Hai Su
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
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- Digital Imaging for Blood Diseases
- Chaos-based Image/Signal Encryption
Papers in
-
- Advanced Image and Video Retrieval Techniques 8
- Digital Imaging for Blood Diseases 6
- Image Retrieval and Classification Techniques 6
- Medical Image Segmentation Techniques 4
-
- AI in cancer detection 19
- Co-authors
- Fuyong Xing (23 shared papers)Lin Yang (20 shared papers)Yuanpu Xie (11 shared papers)Qian Wang (3 shared papers)Kui Ren (3 shared papers)Fujun Liu (9 shared papers)Xiangfei Kong (4 shared papers)Kwangjo Kim (1 shared paper)
- Journals
- Medical Image Analysis (4 papers)Nature Machine Intelligence (3 papers)Journal of Alloys and Compounds (2 papers)IEEE Communications Magazine (2 papers)Neurocomputing (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Hai Su
47 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 133
- Biophysics 303
- Computer Vision and Pattern Recognition 907
- Artificial Intelligence 1.1k
- Health Informatics 40
- Radiology, Nuclear Medicine and Imaging 471
Countries citing papers authored by Hai Su
This map shows the geographic impact of Hai Su'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 Hai Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Su more than expected).
Fields of papers citing papers by Hai Su
This network shows the impact of papers produced by Hai Su. 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 Hai Su. The network helps show where Hai Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Su, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 298 | |
| 2 | 2011 | 202 | |
| 3 | 2019 | 198 | |
| 4 | 2011 | 184 | |
| 5 | 2019 | 179 | |
| 6 | 2015 | 128 | |
| 7 | 2017 | 91 | |
| 8 | 2012 | 80 | |
| 9 | 2012 | 79 | |
| 10 | 2014 | 71 | |
| 11 | 2015 | 68 | |
| 12 | 2015 | 64 | |
| 13 | 2015 | 61 | |
| 14 | 2015 | 59 | |
| 15 | 2018 | 57 | |
| 16 | 2014 | 51 | |
| 17 | 2015 | 50 | |
| 18 | 2019 | 41 | |
| 19 | 2015 | 39 | |
| 20 | 2016 | 37 |
About Hai Su
Hai Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 2.3k indexed citations. Recurring topics across this work include AI in cancer detection (19 papers), Advanced Image and Video Retrieval Techniques (8 papers), Cell Image Analysis Techniques (8 papers), Digital Imaging for Blood Diseases (6 papers), Image Processing Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Image Retrieval and Classification Techniques (6 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Biophysics (303 citations), Computer Vision and Pattern Recognition (907 citations), Artificial Intelligence (1.1k citations), Health Informatics (40 citations) and Radiology, Nuclear Medicine and Imaging (471 citations). Hai Su has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Fuyong Xing, Lin Yang, Yuanpu Xie, Qian Wang, Kui Ren, Fujun Liu, Xiangfei Kong, Kwangjo Kim, Juhua Liu and Bo Du. Their work appears in journals such as Medical Image Analysis, Nature Machine Intelligence, Journal of Alloys and Compounds, IEEE Communications Magazine and Neurocomputing.
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.