Papers

2

Total Citations

8

H-Index

2

About

Zongjiang Qin is a researcher at the forefront of soft robotics and biomedical sensing, with a primary focus on developing advanced tactile sensors for artificial skin. His major contributions lie in the innovative application of electrical impedance tomography (EIT) to create flexible, biocompatible tactile sensors. By fabricating soft polyurethane rubber channels filled with aqueous solutions, Qin’s work enables real-time visualization of pressure distribution, a critical step toward mimicking human touch in prosthetic and robotic systems. His most cited paper (2022, 5 citations) establishes a foundational method for EIT-based artificial skin, while a related 2021 study (3 citations) further refines this approach. Though his citation counts are modest, Qin’s research is notable for its novelty in integrating EIT with soft materials, offering a scalable and cost-effective path to high-resolution tactile sensing. His work holds promise for applications in human-machine interfaces, rehabilitation robotics, and next-generation prosthetics, positioning him as an emerging contributor to the field of soft electronics and sensory systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Fabrication of a tactile sensor for artificial skin based on electrical impedance tomography
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Nanjing University of Aeronautics and Astronautics

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago