Papers

4

Total Citations

51

H-Index

3

About

Junekyung Lee is a rehabilitation medicine researcher whose work centers on robot-assisted gait training and neurorehabilitation, with a particular focus on improving functional recovery in stroke patients. Through a series of rigorous randomized controlled trials, Lee has systematically examined how end-effector and exoskeleton-type lower limb rehabilitation robots can enhance gait recovery and cortical neuroplasticity in both subacute and chronic stroke populations. A landmark 2021 study, which has garnered 17 citations, employed functional near-infrared spectroscopy to demonstrate measurable changes in cortical activation following robot-assisted training — providing crucial neurophysiological evidence for mechanisms underlying motor recovery. Complementary work published in 2022 and 2023 explored the comparative efficacy of various robotic training modes and confirmed meaningful clinical benefits over conventional physiotherapy alone, collectively accumulating over 30 citations across those studies. Particularly innovative is Lee's investigation into biometric data-driven intensity control for robotic gait training, moving the field toward personalized, objective dosing rather than reliance on therapist judgment. Together, these contributions position Lee as an emerging authority in evidence-based robotic rehabilitation, advancing both the scientific understanding and clinical application of technology-driven stroke recovery.

Research Focus

Key Achievements

3
H-Index
4
Papers
51
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
End-effector lower limb robot-assisted gait training effects in subacute stroke patients: A randomized controlled pilot trial
18 citations · 2023
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Ulsan College, Hallym University Dongtan Sacred Heart Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago