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About

Shixing Li is a researcher whose work spans the frontiers of intelligent systems and bariatric surgery, demonstrating a remarkable interdisciplinary reach. In the realm of cyber-physical-social systems (CPSS), Li proposed a groundbreaking framework for "Metaverses-Based Parallel Oil Fields," integrating human factors and virtual-real interaction to revolutionize traditional oil field management. This highly cited work (30 citations) offers a novel paradigm that extends beyond conventional smart oil fields by leveraging metaverse technologies for enhanced operational efficiency. Simultaneously, Li has made significant contributions to robotic bariatric surgery, particularly in evaluating the learning curve and clinical outcomes of robotic single-anastomosis duodenal–ileal bypass with sleeve gastrectomy (SADI-S). With studies accumulating over 20 citations, Li’s research provides critical insights into the safety, efficacy, and nutritional impact of this procedure in Chinese obese patients, helping to establish best practices and surgical benchmarks. Additionally, Li has explored the Internet of Things (IoT) through the design of autonomous, sensorial robots, showcasing a commitment to advancing intelligent device applications. This diverse body of work highlights Li’s ability to bridge complex engineering concepts with real-world medical and industrial challenges, making a tangible impact across multiple fields.