Seokil Hong
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- Advanced Vision and Imaging 1
- Image and Signal Denoising Methods 1
- Multimodal Machine Learning Applications 1
- Advanced Image Processing Techniques 1
- Human Pose and Action Recognition 1
- Media Technology top 5%
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- Domain Adaptation and Few-Shot Learning 1
- Partner nations
- SwitzerlandSouth Korea
In The Last Decade
Seokil Hong
2 papers receiving 280 citations
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 268
- Media Technology 102
- Acoustics and Ultrasonics 5
- Signal Processing 14
- Biophysics 5
Countries citing papers authored by Seokil Hong
This map shows the geographic impact of Seokil 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 Seokil Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seokil Hong more than expected).
Fields of papers citing papers by Seokil Hong
This network shows the impact of papers produced by Seokil 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 Seokil Hong. The network helps show where Seokil Hong may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Seokil Hong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Seokil Hong
Seokil Hong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 2 papers that have together received 291 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (1 paper), Image and Signal Denoising Methods (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Multimodal Machine Learning Applications (1 paper), Advanced Image Processing Techniques (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (268 citations), Media Technology (102 citations), Acoustics and Ultrasonics (5 citations), Signal Processing (14 citations) and Biophysics (5 citations). Seokil Hong has collaborated with scholars based in Switzerland and South Korea. Frequent co-authors include Kyoung Mu Lee, Sungyong Baik, Gyeongsik Moon, Radu Timofte, Seungjun Nah and Sanghyun Son. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.