Andrew Liang

University of California San Diego

Papers

1

Total Citations

22

H-Index

1

About

Andrew Liang is a forward-thinking researcher whose work sits at the intersection of autonomous systems and urban micro-mobility. His most cited paper, "Autonomous vehicles for micro-mobility" (2021, 22 citations), explores the integration of self-driving technology into small-scale, shared transportation solutions—a critical area for sustainable city planning. Liang’s contributions help bridge the gap between long-held visions of autonomous driving, dating back to early 20th-century predictions, and the practical, compact vehicles needed for last-mile travel today. By focusing on micro-mobility, he addresses pressing challenges in congestion, emissions, and urban accessibility. Though his citation count is still growing, Liang’s work is notable for its timely and interdisciplinary approach, drawing from robotics, transportation engineering, and human-centered design. His research is particularly relevant for students and scholars interested in how autonomous technology can be scaled down and deployed in dense, real-world environments. As cities increasingly look to micro-mobility solutions, Liang’s insights offer a roadmap for safer, smarter, and more efficient urban transit systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous vehicles for micro-mobility
22 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of California San Diego

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago