Hongseok Yang

78 papers and 1.2k indexed citations i.

About

Hongseok Yang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Hongseok Yang has authored 78 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 21 papers in Computer Networks and Communications and 18 papers in Computational Theory and Mathematics. Recurrent topics in Hongseok Yang’s work include Logic, programming, and type systems (30 papers), Distributed systems and fault tolerance (16 papers) and Software Testing and Debugging Techniques (16 papers). Hongseok Yang is often cited by papers focused on Logic, programming, and type systems (30 papers), Distributed systems and fault tolerance (16 papers) and Software Testing and Debugging Techniques (16 papers). Hongseok Yang collaborates with scholars based in United Kingdom, South Korea and United States. Hongseok Yang's co-authors include Peter W. O’Hearn, Cristiano Calcagno, Mayur Naik, Dino Distefano, Mary Jean Harrold, Saswat Anand, Lars Birkedal, David Pym, Hakjoo Oh and Jian Kang and has published in prestigious journals such as The Journal of the Acoustical Society of America, Landscape and Urban Planning and International Journal of Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Hongseok Yang i

Fields of papers citing papers by Hongseok Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hongseok Yang

Since Specialization
Citations

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