Daoyu Wang

Fudan University

Papers

2

Total Citations

9

H-Index

2

About

Daoyu Wang is a pioneering researcher in rehabilitation robotics, with a focus on developing intelligent systems that restore mobility and promote neuroplasticity in patients with motor impairments. His work spans two critical domains: lower-limb rehabilitation for bedridden individuals and upper-limb therapy enhanced by human-machine interaction. Wang’s most cited paper, “Modeling and control of a bedside cable-driven lower-limb rehabilitation robot for bedridden individuals” (2023, 7 citations), addresses a pressing clinical need by designing a compact, cable-driven robot that enables in-ward rehabilitation for patients with acute neurological or limb disorders, eliminating the need for transport to physical therapy departments. This innovation directly tackles space constraints in hospital wards, offering a practical solution for early intervention. In his more recent work, “Gaze and Go: Harnessing Visual Attention Valence in Upper-Limb Robotic Rehabilitation With Tailored Gamification and Eye Tracking for Neuroplasticity” (2025, 2 citations), Wang integrates eye-tracking and gamification to harness visual attention, creating personalized therapy that enhances engagement and drives functional neuroplasticity. By merging robotic assistance with cognitive cues, he advances the frontier of patient-centered rehabilitation. With a growing citation impact, Wang’s contributions are shaping the future of accessible, adaptive robotic therapy for diverse patient populations.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and control of a bedside cable-driven lower-limb rehabilitation robot for bedridden individuals
7 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Fudan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago