Shiwei Wang

Northeastern University, Guilin University of Technology

Papers

Total Citations

H-Index

About

Shiwei Wang is a rising researcher at the intersection of medical robotics and advanced computational geometry, whose work is shaping the future of orthopedic surgery and spatial data analysis. Wang’s primary research areas include ultrasonic bone cutting mechanics, surgical force sensing, and point cloud segmentation. In his most cited work, "Investigation of an indirect measurement method of ultrasonic bone cutting forces based on strain sensors" (2023, 11 citations), Wang addresses a critical challenge in robot-assisted orthopedic surgery: achieving real-time bone layer perception and cutting force control. By developing an indirect force measurement model using strain sensors, he provides a practical solution for safer, more precise ultrasonic osteotomy. Expanding on this, his 2024 study "Research on ultrasonic bone cutting mechanism based on extended finite element method" (10 citations) offers a novel computational framework to simulate and optimize cutting dynamics. Wang also contributes to 3D perception with "Adaptive Clustering for Point Cloud" (2024, 3 citations), which improves segmentation for large-scale scenes in remote sensing and robotics. Though early in his career, Wang’s integration of biomechanics and sensor-driven control is already influencing surgical robotics, with his citation trajectory signaling growing impact in both medical and engineering domains.