Seungryong Kim
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology
- Topics
- Advanced Vision and Imaging (30 papers)Advanced Image and Video Retrieval Techniques (28 papers)Image Enhancement Techniques (20 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingExpert Systems with Applications
- Partner nations
- South KoreaSwitzerlandUnited States
In The Last Decade
Seungryong Kim
87 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 1.1k
- Media Technology 257
- Aerospace Engineering 240
- Artificial Intelligence 191
- Experimental and Cognitive Psychology 58
Countries citing papers authored by Seungryong Kim
This map shows the geographic impact of Seungryong Kim'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 Seungryong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungryong Kim more than expected).
Fields of papers citing papers by Seungryong Kim
This network shows the impact of papers produced by Seungryong Kim. 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 Seungryong Kim. The network helps show where Seungryong Kim may publish in the future.
Co-authorship network of co-authors of Seungryong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Seungryong Kim. A scholar is included among the top collaborators of Seungryong Kim 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 Seungryong Kim. Seungryong Kim 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 | 9 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 31 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | Data Augmentations for Document Images. | 1 |
| 14 | Sea Fog Classification from GOCI Images using CNN Transfer Learning Models | 1 |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence Estimation | 4 |
| 19 | FAST and BRIEF based Real-Time Feature Matching Algorithms | 0 |
| 20 | 초임부에서의 무통분만의 임상적 경과 | 1 |
About Seungryong Kim
Seungryong Kim is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 101 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (30 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Image Enhancement Techniques (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (257 citations) and Computer Graphics and Computer-Aided Design (40 citations). Seungryong Kim has collaborated with scholars based in South Korea, Switzerland and United States. Frequent co-authors include Kwanghoon Sohn, Ki‐Hong Park, Dongbo Min, Sunok Kim, Bumsub Ham, Kwanghoon Sohn, Sangryul Jeon, Minsu Kim, Stephen Lin and N. Minh. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.