Shangsen Xie

Papers

Total Citations

H-Index

About

Shangsen Xie is a researcher whose work sits at the intersection of rehabilitation robotics and sensor technology, with a focus on developing intelligent systems to aid clinical recovery. Xie’s most cited paper, “Sensor‐Based Exercise Rehabilitation Robot Training Method” (2023), proposes a novel training approach that integrates customized wearable sensors with universal mobile terminals. This work aims to streamline the process for rehabilitation doctors to design personalized patient recovery plans, offering a practical, hardware-driven solution to a common clinical challenge. Though early in its citation impact—garnering 3 citations—the paper signals a growing interest in accessible, sensor-driven rehabilitation tools. Xie’s contributions highlight a commitment to bridging engineering and healthcare, potentially improving outcomes for patients undergoing physical therapy. As the field of rehabilitation robotics expands, Xie’s research offers a foundation for more adaptive, data-informed treatment methods, making it a noteworthy reference for students and researchers exploring the integration of wearable technology into clinical practice.