Ling Jie Cheng

National University of Singapore, Khoo Teck Puat Hospital

Papers

Total Citations

H-Index

About

Ling Jie Cheng is a leading researcher at the intersection of rehabilitation robotics and human-robot interaction, with a primary focus on developing assistive technologies for clinical populations. Her most impactful work centers on robot-assisted neurorehabilitation, where she has systematically demonstrated the efficacy of robotic training for upper limb recovery after stroke. Her landmark 2022 meta-regression, cited 58 times, provided critical evidence that robot-assisted distal training significantly improves dexterity and functional outcomes, offering a rigorous framework for optimizing rehabilitation protocols. Beyond stroke recovery, Cheng has pioneered the application of humanoid robots in pediatric healthcare, as shown in her 2020 systematic scoping review on diabetes management interventions for children. This work, with 30 citations, opened new avenues for using socially assistive robots to improve self-care and emotional well-being in young patients. Her research is distinguished by its methodological rigor and translational impact, bridging engineering innovation with evidence-based clinical practice. Cheng’s contributions are shaping the future of personalized, technology-driven rehabilitation and pediatric care.