Chejian Xu
- Automotive Engineering top 10%
- Artificial Intelligence
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Safety, Risk, Reliability and Quality
- Topics
- Adversarial Robustness in Machine Learning (3 papers)Autonomous Vehicle Technology and Safety (2 papers)Safety Systems Engineering in Autonomy (2 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsProceedings of the AAAI Conference on Artificial IntelligenceProceedings of the Thirty-First International Joint Conference on Artificial Intelligence
- Partner nations
- United StatesIndiaJamaica
In The Last Decade
Chejian Xu
5 papers receiving 170 citations
Hit Papers
Peers
Comparison fields: 5 of 35
- Automotive Engineering 95
- Artificial Intelligence 61
- Control and Systems Engineering 39
- Computer Vision and Pattern Recognition 26
- Safety, Risk, Reliability and Quality 24
Countries citing papers authored by Chejian Xu
This map shows the geographic impact of Chejian Xu'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 Chejian Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chejian Xu more than expected).
Fields of papers citing papers by Chejian Xu
This network shows the impact of papers produced by Chejian Xu. 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 Chejian Xu. The network helps show where Chejian Xu may publish in the future.
Co-authorship network of co-authors of Chejian Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Chejian Xu. A scholar is included among the top collaborators of Chejian Xu 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 Chejian Xu. Chejian Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 17 | |
| 3 | A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspectivebreakdown → | 119 |
| 4 | 20 | |
| 5 | 10 |
About Chejian Xu
Chejian Xu is a scholar working on Software, Safety, Risk, Reliability and Quality and Automotive Engineering, having authored 5 papers that have together received 174 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Safety Systems Engineering in Autonomy (2 papers). The work is most often cited by research in Automotive Engineering (95 citations), Software (21 citations) and Safety, Risk, Reliability and Quality (24 citations). Chejian Xu has collaborated with scholars based in United States, India and Jamaica. Frequent co-authors include Wenhao Ding, Mansur Arief, Bo Li, Ding Zhao, Bo Li, Bo Li, Jiawei Zhang, Boxin Wang, Zhenguang Liu and Lei Zhu. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
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.