Seung Jun Shin

About

Seung Jun Shin is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Seung Jun Shin has authored 42 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Seung Jun Shin’s work include Statistical Methods and Inference (16 papers), Advanced Statistical Methods and Models (10 papers) and Face and Expression Recognition (10 papers). Seung Jun Shin is often cited by papers focused on Statistical Methods and Inference (16 papers), Advanced Statistical Methods and Models (10 papers) and Face and Expression Recognition (10 papers). Seung Jun Shin collaborates with scholars based in South Korea, United States and United Kingdom. Seung Jun Shin's co-authors include Yichao Wu, Hao Helen Zhang, Andreas Artemiou, Myong Chul Park, Yufeng Liu, Yuexiao Dong, Hyoseob Lim, Yanping Liu, Yu Jin Jang and Il Jae Lee and has published in prestigious journals such as Journal of the American Statistical Association, Cancer Research and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Seung Jun Shin i

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Fields of papers citing papers by Seung Jun Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung Jun Shin. 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 Seung Jun Shin. The network helps show where Seung Jun Shin may publish in the future.

Countries citing papers authored by Seung Jun Shin

Since Specialization

Citations

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