Chenxi Liu
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Safety, Risk, Reliability and Quality top 5%
- Building and Construction top 10%
- Artificial Intelligence
- Co-authors
- Shuyang ChengBenjamin CaineScott EttingerCharles R. QiBen SappZoey YangYuning ChaiYin Zhou
- Topics
- Traffic and Road Safety (2 papers)Air Quality and Health Impacts (1 paper)Sharing Economy and Platforms (1 paper)
- Cited by
- Automotive EngineeringSafety, Risk, Reliability and QualityComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Intelligent Transportation SystemsApplied SciencesClinical Neurology and Neurosurgery
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Chenxi Liu
5 papers receiving 343 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Automotive Engineering 233
- Computer Vision and Pattern Recognition 119
- Safety, Risk, Reliability and Quality 81
- Building and Construction 71
- Artificial Intelligence 71
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-authorship network of co-authors of Chenxi Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Chenxi Liu. A scholar is included among the top collaborators of Chenxi Liu 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 Chenxi Liu. Chenxi Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Datasetbreakdown → | 300 |
| 4 | 26 | |
| 5 | 23 | |
| 6 | 1 |
About Chenxi Liu
Chenxi Liu is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Transportation, having authored 6 papers that have together received 354 indexed citations. Recurring topics across this work include Traffic and Road Safety (2 papers), Air Quality and Health Impacts (1 paper) and Sharing Economy and Platforms (1 paper). The work is most often cited by research in Automotive Engineering (233 citations), Safety, Risk, Reliability and Quality (81 citations) and Computer Vision and Pattern Recognition (119 citations). Chenxi Liu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Shuyang Cheng, Benjamin Caine, Scott Ettinger, Charles R. Qi, Ben Sapp, Zoey Yang, Yuning Chai, Yin Zhou, Jiquan Ngiam and Vijay Vasudevan. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Applied Sciences and Clinical Neurology and Neurosurgery.
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.