Sang Uk Shin

26 papers and 158 indexed citations i.

About

Sang Uk Shin is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sang Uk Shin has authored 26 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 13 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sang Uk Shin’s work include Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Sang Uk Shin is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Sang Uk Shin collaborates with scholars based in South Korea and United States. Sang Uk Shin's co-authors include Taek-Young Youn, Kyung-Hyune Rhee, Nam-Su Jho, Youngho Park, Hyejoo Lee, Kangwoo Cho, Changho Seo, Ju‐Young Kim, Soon-Chul Kim and Jeom‐Sig Lee and has published in prestigious journals such as Sensors, IEEE Access and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Sang Uk Shin i

Fields of papers citing papers by Sang Uk Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sang Uk Shin

Since Specialization
Citations

This map shows the geographic impact of Sang Uk 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 Sang Uk Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang Uk 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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2025