Su Huang
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Medical Image Segmentation Techniques 23
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- Medical Imaging Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 4
- Advanced MRI Techniques and Applications 4
- Co-authors
- Wiesław L. Nowinski (16 shared papers)Jimin Liu (10 shared papers)Sudhakar K. Venkatesh (4 shared papers)Jiayin Zhou (4 shared papers)Yanling Chi (4 shared papers)Weimin Huang (8 shared papers)Zhiping Lin (5 shared papers)Lynette Teo (2 shared papers)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (5 papers)IEEE Transactions on Biomedical Engineering (2 papers)Journal of Digital Imaging (2 papers)Radiographics (2 papers)IEEE Transactions on Medical Imaging (2 papers)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Su Huang
44 papers receiving 503 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 267
- Computer Graphics and Computer-Aided Design 34
- Radiology, Nuclear Medicine and Imaging 188
- Health Informatics 7
- Neurology 38
Countries citing papers authored by Su Huang
This map shows the geographic impact of Su Huang'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 Su Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Huang more than expected).
Fields of papers citing papers by Su Huang
This network shows the impact of papers produced by Su Huang. 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 Su Huang. The network helps show where Su Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Huang, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 62 | |
| 2 | 2018 | 53 | |
| 3 | 2010 | 35 | |
| 4 | 2010 | 29 | |
| 5 | 1996 | 28 | |
| 6 | 2015 | 27 | |
| 7 | 2016 | 26 | |
| 8 | 2009 | 23 | |
| 9 | 2008 | 20 | |
| 10 | 2009 | 20 | |
| 11 | 2005 | 18 | |
| 12 | 2009 | 17 | |
| 13 | 2013 | 16 | |
| 14 | 2006 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 2011 | 11 | |
| 17 | 2018 | 10 | |
| 18 | 2008 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2021 | 9 |
About Su Huang
Su Huang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Neurology and Computer Graphics and Computer-Aided Design, having authored 46 papers that have together received 522 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (23 papers), Medical Imaging Techniques and Applications (9 papers), Brain Tumor Detection and Classification (5 papers), Advanced X-ray and CT Imaging (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Anatomy and Medical Technology (4 papers), Advanced MRI Techniques and Applications (4 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (267 citations), Computer Graphics and Computer-Aided Design (34 citations), Radiology, Nuclear Medicine and Imaging (188 citations), Health Informatics (7 citations) and Neurology (38 citations). Su Huang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Wiesław L. Nowinski, Jimin Liu, Sudhakar K. Venkatesh, Jiayin Zhou, Yanling Chi, Weimin Huang, Zhiping Lin, Lynette Teo, Ihar Volkau and Raghu Raghavan. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Biomedical Engineering, Journal of Digital Imaging, Radiographics and IEEE Transactions on Medical Imaging.
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.