Suwon Shon

34 papers and 353 indexed citations i.

About

Suwon Shon is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Suwon Shon has authored 34 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 18 papers in Signal Processing and 3 papers in Computational Mechanics. Recurrent topics in Suwon Shon’s work include Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (13 papers). Suwon Shon is often cited by papers focused on Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (13 papers). Suwon Shon collaborates with scholars based in United States, South Korea and Qatar. Suwon Shon's co-authors include James Glass, Hao Tang, Ahmed Ali, Hao Tang, Seongkyu Mun, Hanseok Ko, Wooil Kim, Tae-Hyun Oh, Younes Samih and Karen Livescu and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEICE Transactions on Information and Systems and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

In The Last Decade

Co-authorship network of co-authors of Suwon Shon i

Fields of papers citing papers by Suwon Shon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suwon Shon

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025