Hyun Kwon

64 papers and 547 indexed citations i.

About

Hyun Kwon is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hyun Kwon has authored 64 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 27 papers in Signal Processing and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hyun Kwon’s work include Adversarial Robustness in Machine Learning (46 papers), Anomaly Detection Techniques and Applications (28 papers) and Advanced Malware Detection Techniques (23 papers). Hyun Kwon is often cited by papers focused on Adversarial Robustness in Machine Learning (46 papers), Anomaly Detection Techniques and Applications (28 papers) and Advanced Malware Detection Techniques (23 papers). Hyun Kwon collaborates with scholars based in South Korea, United States and Australia. Hyun Kwon's co-authors include Hyunsoo Yoon, Ki-Woong Park, Daeseon Choi, Jun Lee, Sunghwan Kim, Jang-Woon Baek, Sang‐Hyun Lee, Seung‐Ho Lim, Sang-Hyun Lee and Seung-Hun Nam and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Hyun Kwon i

Fields of papers citing papers by Hyun Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hyun Kwon

Since Specialization
Citations

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