Papers

2

Total Citations

175

H-Index

2

About

Xinlin Qing is a leading researcher in flexible sensor technology and intelligent robotics, whose work bridges advanced materials with autonomous systems. Her most influential contribution is the development of a flexible capacitive sensor using electrospun PVDF nanofiber membranes integrated with carbon nanotubes, a breakthrough published in 2019 that has garnered 147 citations. This innovation enables highly sensitive, durable pressure and strain sensing for applications in wearable electronics, soft robotics, and human-machine interfaces. In robotics, Qing introduced Stack-RRT*, a novel random tree expansion algorithm for smooth path planning (2023, 28 citations), addressing critical challenges in autonomous navigation by improving computational efficiency and trajectory quality. Her research has significant implications for next-generation prosthetics, smart textiles, and industrial automation. With a citation count reflecting growing recognition, Qing’s work exemplifies the convergence of materials science and robotics, offering practical solutions for real-world sensing and motion planning challenges. Her achievements position her as a rising authority in flexible electronics and autonomous systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
175
Total Citations
88
Avg Citations/Paper
🏆 Most Cited Paper
A flexible capacitive sensor based on the electrospun PVDF nanofiber membrane with carbon nanotubes
147 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Xiamen University, Northwestern Polytechnical University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago