Yuanfu Luo
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Control and Systems Engineering top 10%
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- David HsuPanpan CaiWee Sun LeeAniket BeraDinesh ManochaHaoyu BaiMalika MeghjaniDaniela Rus
- Topics
- Autonomous Vehicle Technology and Safety (6 papers)Robotic Path Planning Algorithms (6 papers)Evacuation and Crowd Dynamics (3 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Journals
- The International Journal of Robotics ResearchIEEE Robotics and Automation LettersJournal of Renewable and Sustainable Energy
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Yuanfu Luo
10 papers receiving 259 citations
Peers
Comparison fields: 5 of 44
- Automotive Engineering 162
- Computer Vision and Pattern Recognition 137
- Artificial Intelligence 79
- Control and Systems Engineering 75
- Safety, Risk, Reliability and Quality 51
Countries citing papers authored by Yuanfu Luo
This map shows the geographic impact of Yuanfu Luo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuanfu Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanfu Luo more than expected).
Fields of papers citing papers by Yuanfu Luo
This network shows the impact of papers produced by Yuanfu Luo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuanfu Luo. The network helps show where Yuanfu Luo may publish in the future.
Co-authorship network of co-authors of Yuanfu Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Yuanfu Luo. A scholar is included among the top collaborators of Yuanfu Luo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuanfu Luo. Yuanfu Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 6 | |
| 3 | 29 | |
| 4 | 36 | |
| 5 | 12 | |
| 6 | 127 | |
| 7 | 27 | |
| 8 | Autonomous Driving among Many Pedestrians: Models and Algorithms. | 1 |
| 9 | 11 | |
| 10 | 8 |
About Yuanfu Luo
Yuanfu Luo is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 10 papers that have together received 272 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (6 papers), Robotic Path Planning Algorithms (6 papers) and Evacuation and Crowd Dynamics (3 papers). The work is most often cited by research in Automotive Engineering (162 citations), Computer Vision and Pattern Recognition (137 citations) and Safety, Risk, Reliability and Quality (51 citations). Yuanfu Luo has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include David Hsu, Panpan Cai, Wee Sun Lee, Aniket Bera, Dinesh Manocha, Haoyu Bai, Malika Meghjani, Daniela Rus, Guiying Lin and Haiping Yang. Their work appears in journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and Journal of Renewable and Sustainable Energy.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.