Jiang Liu
Jinling Institute of Technology, Nanjing General Hospital of Nanjing Military Command, Southern University of Science and Technology, Institute for Infocomm Research, University of Nottingham Ningbo China, Nanjing University of Chinese Medicine, Ningbo Institute of Industrial Technology, Shenzhen Academy of Robotics, Beijing Institute of Technology, Chang'an University
Papers
17
Total Citations
217
H-Index
7
About
Jiang Liu is a multidisciplinary researcher whose work bridges surgical robotics, clinical oncology, and computer-assisted interventions. His research spans robotic-assisted surgery for gastrointestinal cancers, surgical skill learning systems, intravascular robotic interventions, and AI-driven image analysis for surgical guidance. Liu's most influential contribution—his 2016 prospective study on male urinary and sexual function following robotic pelvic autonomic nerve-preserving surgery for rectal cancer (105 citations)—established important clinical benchmarks for functional outcomes in minimally invasive colorectal surgery. His work on robotic gastrectomy, including novel techniques for gastrointestinal stromal tumors at challenging anatomical locations, further demonstrates his commitment to advancing oncological surgical precision. Beyond the operating room, Liu has made notable strides in surgical training technology, developing learning robot manipulators and active motor skill platforms for laparoscopic simulation that apply statistical and demonstration-based learning models. More recently, his team has pushed into AI-powered surgical perception, contributing a context-guided bidirectional attention network for instrument segmentation and guidewire endpoint detection for robot-assisted catheterization. His exploration of operator behavior prediction in intravascular interventions reflects a forward-thinking approach to human-robot collaboration. Collectively, Liu's body of work—spanning nearly 200 cumulative citations—positions him as a versatile innovator at the intersection of surgical technology and patient-centered outcomes.
Research Focus
Key Achievements
Top Papers
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- 4Mechanism of a Learning Robot Manipulator for Laparoscopic Surgical Training16 citations · 2012
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