Seokhie Hong

106 papers and 402 indexed citations i.

About

Seokhie Hong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Seokhie Hong has authored 106 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Artificial Intelligence, 50 papers in Computer Vision and Pattern Recognition and 30 papers in Information Systems. Recurrent topics in Seokhie Hong’s work include Cryptographic Implementations and Security (74 papers), Coding theory and cryptography (54 papers) and Chaos-based Image/Signal Encryption (48 papers). Seokhie Hong is often cited by papers focused on Cryptographic Implementations and Security (74 papers), Coding theory and cryptography (54 papers) and Chaos-based Image/Signal Encryption (48 papers). Seokhie Hong collaborates with scholars based in South Korea, United States and India. Seokhie Hong's co-authors include Hee Seok Kim, Jaechul Sung, Kitae Jeong, Jongsung Kim, Jongin Lim, Tae Hyun Kim, Young-Ho Park, Tetsu Iwata, Seung-Hyun Seo and Inwhee Joe and has published in prestigious journals such as IEEE Transactions on Information Theory, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Seokhie Hong i

Fields of papers citing papers by Seokhie Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seokhie Hong

Since Specialization
Citations

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