Young Jun Kim

Korea Institute of Science and Technology

Papers

Total Citations

H-Index

About

Young Jun Kim is a pioneering researcher in surgical robotics, with a focus on developing intelligent, minimally invasive systems for neurosurgery. His work centers on markerless surgical robotic systems and advanced path planning algorithms, aiming to reduce preparation times and enhance precision in critical procedures. Kim’s most cited paper, "Markerless surgical robotic system for intracerebral hemorrhage surgery" (2015, 10 citations), introduces a novel approach that eliminates the need for stereotactic frames, significantly streamlining emergency brain surgery. Building on this, his 2016 study "End-effector path planning and collision avoidance for robot-assisted surgery" (9 citations) addresses key challenges in safe, autonomous robotic movement within constrained anatomical spaces. Though his citation counts are modest, Kim’s contributions are highly impactful in the niche field of neurosurgical robotics, offering practical solutions to long-standing clinical bottlenecks. His work exemplifies how targeted engineering innovations can directly improve patient outcomes in time-sensitive surgeries, making him a notable figure in the intersection of robotics and medicine.