Ts. Lee Jian Aun

Universiti Sains Malaysia

Papers

1

Total Citations

4

H-Index

1

About

Ts. Lee Jian Aun is a researcher whose work centers on computational pathfinding, robotics, and autonomous navigation, with a particular focus on optimizing grid-based search algorithms. His major contribution lies in the comparative analysis of classical pathfinding methods—such as A*, Dijkstra’s, and Breadth-First Search—against novel incremental line search techniques, demonstrating how the latter can achieve significant efficiency gains without sacrificing solution quality. His most-cited paper, "Efficient Pathfinding on Grid Maps: Comparative Analysis of Classical Algorithms and Incremental Line Search" (2025), has already garnered 4 citations, reflecting its timely relevance to fields like game development and autonomous systems. This work not only benchmarks established algorithms but also introduces a practical alternative for real-time applications, where computational speed is critical. Lee’s research bridges theory and application, offering clear insights for engineers and developers tackling navigation challenges. His achievements highlight a commitment to advancing algorithmic efficiency, making his work a valuable resource for students and researchers exploring pathfinding optimization in dynamic environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Efficient Pathfinding on Grid Maps: Comparative Analysis of Classical Algorithms and Incremental Line Search
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Universiti Sains Malaysia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago