Panpan Cai
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
-
- Advanced Combustion Engine Technologies
Papers in
-
- Autonomous Vehicle Technology and Safety 6
- Vehicle emissions and performance 4
-
- Robotic Path Planning Algorithms 9
- Co-authors
- David Hsu (8 shared papers)Yuanfu Luo (7 shared papers)Akira Inomata (3 shared papers)Yiyu Cai (3 shared papers)Jianmin Zheng (3 shared papers)C. Indhumathi (2 shared papers)Wee Sun Lee (4 shared papers)Dinesh Manocha (2 shared papers)
- Journals
- Fuel (4 papers)Physics Letters A (2 papers)Journal of the Energy Institute (2 papers)IEEE Robotics and Automation Letters (2 papers)Harmful Algae (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Panpan Cai
35 papers receiving 831 citations
Peers
Comparison fields: 5 of 102
- Automotive Engineering 205
- Fluid Flow and Transfer Processes 99
- Computer Vision and Pattern Recognition 184
- Building and Construction 106
- Statistical and Nonlinear Physics 72
Countries citing papers authored by Panpan Cai
This map shows the geographic impact of Panpan Cai'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 Panpan Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panpan Cai more than expected).
Fields of papers citing papers by Panpan Cai
This network shows the impact of papers produced by Panpan Cai. 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 Panpan Cai. The network helps show where Panpan Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Panpan Cai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 131 | |
| 2 | 2015 | 79 | |
| 3 | 1986 | 54 | |
| 4 | 2017 | 52 | |
| 5 | 2013 | 50 | |
| 6 | 2016 | 43 | |
| 7 | 1983 | 41 | |
| 8 | 2017 | 40 | |
| 9 | 2020 | 37 | |
| 10 | 2018 | 33 | |
| 11 | 2021 | 32 | |
| 12 | 2020 | 30 | |
| 13 | 2023 | 26 | |
| 14 | 2021 | 23 | |
| 15 | 2015 | 23 | |
| 16 | 2016 | 21 | |
| 17 | 2018 | 20 | |
| 18 | 2022 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2019 | 12 |
About Panpan Cai
Panpan Cai is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Fluid Flow and Transfer Processes, Biomedical Engineering and Materials Chemistry, having authored 35 papers that have together received 853 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Advanced Combustion Engine Technologies (9 papers), Autonomous Vehicle Technology and Safety (6 papers), Biodiesel Production and Applications (6 papers), Catalytic Processes in Materials Science (5 papers), Vehicle emissions and performance (4 papers), Evacuation and Crowd Dynamics (3 papers) and Metal and Thin Film Mechanics (2 papers). The work is most often cited by research in Automotive Engineering (205 citations), Fluid Flow and Transfer Processes (99 citations), Computer Vision and Pattern Recognition (184 citations), Building and Construction (106 citations) and Statistical and Nonlinear Physics (72 citations). Panpan Cai has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include David Hsu, Yuanfu Luo, Akira Inomata, Yiyu Cai, Jianmin Zheng, C. Indhumathi, Wee Sun Lee, Dinesh Manocha, Aniket Bera and Jing Zheng. Their work appears in journals such as Fuel, Physics Letters A, Journal of the Energy Institute, IEEE Robotics and Automation Letters and Harmful Algae.
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.