Zheng Tang

First Affiliated Hospital of Xi'an Jiaotong University, Southwest Medical University

Papers

Total Citations

H-Index

About

Zheng Tang is a researcher at the intersection of artificial intelligence and biomedical engineering, with key contributions in memristor-based neural systems and robotic surgery. His most-cited work, "Research progress of artificial neural systems based on memristors" (2023, 15 citations), provides a comprehensive review of how memristors—electronic components that mimic synaptic behavior—are revolutionizing neuromorphic computing. This paper has become a foundational reference for researchers exploring energy-efficient, brain-inspired hardware. Tang’s second highly cited paper, "The future of robotic pancreaticoduodenal surgery: a bibliometric analysis" (2023, 8 citations), demonstrates his versatility by applying data-driven methods to map trends in minimally invasive surgical robotics. By identifying key research clusters and emerging technologies, this work offers a roadmap for advancing precision in complex procedures like pancreaticoduodenectomy. Tang’s dual focus on hardware-level AI and clinical robotics highlights his ability to bridge fundamental science and translational medicine. His bibliometric approach to surgery underscores a commitment to evidence-based innovation, making his research valuable for both engineers and surgeons. With growing citation impact, Zheng Tang is establishing himself as a forward-thinking voice in AI-driven healthcare and neuromorphic engineering.