Papers

9

Total Citations

183

H-Index

7

About

Yulong Wang is a prominent researcher specializing in rehabilitation robotics, neurological recovery, and assistive technologies for individuals affected by stroke and spinal cord injury. With a career spanning over a decade, Wang has made substantial contributions to the design, clinical evaluation, and implementation of robotic systems aimed at restoring motor and locomotor function in neurologically impaired patients. Wang's early work focused on developing innovative hardware solutions, including multi-degree-of-freedom ankle rehabilitation robots and finger-wrist training devices, establishing a strong foundation in assistive device engineering. This technical expertise evolved into large-scale clinical investigation, most notably through rigorous randomized controlled and multi-center trials evaluating exoskeletal robots such as BEAR-H1 and the Ai-robot system. His 2021 study on robot-assisted gait training in subacute stroke patients has garnered 51 citations, reflecting its significant influence on rehabilitation practice. His 2022 prospective cross-over trial examining exoskeleton safety for spinal cord injury rehabilitation further demonstrates his commitment to patient-centered, evidence-based innovation. Beyond robotics, Wang has explored complementary interventions, including scalp acupuncture for post-stroke motor recovery, and has contributed to cloud-integrated rehabilitation platforms. Collectively, his work bridges engineering and clinical medicine, meaningfully advancing the field of neurorehabilitation.

Research Focus

Key Achievements

7
H-Index
9
Papers
183
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Effect of Robot Assisted Gait Training on Motor and Walking Function in Patients with Subacute Stroke: A Random Controlled Study
51 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 72
🏛 Institutions: Shenzhen Second People's Hospital, Shenzhen University, South China University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago