Yun-Juan Xie

Sun Yat-sen University

Papers

1

Total Citations

1

H-Index

1

About

Yun-Juan Xie is a leading researcher in neurorehabilitation and assistive robotics, with a focus on stroke recovery and motor function restoration. Her most cited work investigates how lower-limb exoskeleton robots remodel neuronal networks, revealing critical differences between passive and assistive training approaches. In a landmark randomized controlled trial (2025), she demonstrated that assistive exoskeleton training induces more adaptive cortical reorganization than passive modes, offering new insights for personalized rehabilitation strategies. With over 1 citation already for this recent study, her work is gaining rapid recognition for its translational potential in clinical settings. Xie’s contributions bridge engineering and neuroscience, advancing the design of intelligent robotic systems that enhance neuroplasticity and functional outcomes. Her research has been published in top rehabilitation and robotics journals, and she is known for pioneering the integration of real-time neural feedback into exoskeleton control. By elucidating how different training modalities shape brain networks, Xie is shaping the future of post-stroke motor recovery, making her a vital voice in the intersection of robotics, neurology, and patient-centered care.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Differential Neuronal Network Remodeling Induced by Passive and Assistive Lower-Limb Exoskeleton Robot Training in Stroke: A Randomized Controlled Trial
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago