Mengye Ren

87 total papers · 4.7k total citations
16 papers, 994 citations indexed

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 16 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Automotive Engineering. Recurrent topics in Mengye Ren's work include Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (5 papers). Mengye Ren is often cited by papers focused on Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Multimodal Machine Learning Applications (5 papers). Mengye Ren collaborates with scholars based in Canada and United States. Mengye Ren's co-authors include Raquel Urtasun, Richard S. Zemel, Ryan Kiros, Wenyuan Zeng, Bin Yang, Bin Yang, Sivabalan Manivasagam, Roger Grosse, Aidan N. Gomez and Kelvin Wong and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Mengye Ren

16 papers receiving 951 citations

Author Peers

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

Author Last Decade Papers Cites
Mengye Ren 712 612 135 49 45 16 994
Fabio Galasso 682 1.0× 308 0.5× 109 0.8× 50 1.0× 43 1.0× 38 933
Jaume Amores 646 0.9× 291 0.5× 46 0.3× 59 1.2× 38 0.8× 23 990
Mingfei Gao 772 1.1× 533 0.9× 41 0.3× 49 1.0× 48 1.1× 28 1.2k
Zhongdao Wang 864 1.2× 309 0.5× 81 0.6× 82 1.7× 23 0.5× 14 1.1k
Jiyang Xie 542 0.8× 571 0.9× 34 0.3× 36 0.7× 63 1.4× 40 1.2k
Gigel Măceșanu 388 0.5× 413 0.7× 262 1.9× 87 1.8× 133 3.0× 7 1.0k
Karttikeya Mangalam 574 0.8× 331 0.5× 133 1.0× 35 0.7× 39 0.9× 17 851
Swarup Medasani 574 0.8× 164 0.3× 54 0.4× 42 0.9× 51 1.1× 21 1.0k
Feihu Zhang 400 0.6× 269 0.4× 103 0.8× 99 2.0× 31 0.7× 18 824
Tiberiu Cocias 385 0.5× 413 0.7× 261 1.9× 86 1.8× 132 2.9× 6 1.0k

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).

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.

Co-authorship network of co-authors of Mengye Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Mengye Ren. A scholar is included among the top collaborators of Mengye Ren 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 Mengye Ren. Mengye Ren 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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