Papers

2

Total Citations

49

H-Index

2

About

Li Hua Jin is a clinical researcher specializing in pediatric rehabilitation, with a particular focus on robot-assisted gait training (RAGT) for children with cerebral palsy (CP). Their work sits at the intersection of technology and therapeutic intervention, advancing our understanding of how robotic systems can be harnessed to improve motor function and quality of life in one of childhood's most complex neurological conditions. Jin's most influential contribution, a 2020 single-blinded randomized cross-over trial examining RAGT's effectiveness on locomotor function and daily activity performance in children with CP, has accumulated 42 citations — a testament to its methodological rigor and clinical relevance in a field hungry for evidence-based guidance. Building on this foundation, Jin's 2024 randomized controlled study broke new ground by systematically comparing three different training intensities, offering clinicians practical, nuanced direction for optimizing RAGT protocols rather than simply confirming its general utility. Taken together, Jin's research addresses critical gaps in pediatric neurorehabilitation, providing the scientific community with robust data to guide treatment decisions. Their work is particularly valuable to clinicians, therapists, and researchers seeking evidence-based frameworks for integrating emerging robotic technologies into therapeutic practice for children with cerebral palsy.

Research Focus

Key Achievements

2
H-Index
2
Papers
49
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
The Effect of Robot-Assisted Gait Training on Locomotor Function and Functional Capability for Daily Activities in Children with Cerebral Palsy: A Single-Blinded, Randomized Cross-Over Trial
42 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Chungnam National University, Kunming Medical University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago