Yin Cui

9 papers and 142 indexed citations
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About

Yin Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yin Cui has authored 9 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Yin Cui’s work include Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Human Pose and Action Recognition (3 papers). Yin Cui is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Human Pose and Action Recognition (3 papers). Yin Cui collaborates with scholars based in United States, China and France. Yin Cui's co-authors include Ming–Hsuan Yang, Serge Belongie, Franck Davoine, Xuhong Li, Hang Zhang, Yves Grandvalet, Jingchun Cheng, Boqing Gong, Yukun Zhu and Hang Qi and has published in prestigious journals such as IEEE Access, Image and Vision Computing and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Yin Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Yin Cui. A scholar is included among the top collaborators of Yin 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 Yin Cui. Yin Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Yin Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yin 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 Yin Cui. The network helps show where Yin Cui may publish in the future.

Countries citing papers authored by Yin Cui

Since Specialization
Citations

This map shows the geographic impact of Yin 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 Yin Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin Cui more than expected).

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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2026