Zheng-Yu Hoe

Tajen University

Papers

1

Total Citations

3

H-Index

1

About

Zheng-Yu Hoe is a pioneering researcher in rehabilitation robotics and intelligent biomechatronic systems, with a focus on developing adaptive assistive technologies for mobility-impaired individuals. His most cited work, "Integrated Lower Limb Robotic Orthosis with Embedded Highly Oriented Electrospinning Sensors by Fuzzy Logic-Based Gait Phase Detection and Motion Control" (2025), introduces a groundbreaking lower limb exoskeleton that integrates near-field electrospinning (NFES) piezoelectric sensors into an insole for real-time gait phase detection. By employing fuzzy logic control, this system enables seamless, intuitive motion assistance during rehabilitation, significantly enhancing user adaptability and comfort. This innovation bridges advanced materials science with robotic control, offering a scalable solution for personalized gait training. Hoe’s research has garnered early recognition, with 3 citations already reflecting its impact on the field. His work stands out for its interdisciplinary approach, combining sensor fabrication, biomechanics, and intelligent control to address critical challenges in robotic orthoses. As a rising scholar, Hoe’s contributions promise to shape the future of wearable rehabilitation technology, making mobility assistance more responsive and accessible for patients recovering from neurological or musculoskeletal impairments.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Integrated Lower Limb Robotic Orthosis with Embedded Highly Oriented Electrospinning Sensors by Fuzzy Logic-Based Gait Phase Detection and Motion Control
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Tajen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago