Yichuan Wang

University of Sheffield, Kaohsiung Medical University, Auburn University

Papers

Total Citations

129

H-Index

About

Yichuan Wang is a multidisciplinary researcher whose work spans deep-sea engineering, neurorehabilitation, and disaster recovery informatics. His most cited paper, “Visual information processing for deep-sea visual monitoring system” (2021, 123 citations), addresses critical challenges in underwater mine detection by improving visual data processing for deep-sea mining systems—a vital contribution to marine resource extraction and environmental safety. In the field of rehabilitation engineering, Wang investigates robotic-assisted therapy for stroke survivors. His 2025 study on a powered hand exoskeleton for chronic stroke patients (3 citations) explores cost-effective solutions to restore upper limb function, targeting a common barrier to accessible neurorehabilitation. Earlier, Wang applied information technology to disaster management in his 2015 case study on RFID implementation for facility retrieval after hurricanes (3 citations), demonstrating how emerging technologies can streamline post-disaster recovery. By integrating computer vision, robotics, and information systems, Wang’s work bridges engineering innovation with real-world impact—from the ocean floor to clinical therapy and emergency response.