Namhyuk Ahn
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Biomedical Engineering
- Computational Mechanics
- Co-authors
- Kyung-Ah SohnByungkon KangKibeom HongJunsoo LeeYoungjung UhPilhyeon LeeHyeran ByunJaejun Yoo
- Topics
- Advanced Image Processing Techniques (5 papers)Image and Signal Denoising Methods (3 papers)Generative Adversarial Networks and Image Synthesis (3 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- Expert Systems with ApplicationsPattern RecognitionInternational Journal of Computer Vision
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Namhyuk Ahn
11 papers receiving 254 citations
Peers
Comparison fields: 5 of 32
- Computer Vision and Pattern Recognition 243
- Media Technology 132
- Artificial Intelligence 19
- Biomedical Engineering 11
- Computational Mechanics 9
Countries citing papers authored by Namhyuk Ahn
This map shows the geographic impact of Namhyuk Ahn'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 Namhyuk Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Namhyuk Ahn more than expected).
Fields of papers citing papers by Namhyuk Ahn
This network shows the impact of papers produced by Namhyuk Ahn. 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 Namhyuk Ahn. The network helps show where Namhyuk Ahn may publish in the future.
Co-authorship network of co-authors of Namhyuk Ahn
This figure shows the co-authorship network connecting the top 25 collaborators of Namhyuk Ahn. A scholar is included among the top collaborators of Namhyuk Ahn 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 Namhyuk Ahn. Namhyuk Ahn 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 | 1 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 21 | |
| 12 | Photo-realistic Image Super-resolution with Fast and Lightweight Cascading Residual Network. | 6 |
| 13 | 181 |
About Namhyuk Ahn
Namhyuk Ahn is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Computer Graphics and Computer-Aided Design, having authored 13 papers that have together received 261 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (5 papers), Image and Signal Denoising Methods (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Media Technology (132 citations), Computer Vision and Pattern Recognition (243 citations) and Computer Graphics and Computer-Aided Design (9 citations). Namhyuk Ahn has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Kyung-Ah Sohn, Byungkon Kang, Kibeom Hong, Junsoo Lee, Youngjung Uh, Pilhyeon Lee, Hyeran Byun, Jaejun Yoo, Seung-Hun Nam and Patrick Kwon. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and International Journal of Computer Vision.
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.