Papers
3
Total Citations
35
H-Index
3
About
Xiong Chen is a pioneering researcher whose work bridges two seemingly distinct domains: robotic surgery and intelligent robotic systems. In surgery, Chen has made transformative contributions to hepatobiliary procedures, particularly through a landmark multicenter study comparing robotic versus open hepatectomy for large hepatocellular carcinoma. This work, cited 20 times, demonstrated that robotic approaches can achieve benefits even in complex, large-tumor cases, challenging conventional surgical limits. Chen also advanced the field of hepatic cystic echinococcosis treatment by integrating the Da Vinci Xi system with indocyanine green fluorescence imaging, achieving superior precision in pericystectomy. In parallel, Chen tackles fundamental challenges in robotics and logistics, developing deep reinforcement learning strategies for the Online 3D Bin Packing Problem—a core challenge for intelligent palletizing robots. This work, cited 11 times, has practical implications for warehouse automation. With a dual focus on clinical outcomes and algorithmic innovation, Chen exemplifies translational research, where surgical robotics and AI-driven automation converge to solve real-world problems. Their work continues to shape both operating room practices and industrial robotics, making them a distinctive voice at the intersection of medicine and engineering.
Research Focus
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