Chenxi Liu
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
- Transportation and Mobility Innovations
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- Traffic and Road Safety
Papers in
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- Transportation and Mobility Innovations 2
- Vehicle emissions and performance 1
- Advanced Battery Technologies Research 1
- Autonomous Vehicle Technology and Safety 1
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- Traffic and Road Safety 2
- Co-authors
- Scott Ettinger (1 shared paper)Pei Sun (1 shared paper)Jonathon Shlens (1 shared paper)Benjamin Caine (1 shared paper)Shuyang Cheng (1 shared paper)Zoey Yang (1 shared paper)Alexander P. McCauley (1 shared paper)Charles R. Qi (1 shared paper)
- Journals
- Applied Sciences (1 paper)Frontiers of Computer Science (1 paper)Clinical Neurology and Neurosurgery (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Chenxi Liu
6 papers receiving 380 citations
Chenxi Liu's Hit Papers
Peers
Comparison fields: 5 of 52
- Automotive Engineering 254
- Safety, Risk, Reliability and Quality 82
- Computer Vision and Pattern Recognition 138
- Building and Construction 76
- Transportation 27
Countries citing papers authored by Chenxi Liu
This map shows the geographic impact of Chenxi Liu'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 Chenxi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenxi Liu more than expected).
Fields of papers citing papers by Chenxi Liu
This network shows the impact of papers produced by Chenxi Liu. 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 Chenxi Liu. The network helps show where Chenxi Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenxi Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Hit paper breakdown → | 2021 | 335 |
| 2 | 2021 | 26 | |
| 3 | 2021 | 25 | |
| 4 | 2022 | 3 | |
| 5 | 2020 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2020 | 1 |
About Chenxi Liu
Chenxi Liu is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality, Building and Construction, Transportation and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 394 indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (2 papers), Smart Parking Systems Research (2 papers), Traffic and Road Safety (2 papers), Vehicle emissions and performance (1 paper), Advanced Battery Technologies Research (1 paper), Catalytic Processes in Materials Science (1 paper), Autonomous Vehicle Technology and Safety (1 paper) and Sharing Economy and Platforms (1 paper). The work is most often cited by research in Automotive Engineering (254 citations), Safety, Risk, Reliability and Quality (82 citations), Computer Vision and Pattern Recognition (138 citations), Building and Construction (76 citations) and Transportation (27 citations). Chenxi Liu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Scott Ettinger, Pei Sun, Jonathon Shlens, Benjamin Caine, Shuyang Cheng, Zoey Yang, Alexander P. McCauley, Charles R. Qi, Jiquan Ngiam and Yin Zhou. Their work appears in journals such as Applied Sciences, Frontiers of Computer Science, Clinical Neurology and Neurosurgery, IEEE Transactions on Intelligent Transportation Systems and Lecture notes in computer science.
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.