Keren Ye

10 papers and 165 indexed citations i.

About

Keren Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Keren Ye has authored 10 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Keren Ye’s work include Multimodal Machine Learning Applications (8 papers), Video Analysis and Summarization (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Keren Ye is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Video Analysis and Summarization (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Keren Ye collaborates with scholars based in United States and Switzerland. Keren Ye's co-authors include Adriana Kovashka, Mingda Zhang, Christopher Thomas, Xiaozhong Zhang, Jesse Berent, Danfeng Qin, Yonghui Wu, Peyman Milanfar, Junjie Ke and Feng Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Keren Ye i

Fields of papers citing papers by Keren Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Keren Ye

Since Specialization
Citations

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