Papers

2

Total Citations

16

H-Index

2

About

Hongzhan Lv is a rising researcher at the forefront of intelligent control systems and biomedical engineering, with a primary focus on magnetorheological (MR) damping technologies and human motion analysis. His pioneering work addresses the critical challenge of real-time, data-driven control for MR dampers—devices essential for vibration suppression in robotics, automotive NVH, and smart structures. In his highly cited 2022 study, Lv developed a novel prediction-control system model that bridges the gap between structural excitation and intelligent damper response, enabling more precise and adaptive force modulation. This contribution has garnered 10 citations, establishing a foundation for next-generation semi-active control systems. Expanding into biomechatronics, Lv’s 2025 research on lower limb joint angle estimation using surface electromyography (sEMG) signals represents a significant step toward intuitive prosthetic control and rehabilitation robotics. With 6 citations in its first year, this work demonstrates his ability to translate complex physiological signals into actionable kinematic predictions. Lv’s dual expertise in smart materials and neural-machine interfaces positions him as a versatile innovator, whose research holds promise for safer vehicles, more responsive robots, and life-changing assistive devices.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Data-driven prediction-control system modeling for magnetorheological damping force
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Ministry of Education of the People's Republic of China, Donghua University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago