SouYoung Jin

8 papers and 157 indexed citations i.

About

SouYoung Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, SouYoung Jin has authored 8 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in SouYoung Jin’s work include Multimodal Machine Learning Applications (2 papers), Face recognition and analysis (2 papers) and Human Pose and Action Recognition (2 papers). SouYoung Jin is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Face recognition and analysis (2 papers) and Human Pose and Action Recognition (2 papers). SouYoung Jin collaborates with scholars based in United States, South Korea and Germany. SouYoung Jin's co-authors include Aruni RoyChowdhury, Liangliang Cao, Erik Learned-Miller, Ashish Singh, Huaizu Jiang, Aude Oliva, Alexander Liu, James Glass, Mathew Monfort and Rogério Feris and has published in prestigious journals such as Nature Communications, Computer Graphics Forum and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of SouYoung Jin i

Fields of papers citing papers by SouYoung Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by SouYoung Jin

Since Specialization
Citations

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