Mengye Ren

18 papers and 999 indexed citations i.

About

Mengye Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Mengye Ren has authored 18 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Automotive Engineering. Recurrent topics in Mengye Ren’s work include Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Autonomous Vehicle Technology and Safety (6 papers). Mengye Ren is often cited by papers focused on Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Autonomous Vehicle Technology and Safety (6 papers). Mengye Ren collaborates with scholars based in Canada, United States and Israel. Mengye Ren's co-authors include Richard S. Zemel, Raquel Urtasun, Ryan Kiros, Wenyuan Zeng, Bin Yang, Andrei Pokrovsky, Bin Yang, Aidan N. Gomez, Roger Grosse and Sivabalan Manivasagam 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 Mengye Ren i

Fields of papers citing papers by Mengye Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mengye Ren

Since Specialization
Citations

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