Papers
8
Total Citations
195
H-Index
6
About
Wenming Wu is a leading figure in pancreatic surgery, with a career defined by pioneering the integration of robotic technology into complex abdominal procedures. His primary research areas include robotic pancreatectomy, surgical treatment of pancreatic cancer, and the application of artificial intelligence in the operating room. Wu’s most impactful contribution is his landmark 2013 systematic review and meta-analysis comparing robotic versus open pancreatectomy, which has garnered 95 citations and remains a foundational reference in the field. He has also driven large-scale, real-world evidence through his leadership in the China Pancreas Data Center, authoring a 2021 study analyzing surgical outcomes for pancreatic cancer across the nation. Demonstrating remarkable technical innovation, Wu has explored the use of convolutional neural networks for surgical tool recognition in endoscopic settings and has meticulously documented the learning curve for robot-assisted distal pancreatectomy based on over 300 cases at his center. His work on robotic enucleation for rare pediatric insulinoma and the combination of intraoperative ultrasonography with the Da Vinci system further highlights his commitment to advancing minimally invasive, precision surgery. With a growing citation impact and a forward-looking focus on AI-assisted surgery, Wenming Wu is shaping the future of pancreatic surgical oncology.
Research Focus
Key Achievements
Top Papers
- 1Robotic versus Open Pancreatectomy: A Systematic Review and Meta-analysis95 citations · 2013
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