Jiaxi Tang

Papers

1

Total Citations

6

H-Index

1

About

Dr. Jiaxi Tang is a leading researcher in neurorehabilitation and assistive robotics, with a primary focus on developing quantitative, technology-driven methods for assessing motor impairments after stroke. Her most cited work, "A Practical Post-Stroke Elbow Spasticity Assessment Using an Upper Limb Rehabilitation Robot: A Validation Study" (2022, 6 citations), addresses a critical challenge in clinical practice: the subjective and often imprecise nature of traditional spasticity evaluation. By integrating a rehabilitation robot with sensor-based measurements, Dr. Tang’s research provides a validated, objective framework for assessing velocity-dependent hypertonia—a common and debilitating post-stroke condition. This contribution not only enhances diagnostic accuracy but also paves the way for personalized, robot-assisted therapy protocols. Her work bridges engineering and clinical neuroscience, demonstrating how robotic systems can serve as both therapeutic tools and precise measurement instruments. Dr. Tang’s research is particularly impactful for students and clinicians in rehabilitation engineering, offering a reproducible, data-driven alternative to manual assessments. With a growing citation record, she is establishing herself as a key innovator in the intersection of robotics, biomechanics, and stroke rehabilitation, advancing the goal of more effective, individualized neurorecovery.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A Practical Post-Stroke Elbow Spasticity Assessment Using an Upper Limb Rehabilitation Robot: A Validation Study
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago