Papers

2

Total Citations

16

H-Index

2

About

Hong Shi is a pioneering researcher at the intersection of robotic surgery and orthopedic trauma, whose work is transforming how surgeons visualize and treat complex anatomical structures. Her primary research areas include robot-assisted minimally invasive surgery, surgical vessel localization, and advanced intraoperative imaging techniques. Shi’s most notable contribution is the development of a robust hybrid video motion magnification method for robotically surgical vessel localization, which addresses the critical challenge of sparing vessels and neurovascular bundles during endoscopic and robotic procedures—a problem long hindered by limited visual and tactile feedback. This work, published in 2021, has garnered 10 citations and represents a significant leap in enhancing surgical precision. More recently, her 2025 study on robot-assisted minimally invasive surgery for unstable pelvic fractures (6 citations) tackles the globally recognized difficulty of minimally invasive screw fixation, demonstrating how robotic technology can establish reliable screw pathways through precise fracture reduction. Shi’s research is particularly impactful for surgeons seeking to reduce inadvertent injuries and improve patient outcomes in high-stakes procedures. Her innovative fusion of motion magnification with robotic platforms positions her as a key figure in the next generation of computer-assisted surgery, where enhanced perception and automation converge to push the boundaries of what is surgically possible.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Robotically Surgical Vessel Localization Using Robust Hybrid Video Motion Magnification
10 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Fujian Medical University, Guangzhou University of Chinese Medicine

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago