Yaodong Cui

17 total papers · 760 total citations
10 papers, 476 citations indexed

About

Yaodong Cui is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Yaodong Cui has authored 10 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Yaodong Cui's work include Autonomous Vehicle Technology and Safety (3 papers), Video Surveillance and Tracking Methods (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). Yaodong Cui is often cited by papers focused on Autonomous Vehicle Technology and Safety (3 papers), Video Surveillance and Tracking Methods (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). Yaodong Cui collaborates with scholars based in Canada, China and Switzerland. Yaodong Cui's co-authors include Dongpu Cao, Daxin Tian, Ying Li, Ren Chen, Wenbo Chu, Long Chen, Guofa Li, Wenbo Li, Gang Guo and Guanzhong Zeng and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Affective Computing and IEEE Transactions on Intelligent Vehicles.

In The Last Decade

Yaodong Cui

8 papers receiving 463 citations

Hit Papers

Deep Learning for Image a... 2021 2026 2022 2024 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yaodong Cui 206 102 93 82 74 10 476
Yihan Hu 257 1.2× 161 1.6× 29 0.3× 86 1.0× 20 0.3× 7 454
Naty Hoffman 312 1.5× 19 0.2× 23 0.2× 63 0.8× 138 1.9× 14 551
Kunyu Peng 381 1.8× 56 0.5× 49 0.5× 79 1.0× 18 0.2× 34 542
Wang Feng 311 1.5× 39 0.4× 45 0.5× 114 1.4× 46 0.6× 30 445
Klaas Klasing 276 1.3× 62 0.6× 192 2.1× 229 2.8× 66 0.9× 10 552
Rohan Chandra 326 1.6× 65 0.6× 28 0.3× 80 1.0× 22 0.3× 19 472
Adams Wei Yu 316 1.5× 41 0.4× 53 0.6× 131 1.6× 55 0.7× 17 522
Bowen Pan 384 1.9× 64 0.6× 24 0.3× 94 1.1× 14 0.2× 30 546
Changshuo Wang 310 1.5× 14 0.1× 64 0.7× 34 0.4× 101 1.4× 29 537
Yikai Wang 259 1.3× 21 0.2× 25 0.3× 65 0.8× 50 0.7× 20 534

Countries citing papers authored by Yaodong Cui

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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