Ginmo Chung
Impact in
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- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Image and Object Detection Techniques
- Media Technology top 10%
Papers in
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- Medical Image Segmentation Techniques 10
- Image and Signal Denoising Methods 4
- Advanced Image and Video Retrieval Techniques 1
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- Numerical methods in inverse problems 3
- Co-authors
- Luminita A. Vese (8 shared papers)Xue‐Cheng Tai (2 shared papers)Jooyoung Hahn (2 shared papers)Miyoun Jung (4 shared papers)Tony Fan-Cheong Chan (3 shared papers)Nir Sochen (3 shared papers)Leah Bar (3 shared papers)Nahum Kiryati (3 shared papers)
- Journals
- SIAM Journal on Imaging Sciences (1 paper)Computing and Visualization in Science (1 paper)Lecture notes in computer science (2 papers)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2 papers)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
- Partner nations
- United StatesIsraelHong Kong
In The Last Decade
Ginmo Chung
10 papers receiving 357 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 306
- Media Technology 56
- Computational Mechanics 120
- Mathematical Physics 44
- Computer Graphics and Computer-Aided Design 17
Countries citing papers authored by Ginmo Chung
This map shows the geographic impact of Ginmo Chung'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 Ginmo Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ginmo Chung more than expected).
Fields of papers citing papers by Ginmo Chung
This network shows the impact of papers produced by Ginmo Chung. 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 Ginmo Chung. The network helps show where Ginmo Chung may publish in the future.
Co-authors
The 15 scholars most cited alongside Ginmo Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 157 | |
| 2 | 2008 | 75 | |
| 3 | 2005 | 55 | |
| 4 | 2015 | 28 | |
| 5 | 2010 | 25 | |
| 6 | 2009 | 23 | |
| 7 | 2012 | 8 | |
| 8 | 2014 | 6 | |
| 9 | 2006 | 5 | |
| 10 | 2010 | 1 |
About Ginmo Chung
Ginmo Chung is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics, Ocean Engineering, Computational Mechanics and Biophysics, having authored 10 papers that have together received 383 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Image and Signal Denoising Methods (4 papers), Numerical methods in inverse problems (3 papers), Enhanced Oil Recovery Techniques (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Hydrocarbon exploration and reservoir analysis (1 paper), Advanced Mathematical Modeling in Engineering (1 paper) and Advanced Numerical Analysis Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (306 citations), Media Technology (56 citations), Computational Mechanics (120 citations), Mathematical Physics (44 citations) and Computer Graphics and Computer-Aided Design (17 citations). Ginmo Chung has collaborated with scholars based in United States, Israel and Hong Kong. Frequent co-authors include Luminita A. Vese, Xue‐Cheng Tai, Jooyoung Hahn, Miyoun Jung, Tony Fan-Cheong Chan, Nir Sochen, Leah Bar, Nahum Kiryati, Ganesh Sundaramoorthi and Alan Yuille. Their work appears in journals such as SIAM Journal on Imaging Sciences, Computing and Visualization in Science, Lecture notes in computer science, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.