Doyeon Kim
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics
- Molecular Biology
- Artificial Intelligence
- Co-authors
- Junmo KimDonggyu JooYonghyun JeongKyoohyun KimYongKeun ParkSung Ho YangJuno LeeJinsu Choi
- Topics
- Generative Adversarial Networks and Image Synthesis (5 papers)Advanced Neural Network Applications (4 papers)Advanced Vision and Imaging (3 papers)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Doyeon Kim
28 papers receiving 523 citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 209
- Biomedical Engineering 103
- Atomic and Molecular Physics, and Optics 67
- Molecular Biology 66
- Artificial Intelligence 58
Countries citing papers authored by Doyeon Kim
This map shows the geographic impact of Doyeon 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 Doyeon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doyeon Kim more than expected).
Fields of papers citing papers by Doyeon Kim
This network shows the impact of papers produced by Doyeon 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 Doyeon Kim. The network helps show where Doyeon Kim may publish in the future.
Co-authorship network of co-authors of Doyeon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Doyeon Kim. A scholar is included among the top collaborators of Doyeon 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 Doyeon Kim. Doyeon 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 | 4 | |
| 2 | 14 | |
| 3 | 14 | |
| 4 | 5 | |
| 5 | 57 | |
| 6 | 1 | |
| 7 | 39 | |
| 8 | 10 | |
| 9 | 27 | |
| 10 | 56 | |
| 11 | 2 | |
| 12 | 34 | |
| 13 | 21 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 27 | |
| 20 | 9 |
About Doyeon Kim
Doyeon Kim is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Instrumentation, having authored 29 papers that have together received 545 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Neural Network Applications (4 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Biophysics (53 citations) and Media Technology (38 citations). Doyeon Kim has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Junmo Kim, Donggyu Joo, Yonghyun Jeong, Kyoohyun Kim, YongKeun Park, Sung Ho Yang, Juno Lee, Jinsu Choi, Insung S. Choi and Daewha Hong. Their work appears in journals such as Scientific Reports, Nanoscale and IEEE Access.
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.