Yaodong Cui
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 10%
- Environmental Engineering top 10%
- Aerospace Engineering
- Computational Mechanics top 10%
- Co-authors
- Dongpu CaoDaxin TianRen ChenWenbo ChuYing LiLong ChenGuofa LiGang Guo
- Topics
- Autonomous Vehicle Technology and Safety (3 papers)Emotion and Mood Recognition (2 papers)Video Surveillance and Tracking Methods (2 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Affective ComputingIEEE Transactions on Intelligent Vehicles
- Partner nations
- CanadaChinaSwitzerland
In The Last Decade
Yaodong Cui
8 papers receiving 482 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 212
- Automotive Engineering 102
- Environmental Engineering 97
- Aerospace Engineering 84
- Computational Mechanics 76
Countries citing papers authored by Yaodong Cui
This map shows the geographic impact of Yaodong Cui'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 Yaodong Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaodong Cui more than expected).
Fields of papers citing papers by Yaodong Cui
This network shows the impact of papers produced by Yaodong Cui. 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 Yaodong Cui. The network helps show where Yaodong Cui may publish in the future.
Co-authorship network of co-authors of Yaodong Cui
This figure shows the co-authorship network connecting the top 25 collaborators of Yaodong Cui. A scholar is included among the top collaborators of Yaodong Cui 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 Yaodong Cui. Yaodong Cui 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 | 0 | |
| 3 | 22 | |
| 4 | 4 | |
| 5 | 49 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Reviewbreakdown → | 336 |
| 9 | 70 | |
| 10 | 13 |
About Yaodong Cui
Yaodong Cui is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 10 papers that have together received 496 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (3 papers), Emotion and Mood Recognition (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Geology (73 citations), Computer Vision and Pattern Recognition (212 citations) and Automotive Engineering (102 citations). Yaodong Cui has collaborated with scholars based in Canada, China and Switzerland. Frequent co-authors include Dongpu Cao, Daxin Tian, Ren Chen, Wenbo Chu, Ying Li, Long Chen, Guofa Li, Gang Guo, Wenbo Li and Amir Khajepour. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Affective Computing and IEEE Transactions on Intelligent Vehicles.
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.