Xiangjun Xing

Guangdong University of Technology

Papers

1

Total Citations

17

H-Index

1

About

Xiangjun Xing is a leading researcher in flexible electronics and self-powered sensing systems, with a focus on multimodal sensors for physiological monitoring and human-robot collaboration. Their most-cited work, "A flexible self-powered multimodal sensor with low-coupling temperature, pressure and humidity detecting for physiological monitoring and human-robot collaboration" (2025, 17 citations), introduces a groundbreaking sensor that decouples multiple environmental stimuli—temperature, pressure, and humidity—into distinct, low-interference signals. This innovation addresses a critical challenge in wearable technology: the cross-sensitivity that often plagues multimodal sensors. By enabling simultaneous, accurate detection of these parameters without complex signal processing, Xing’s design enhances real-time health tracking and adaptive robotic interfaces. The sensor’s self-powered capability, leveraging triboelectric or piezoelectric principles, eliminates the need for external batteries, making it ideal for continuous, unobtrusive monitoring. This work has already garnered attention for its potential in prosthetics, smart textiles, and human-machine interaction, positioning Xing as a key contributor to the next generation of intelligent, energy-autonomous wearable systems. Their research bridges materials science, device engineering, and application-driven design, promising transformative impacts on healthcare and robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
A flexible self-powered multimodal sensor with low-coupling temperature, pressure and humidity detecting for physiological monitoring and human-robot collaboration
17 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Guangdong University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago