Lingjie Zhang
Papers
1
Total Citations
39
H-Index
1
About
Lingjie Zhang is a leading researcher in neurorehabilitation and assistive robotic technologies, with a primary focus on restoring mobility in individuals with spinal cord injury (SCI). Their work centers on evaluating and comparing the efficacy of robotic-assisted gait training (RAGT) systems, particularly Lokomat and wearable exoskeletons, to optimize locomotor recovery. Zhang’s major contribution includes a landmark 2022 systematic review and network meta-analysis that directly compared these two RAGT modalities—a critical gap in the field—demonstrating their relative impacts on walking function. This study, which has garnered 39 citations, provides evidence-based guidance for clinicians selecting rehabilitation interventions. By synthesizing data from multiple trials, Zhang has advanced understanding of how different robotic platforms influence gait outcomes, helping to tailor therapies to patient needs. Their research underscores a commitment to translating engineering innovations into practical rehabilitation solutions, making Zhang a key figure in the intersection of biomechanics, robotics, and clinical neuroscience. This work not only informs clinical practice but also shapes future device design and trial methodologies, solidifying Zhang’s influence on the trajectory of neurorehabilitation research.
Research Focus
Key Achievements
Top Papers
- 1