solidifies their leadership in this domain, with 6 citations. Notably, Qiu’s 2025 study on MXene-bacterial cellulose composites achieved 5 citations, demonstrating a consistent ability to produce high-impact, application-ready research. By bridging material science with artificial intelligence, Qiu is paving the way for next-generation soft robotics and human-machine interfaces, making their work essential reading for anyone interested in the future of smart, adaptive sensing technologies.

Research Focus

Key Achievements

3
H-Index
3
Papers
19
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Neural network-assisted carbon nanotube hydrogel-based dual-modal sensors for material perception
8 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Fujian University of Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago