Min Jin Chong

7 papers and 245 indexed citations i.

About

Min Jin Chong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Min Jin Chong has authored 7 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Min Jin Chong’s work include Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Neural Network Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Min Jin Chong is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Advanced Neural Network Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Min Jin Chong collaborates with scholars based in United States. Min Jin Chong's co-authors include David Forsyth, Jiajun Lu, Aditya Deshpande, Jeffrey Zhang, Jingen Liu, Bo Li, Abhishek Kumar, Bo Li, Krishna Kumar Singh and Jingwan Lu 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 Min Jin Chong i

Fields of papers citing papers by Min Jin Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Jin Chong. 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 Min Jin Chong. The network helps show where Min Jin Chong may publish in the future.

Countries citing papers authored by Min Jin Chong

Since Specialization
Citations

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