Papers

18

Total Citations

418

H-Index

11

About

Jinyang Gao is a pioneering researcher in medical robotics, with a specialized focus on wireless-powered capsule robots for minimally invasive gastrointestinal exploration. His work sits at the intersection of biomedical engineering, wireless power transmission, and micro-robotics, where he has made substantial contributions to advancing autonomous capsule endoscopy beyond passive pill cameras. Gao's most celebrated contributions include the development of motor-driven capsule robots featuring inchworm and clamper-based locomotion mechanisms, enabling active navigation through the complex, compliant terrain of the intestinal tract. His early landmark work on a compact Φ13mm × 42mm inchworm-driven capsule robot (2015, 73 citations) established foundational design principles that continued to shape the field. He has also pioneered sophisticated wireless power transmission solutions, including a double-layer Helmholtz coil design (2023, 53 citations) and systems capable of stable power delivery despite unpredictable capsule orientation changes (2022, 42 citations) — historically a critical engineering challenge. With over 350 cumulative citations across his top papers alone, Gao's research has had a demonstrable impact on the medical robotics community. His consistent innovation in power management, locomotion analysis, and coil optimization has meaningfully advanced the feasibility of next-generation diagnostic capsule robots in clinical settings.

Research Focus

Key Achievements

11
H-Index
18
Papers
418
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Design and Testing of a Motor-Based Capsule Robot Powered by Wireless Power Transmission
73 citations · 2015
📈 Most Prolific Year: 2015 (6 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Shanghai Jiao Tong University, North University of China, Dalian Jiaotong University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago