Yongsoo Song

10 papers and 549 indexed citations i.

About

Yongsoo Song is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yongsoo Song has authored 10 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yongsoo Song’s work include Cryptography and Data Security (9 papers), Privacy-Preserving Technologies in Data (5 papers) and Combinatorial Optimization and Complexity Theory (4 papers). Yongsoo Song is often cited by papers focused on Cryptography and Data Security (9 papers), Privacy-Preserving Technologies in Data (5 papers) and Combinatorial Optimization and Complexity Theory (4 papers). Yongsoo Song collaborates with scholars based in South Korea, United States and Canada. Yongsoo Song's co-authors include Miran Kim, Xiaoqian Jiang, Jung Hee Cheon, Kristin Lauter, Andrey Kim, Shuang Wang, Junsoo Kim, Hyungbo Shim, Keewoo Lee and Chanhwa Lee and has published in prestigious journals such as IEEE Access, Journal of Medical Internet Research and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Yongsoo Song i

Fields of papers citing papers by Yongsoo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yongsoo Song

Since Specialization
Citations

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