Hyomin Choi
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Media Technology
- Artificial Intelligence
- Astronomy and Astrophysics
- Co-authors
- Ivan V. BajićDonggyu SimRobert CohenEugene ChiangFabien RacapéSeong Soo KimKisung SeoWei Jiang
- Topics
- Advanced Image Processing Techniques (11 papers)Advanced Image and Video Retrieval Techniques (7 papers)Advanced Vision and Imaging (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingThe Astronomical Journal
- Partner nations
- CanadaUnited StatesSouth Korea
In The Last Decade
Hyomin Choi
20 papers receiving 312 citations
Peers
Comparison fields: 5 of 33
- Computer Vision and Pattern Recognition 261
- Signal Processing 135
- Media Technology 23
- Artificial Intelligence 21
- Astronomy and Astrophysics 16
Countries citing papers authored by Hyomin Choi
This map shows the geographic impact of Hyomin Choi'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 Hyomin Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyomin Choi more than expected).
Fields of papers citing papers by Hyomin Choi
This network shows the impact of papers produced by Hyomin Choi. 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 Hyomin Choi. The network helps show where Hyomin Choi may publish in the future.
Co-authorship network of co-authors of Hyomin Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Hyomin Choi. A scholar is included among the top collaborators of Hyomin Choi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hyomin Choi. Hyomin Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 95 | |
| 10 | 14 | |
| 11 | 8 | |
| 12 | 17 | |
| 13 | 21 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | DFTS: Deep Feature Transmission Simulator | 2 |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 84 | |
| 20 | 13 |
About Hyomin Choi
Hyomin Choi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 23 papers that have together received 316 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (11 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (261 citations), Signal Processing (135 citations) and Computer Graphics and Computer-Aided Design (10 citations). Hyomin Choi has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Ivan V. Bajić, Donggyu Sim, Robert Cohen, Eugene Chiang, Fabien Racapé, Seong Soo Kim, Kisung Seo, Wei Jiang, Simon Feltman and Borko Furht. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and The Astronomical Journal.
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.