Mingxing Wu

Sun Yat-sen University

Papers

1

Total Citations

2

H-Index

1

About

Dr. Mingxing Wu is pioneering the digital transformation of surgery, with a core focus on integrating artificial intelligence and robotics to enhance surgical precision and consistency. His most-cited work, "Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization" (2025), addresses a critical limitation in modern medicine: the heavy reliance on individual surgeon experience and visual judgment, which can lead to operational variability. Dr. Wu’s major contribution lies in developing frameworks that digitize surgical features, enabling AI-driven guidance and robotic assistance to augment human capabilities. This approach promises to reduce errors and standardize outcomes across procedures. With 2 citations already for this emerging work, his research is gaining traction for its potential to reshape surgical training and practice. By bridging the gap between traditional techniques and cutting-edge automation, Dr. Wu is laying the groundwork for a future where surgery is not only more accurate but also more accessible and reproducible, marking him as a key innovator in the field of surgical robotics and AI-assisted medicine.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago