Chenlin Meng

13 papers and 273 indexed citations i.

About

Chenlin Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Chenlin Meng has authored 13 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Chenlin Meng’s work include Generative Adversarial Networks and Image Synthesis (4 papers), Model Reduction and Neural Networks (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Chenlin Meng is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Model Reduction and Neural Networks (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Chenlin Meng collaborates with scholars based in United States, China and Belgium. Chenlin Meng's co-authors include Stefano Ermon, David B. Lobell, Marshall Burke, Burak Uzkent, Kumar Ayush, Diederik P. Kingma, Ruiqi Gao, Robin Rombach, Jonathan Ho and Tim Salimans 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 Chenlin Meng i

Fields of papers citing papers by Chenlin Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chenlin Meng

Since Specialization
Citations

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