Jin-Hyuk Hong

50 papers and 823 indexed citations i.

About

Jin-Hyuk Hong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Jin-Hyuk Hong has authored 50 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 9 papers in Human-Computer Interaction. Recurrent topics in Jin-Hyuk Hong’s work include Risk and Safety Analysis (6 papers), Speech and dialogue systems (5 papers) and Context-Aware Activity Recognition Systems (5 papers). Jin-Hyuk Hong is often cited by papers focused on Risk and Safety Analysis (6 papers), Speech and dialogue systems (5 papers) and Context-Aware Activity Recognition Systems (5 papers). Jin-Hyuk Hong collaborates with scholars based in South Korea, United States and Switzerland. Jin-Hyuk Hong's co-authors include Sung‐Bae Cho, Anind K. Dey, Anind K. Dey, Julián Ramos, Katarzyna Wac, Selim İckin, Lucjan Janowski, Markus Fiedler, Jun‐Ki Min and Myeong Soo Lee and has published in prestigious journals such as Atmospheric Environment, The American Journal of Gastroenterology and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Jin-Hyuk Hong i

Fields of papers citing papers by Jin-Hyuk Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin-Hyuk Hong

Since Specialization
Citations

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