Sang‐Ki Ko

27 papers and 234 indexed citations i.

About

Sang‐Ki Ko is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Sang‐Ki Ko has authored 27 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 12 papers in Molecular Biology. Recurrent topics in Sang‐Ki Ko’s work include semigroups and automata theory (16 papers), DNA and Biological Computing (12 papers) and Algorithms and Data Compression (12 papers). Sang‐Ki Ko is often cited by papers focused on semigroups and automata theory (16 papers), DNA and Biological Computing (12 papers) and Algorithms and Data Compression (12 papers). Sang‐Ki Ko collaborates with scholars based in South Korea, Canada and United Kingdom. Sang‐Ki Ko's co-authors include Yo-Sub Han, Kai Salomaa, Kwangsue Chung, Igor Potapov, Jinsung Yoon, Jongmin Kim, Jaewook Lee, Jonghyun Lee, Hyeonseung Im and Sung-Min Kim and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Electronics Letters.

In The Last Decade

Co-authorship network of co-authors of Sang‐Ki Ko i

Fields of papers citing papers by Sang‐Ki Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Ki Ko. 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‐Ki Ko. The network helps show where Sang‐Ki Ko may publish in the future.

Countries citing papers authored by Sang‐Ki Ko

Since Specialization
Citations

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