Miyoun Jung
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Media Technology top 5%
- Mathematical Physics
- Biomedical Engineering
- Co-authors
- Myungjoo KangLuminita A. VeseTony F. ChanXavier BressonLaurent D. CohenGabriel PeyréAntonio MarquinaAlan Yuille
- Topics
- Image and Signal Denoising Methods (21 papers)Sparse and Compressive Sensing Techniques (16 papers)Advanced Image Processing Techniques (13 papers)
- Journals
- IEEE Transactions on Image ProcessingComputers & Mathematics with ApplicationsApplied Mathematical Modelling
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Miyoun Jung
26 papers receiving 347 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 294
- Computational Mechanics 158
- Media Technology 99
- Mathematical Physics 34
- Biomedical Engineering 24
Countries citing papers authored by Miyoun Jung
This map shows the geographic impact of Miyoun Jung'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 Miyoun Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miyoun Jung more than expected).
Fields of papers citing papers by Miyoun Jung
This network shows the impact of papers produced by Miyoun Jung. 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 Miyoun Jung. The network helps show where Miyoun Jung may publish in the future.
Co-authorship network of co-authors of Miyoun Jung
This figure shows the co-authorship network connecting the top 25 collaborators of Miyoun Jung. A scholar is included among the top collaborators of Miyoun Jung 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 Miyoun Jung. Miyoun Jung 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 | 1 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 30 | |
| 14 | 8 | |
| 15 | 33 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | 84 | |
| 19 | 18 | |
| 20 | 6 |
About Miyoun Jung
Miyoun Jung is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics, having authored 29 papers that have together received 365 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (21 papers), Sparse and Compressive Sensing Techniques (16 papers) and Advanced Image Processing Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (294 citations), Media Technology (99 citations) and Computational Mechanics (158 citations). Miyoun Jung has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Myungjoo Kang, Luminita A. Vese, Tony F. Chan, Xavier Bresson, Laurent D. Cohen, Gabriel Peyré, Antonio Marquina, Alan Yuille, Ginmo Chung and Ganesh Sundaramoorthi. Their work appears in journals such as IEEE Transactions on Image Processing, Computers & Mathematics with Applications and Applied Mathematical Modelling.
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.