Sungrack Yun

21 papers and 219 indexed citations i.

About

Sungrack Yun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Sungrack Yun has authored 21 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Signal Processing. Recurrent topics in Sungrack Yun’s work include Music and Audio Processing (9 papers), Speech and Audio Processing (8 papers) and Multimodal Machine Learning Applications (5 papers). Sungrack Yun is often cited by papers focused on Music and Audio Processing (9 papers), Speech and Audio Processing (8 papers) and Multimodal Machine Learning Applications (5 papers). Sungrack Yun collaborates with scholars based in South Korea, United Kingdom and Canada. Sungrack Yun's co-authors include Chang D. Yoo, Hyung Woo Park, Hee Seok Lee, Mihir Jain, Hyunsin Park, Debasmit Das, Hanul Kim, Fatih Porikli, Seung-Han Yang and Sungwoong Kim and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Sungrack Yun i

Fields of papers citing papers by Sungrack Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sungrack Yun

Since Specialization
Citations

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