Chenggang Li

People's Liberation Army No. 150 Hospital, Chinese People's Liberation Army, Chinese PLA General Hospital

Papers

Total Citations

H-Index

About

Chenggang Li is a pioneering surgical researcher whose work sits at the intersection of robotic hepatic surgery and artificial intelligence-assisted operative systems. Based on his most-cited publications, Li has made significant contributions to advancing minimally invasive liver surgery, with a particular focus on robotic hepatectomy techniques and their clinical implementation. Li's most impactful work includes a prospective cohort study examining the learning curves for robotic left and right hemihepatectomy (2020, 26 citations), which provided critical benchmarking data to help surgeons navigate the early stages of adopting robotic liver resection — a contribution of direct practical value to the global surgical community. His research on robotic hepatic resection in the postero-superior region of the liver (2020, 22 citations) further demonstrated the feasibility and safety of robotic approaches in technically challenging anatomical territories. More recently, Li has expanded into surgical artificial intelligence, exploring deep learning models for multilevel surgical workflow recognition in robotic procedures (2023). This forward-looking research positions him as a bridge between clinical surgery and computational medicine, working to make robotic operative systems smarter and more interpretable. His body of work reflects a consistent commitment to refining surgical precision and improving training standards in hepatobiliary surgery.