Papers

2

Total Citations

12

H-Index

2

About

Yong-Chong Loh is a pioneering figure in the field of robotic skull-base surgery, with a focused research career dedicated to advancing surgical precision through image-guided robotic systems. His primary contributions lie in developing compliant surgical planning methodologies for hexapod-based manipulators, enabling safer and more accurate bone removal in complex cranial procedures. Loh’s most-cited work, “Image-guided manipulator compliant surgical planning methodology for robotic skull-base surgery” (2002, 10 citations), introduces a navigation and planning station that integrates manipulator kinematics with patient-specific geometry to optimize surgical trajectories. His earlier study, “Hexapod Intervention Planning for a Robotic Skull-Base Surgery System” (2001, 2 citations), laid foundational principles for hexapod robot deployment in minimally invasive neurosurgery. Though his citation counts are modest, Loh’s research represents a critical early step in translating robotic assistance into high-stakes surgical environments, emphasizing safety and geometric compliance. His work has influenced subsequent generations of surgical robotics researchers, particularly in the design of path-planning algorithms for constrained anatomical spaces. Loh’s contributions underscore the importance of interdisciplinary collaboration between robotics and medicine, marking him as a quiet but impactful innovator in the evolution of computer-assisted surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Image-guided manipulator compliant surgical planning methodology for robotic skull-base surgery
10 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Nanyang Technological University, National Neuroscience Institute

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago