Min Jin Chong

18 total papers · 455 total citations
8 papers, 190 citations indexed

About

Min Jin Chong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Min Jin Chong has authored 8 papers receiving a total of 190 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 Cognitive Neuroscience. Recurrent topics in Min Jin Chong's work include Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Neural Network Applications (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Min Jin Chong is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Neural Network Applications (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Min Jin Chong collaborates with scholars based in United States, Jamaica and Hong Kong. Min Jin Chong's co-authors include David Forsyth, Jiajun Lu, Aditya Deshpande, Kaizhao Liang, Jingen Liu, Bo Li, Abhishek Kumar, Bo Li, Brent Berry and Gregory A. Worrell and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Min Jin Chong

7 papers receiving 180 citations

Author Peers

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

Author						Papers	Cites
Min Jin Chong	150	42	20	18	13	8	190
Yanze Wu	191 1.3×	51 1.2×	12 0.6×	58 3.2×	22 1.7×	5	266
Gihyun Kwon	189 1.3×	52 1.2×	15 0.8×	42 2.3×	9 0.7×	10	225
Erika Lu	235 1.6×	59 1.4×	10 0.5×	22 1.2×	12 0.9×	9	263
Nisha Huang	172 1.1×	40 1.0×	7 0.3×	57 3.2×	22 1.7×	8	217
Haozhi Huang	230 1.5×	27 0.6×	12 0.6×	44 2.4×	37 2.8×	15	270
Kun Xu	160 1.1×	31 0.7×	18 0.9×	14 0.8×	4 0.3×	8	205
S. Sclaroff	185 1.2×	23 0.5×	22 1.1×	4 0.2×	7 0.5×	6	221
Dong Chen	125 0.8×	19 0.5×	22 1.1×	11 0.6×	6 0.5×	11	201
Xiaotian Qiao	247 1.6×	28 0.7×	42 2.1×	48 2.7×	7 0.5×	11	288
Yao Sun	230 1.5×	52 1.2×	10 0.5×	6 0.3×	13 1.0×	17	260

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).

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.

Co-authorship network of co-authors of Min Jin Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Min Jin Chong. A scholar is included among the top collaborators of Min Jin Chong 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 Min Jin Chong. Min Jin Chong 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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