Papers
3
Total Citations
33
H-Index
3
About
Xiaofeng Qiao’s research lies at the intersection of rehabilitation robotics, human motor control, and bibliometric science, with a focus on advancing both the technology and the understanding of robot-assisted therapy. Her most cited work, a bibliometric study published in 2023 (21 citations), maps two decades of global research on rehabilitation robots, revealing key trends and interdisciplinary patterns that guide future innovation. She further explores the design of robotic tasks that induce visuomotor conflict to assess proprioceptive acuity—a critical tool for diagnosing sensory deficits in patients with nerve injuries. By quantifying how humans rely on proprioception when visual and motor inputs clash, Qiao’s work directly informs the development of more effective, personalized rehabilitation protocols. Her contributions are notable for bridging engineering, clinical neuroscience, and data-driven analysis, offering a comprehensive view of the field’s evolution. With a growing citation footprint and a focus on both technological design and patient assessment, Qiao is shaping the next generation of intelligent rehabilitation systems that restore movement and sensory function.
Research Focus
Key Achievements
Top Papers
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