Gong Cheng

Peking University, Union Hospital

Papers

2

Total Citations

24

H-Index

2

About

Gong Cheng is a pioneering researcher in the fields of wearable robotics and urological surgery, whose work bridges cutting-edge technology and clinical innovation. His primary research focuses on real-time human intent recognition for lower-limb assistive devices, where he developed a groundbreaking BPNN-based method for classifying six locomotion modes—including standing, walking, and navigating different terrains—enabling active pelvis orthoses to adapt seamlessly to user movements. This work, cited 22 times, has advanced the precision and responsiveness of robotic rehabilitation systems. Concurrently, Cheng has made significant contributions to minimally invasive urology, leading a multi-institutional study on robotic ureteroplasty with lingual mucosal graft for treating long proximal ureteral strictures. This novel technique offers a less morbid alternative to renal autotransplantation, with early results showing promising outcomes. His ability to drive innovation across disparate fields—from biomechatronics to reconstructive surgery—demonstrates a rare versatility. With his work gaining traction in both engineering and medical communities, Cheng is establishing himself as a transformative figure in assistive technology and surgical robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
BPNN-Based Real-Time Recognition of Locomotion Modes for an Active Pelvis Orthosis with Different Assistive Strategies
22 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Peking University, Union Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago