Ruichi Yu

8 papers and 656 indexed citations i.

About

Ruichi Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Ruichi Yu has authored 8 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Ruichi Yu’s work include Video Surveillance and Tracking Methods (5 papers), Advanced Neural Network Applications (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Ruichi Yu is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Advanced Neural Network Applications (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Ruichi Yu collaborates with scholars based in United States, United Kingdom and China. Ruichi Yu's co-authors include Larry S. Davis, Vlad I. Morariu, Mingfei Gao, Ching‐Yung Lin, Chun-Fu Chen, Xintong Han, Jui-Hsin Lai, Ang Li, Gang Yu and Shiyi Lan and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Ruichi Yu i

Fields of papers citing papers by Ruichi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ruichi Yu

Since Specialization
Citations

This map shows the geographic impact of Ruichi Yu'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 Ruichi Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruichi Yu 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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2025