Qihang Yuan

Harbin University of Science and Technology

Papers

Total Citations

H-Index

About

Qihang Yuan is a researcher whose work bridges computational intelligence and biomedical engineering, with key contributions in metaheuristic optimization and medical robotics. His most cited paper, "A Modified Reptile Search Algorithm for Numerical Optimization Problems" (2022, 20 citations), addresses critical shortcomings in swarm-based algorithms—such as low population diversity and imbalanced exploration-exploitation—by enhancing the reptile search algorithm’s performance for complex numerical problems. This work has been foundational for researchers seeking robust optimization tools. In parallel, Yuan’s review "Image-guided prostate biopsy robots" (2023, 8 citations) tackles a pressing clinical challenge: the rising incidence of prostate cancer and the limitations of manual TRUS-guided biopsies. By systematically analyzing robotic systems for image-guided procedures, he highlights pathways to improve diagnostic accuracy and reduce invasiveness. With a citation count reflecting growing influence, Yuan’s dual focus on algorithmic innovation and practical medical applications demonstrates a commitment to solving real-world problems. His work not only advances computational methods but also directly supports early cancer diagnosis, making him a notable figure in both optimization and healthcare technology.