Joong‐Ho Won
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Health Informatics top 10%
Papers in
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- Medical Image Segmentation Techniques 4
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- Bayesian Methods and Mixture Models 3
- Co-authors
- Myunghee Cho Paik (3 shared papers)Yongchan Kwon (3 shared papers)Beom Joon Kim (2 shared papers)Johan Lim (7 shared papers)Seung-Jean Kim (2 shared papers)Bala Rajaratnam (1 shared paper)Sungroh Yoon (6 shared papers)Beom Joon Kim (1 shared paper)
- Journals
- Computational Statistics & Data Analysis (2 papers)Journal of Computational and Graphical Statistics (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Multimedia Systems (1 paper)Statistical Science (1 paper)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Joong‐Ho Won
36 papers receiving 599 citations
Joong‐Ho Won's Hit Papers
Peers
Comparison fields: 5 of 118
- Statistics and Probability 82
- Health Informatics 12
- Artificial Intelligence 191
- Computer Vision and Pattern Recognition 96
- Biophysics 23
Countries citing papers authored by Joong‐Ho Won
This map shows the geographic impact of Joong‐Ho Won'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 Joong‐Ho Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joong‐Ho Won more than expected).
Fields of papers citing papers by Joong‐Ho Won
This network shows the impact of papers produced by Joong‐Ho Won. 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 Joong‐Ho Won. The network helps show where Joong‐Ho Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Joong‐Ho Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation Hit paper breakdown → | 2019 | 284 |
| 2 | 2012 | 105 | |
| 3 | 2016 | 33 | |
| 4 | Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation | 2018 | 32 |
| 5 | 2012 | 30 | |
| 6 | 2014 | 18 | |
| 7 | 2018 | 16 | |
| 8 | 2016 | 9 | |
| 9 | 2009 | 7 | |
| 10 | 2016 | 7 | |
| 11 | 2012 | 7 | |
| 12 | Projection onto Minkowski Sums with Application to Constrained Learning. | 2019 | 6 |
| 13 | 2013 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2011 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2021 | 3 |
About Joong‐Ho Won
Joong‐Ho Won is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Statistics and Probability and Molecular Biology, having authored 40 papers that have together received 615 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (9 papers), Statistical Methods and Inference (6 papers), Medical Image Segmentation Techniques (4 papers), Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (4 papers), Advanced Optimization Algorithms Research (3 papers), Bayesian Methods and Mixture Models (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Statistics and Probability (82 citations), Health Informatics (12 citations), Artificial Intelligence (191 citations), Computer Vision and Pattern Recognition (96 citations) and Biophysics (23 citations). Joong‐Ho Won has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Myunghee Cho Paik, Yongchan Kwon, Beom Joon Kim, Johan Lim, Seung-Jean Kim, Bala Rajaratnam, Sungroh Yoon, Beom Joon Kim, Richard A. Olshen and Ofir Goldberger. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of Computational and Graphical Statistics, IEEE Transactions on Biomedical Engineering, Multimedia Systems and Statistical Science.
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.