Bin Dong
Impact in
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Computational Mechanics top 1%
- Sparse and Compressive Sensing Techniques
Papers in
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- Image and Signal Denoising Methods 25
- Medical Image Segmentation Techniques 18
- Advanced Image Processing Techniques 11
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- Sparse and Compressive Sensing Techniques 17
- Co-authors
- Zuowei Shen (18 shared papers)Yiping Lu (3 shared papers)Stanley Osher (7 shared papers)Jian‐Feng Cai (3 shared papers)Steve Jiang (9 shared papers)Xun Jia (8 shared papers)Yu Mao (4 shared papers)Wotao Yin (1 shared paper)
- Journals
- SIAM Journal on Imaging Sciences (6 papers)Applied and Computational Harmonic Analysis (6 papers)Journal of Computational Physics (4 papers)Journal of Scientific Computing (3 papers)SIAM Journal on Scientific Computing (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Bin Dong
111 papers receiving 2.8k citations
Bin Dong's Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 955
- Computational Mechanics 781
- Health Informatics 40
- Radiology, Nuclear Medicine and Imaging 628
- Statistical and Nonlinear Physics 366
Countries citing papers authored by Bin Dong
This map shows the geographic impact of Bin Dong'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 Bin Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Dong more than expected).
Fields of papers citing papers by Bin Dong
This network shows the impact of papers produced by Bin Dong. 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 Bin Dong. The network helps show where Bin Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Dong, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network Hit paper breakdown → | 2019 | 344 |
| 2 | 2012 | 223 | |
| 3 | 2010 | 165 | |
| 4 | 2022 | 128 | |
| 5 | 2011 | 107 | |
| 6 | 2020 | 107 | |
| 7 | 2020 | 87 | |
| 8 | 2012 | 81 | |
| 9 | 2006 | 76 | |
| 10 | 2012 | 74 | |
| 11 | 2022 | 71 | |
| 12 | 2012 | 66 | |
| 13 | 2011 | 60 | |
| 14 | 2021 | 55 | |
| 15 | 2020 | 53 | |
| 16 | 2021 | 52 | |
| 17 | 2015 | 51 | |
| 18 | 2017 | 48 | |
| 19 | 2021 | 47 | |
| 20 | 2024 | 46 |
About Bin Dong
Bin Dong is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence, having authored 119 papers that have together received 3.0k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (25 papers), Medical Image Segmentation Techniques (18 papers), Medical Imaging Techniques and Applications (18 papers), Sparse and Compressive Sensing Techniques (17 papers), Advanced Image Processing Techniques (11 papers), Model Reduction and Neural Networks (10 papers), Advanced X-ray and CT Imaging (9 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (955 citations), Computational Mechanics (781 citations), Health Informatics (40 citations), Radiology, Nuclear Medicine and Imaging (628 citations) and Statistical and Nonlinear Physics (366 citations). Bin Dong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zuowei Shen, Yiping Lu, Stanley Osher, Jian‐Feng Cai, Steve Jiang, Xun Jia, Yu Mao, Wotao Yin, Haochen Wang and Gang Wu. Their work appears in journals such as SIAM Journal on Imaging Sciences, Applied and Computational Harmonic Analysis, Journal of Computational Physics, Journal of Scientific Computing and SIAM Journal on Scientific Computing.
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.