Papers

4

Total Citations

61

H-Index

4

About

Yi Shang is a versatile computer scientist whose research spans information retrieval, robotics, and intelligent systems. His work on automatic performance comparison of search engines, his most-cited contribution with 31 citations, introduced novel methodologies for objectively benchmarking search technologies — a significant advancement during the pivotal early years of the web search era. Shang has made substantial contributions to robotics, particularly in the domain of modular self-reconfigurable robots, where he pioneered a constraint-based control framework that elegantly addresses the complexities of distributed, dynamically structured systems. This work, which cast robot control as a constraint satisfaction problem, offered a generalizable and theoretically rigorous approach applicable across a range of hyper-redundant robotic platforms. His continued engagement with path planning, evidenced by recent work integrating Probabilistic Road Maps with Bézier curve smoothing and Lyapunov-based controllers, demonstrates a sustained commitment to advancing autonomous navigation. With research spanning over two decades and citations reflecting cross-disciplinary influence, Shang represents a steady intellectual presence at the intersection of artificial intelligence, robotics, and computational systems — making his work valuable reading for students exploring these converging fields.

Research Focus

Key Achievements

4
H-Index
4
Papers
61
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A new method for automatic performance comparison of search engines
31 citations · 2000
📈 Most Prolific Year: 2000 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Missouri, Palo Alto Research Center, Minzu University of China

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago