Yufang Jin

The University of Texas at San Antonio

Papers

2

Total Citations

5

H-Index

2

About

Yufang Jin is a researcher focused on assistive robotics and autonomous vehicle control, with key contributions in low-cost mobility solutions and nonlinear steering systems. Her work addresses critical challenges in accessibility and self-driving technology. In her most-cited paper, "A Vision-Based Low-Cost Power Wheelchair Assistive Driving System for Smartphones" (2022, 3 citations), Jin pioneered a smartphone-based approach that eliminates the need for expensive hardware or complex software, making power wheelchair operation more affordable and accessible for individuals with mobility impairments. This innovation has the potential to significantly improve quality of life for users worldwide. Additionally, her study "A Novel Steering Control for Car-Like Robots Based on Lyapunov Stability" (2019, 2 citations) introduced a nonlinear control law applicable to vehicles of any size, contributing to the advancement of self-driving car technology. By leveraging Lyapunov stability theory, Jin’s work offers a robust, scalable solution for autonomous navigation. Though her citation counts are modest, her research demonstrates a commitment to practical, cost-effective engineering that bridges assistive technology and autonomous systems, with clear implications for both healthcare and transportation sectors.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Vision-Based Low-Cost Power Wheelchair Assistive Driving System for Smartphones
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: The University of Texas at San Antonio

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago