Jung W. Suh
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Neurology top 5%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Co-authors
- Paul A. YushkevichJohn PlutaHongzhi WangSandhitsu R. DasCaryne P. CraigeMurat AltinayBrian AvantsYoungmin Kim
- Topics
- Medical Image Segmentation Techniques (11 papers)Image Retrieval and Classification Techniques (3 papers)Robotics and Sensor-Based Localization (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceNeuroImageIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesSouth Korea
In The Last Decade
Jung W. Suh
21 papers receiving 952 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 483
- Radiology, Nuclear Medicine and Imaging 316
- Neurology 172
- Cognitive Neuroscience 166
- Biomedical Engineering 118
Countries citing papers authored by Jung W. Suh
This map shows the geographic impact of Jung W. Suh'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 Jung W. Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung W. Suh more than expected).
Fields of papers citing papers by Jung W. Suh
This network shows the impact of papers produced by Jung W. Suh. 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 Jung W. Suh. The network helps show where Jung W. Suh may publish in the future.
Co-authorship network of co-authors of Jung W. Suh
This figure shows the co-authorship network connecting the top 25 collaborators of Jung W. Suh. A scholar is included among the top collaborators of Jung W. Suh 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 Jung W. Suh. Jung W. Suh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 32 | |
| 5 | 28 | |
| 6 | Multi-Atlas Segmentation with Joint Label Fusionbreakdown → | 586 |
| 7 | 8 | |
| 8 | 32 | |
| 9 | 140 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 44 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 14 | |
| 17 | 20 | |
| 18 | Skeletonization Of Grayscale Character Images Using Pixel Superiority Index | 2 |
| 19 | 3 | |
| 20 | Stroke Extraction from Gray-scale Character Image | 1 |
About Jung W. Suh
Jung W. Suh is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Neurology, having authored 21 papers that have together received 968 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Image Retrieval and Classification Techniques (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (483 citations), Neurology (172 citations) and Radiology, Nuclear Medicine and Imaging (316 citations). Jung W. Suh has collaborated with scholars based in United States and South Korea. Frequent co-authors include Paul A. Yushkevich, John Pluta, Hongzhi Wang, Sandhitsu R. Das, Caryne P. Craige, Murat Altinay, Brian Avants, Youngmin Kim, Je G. and Hongzhi Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and IEEE Transactions on Biomedical Engineering.
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.