Bin Dong
Impact in
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- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Image and Object Detection Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Image Processing Techniques and Applications
Papers in
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- Medical Image Segmentation Techniques 11
- Image and Signal Denoising Methods 5
- Image Retrieval and Classification Techniques 4
- Advanced Neural Network Applications 3
- Face and Expression Recognition 2
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- Advanced Image Fusion Techniques 4
- Co-authors
- Guirong Weng (5 shared papers)Lei Yu (1 shared paper)Zuowei Shen (1 shared paper)Aichi Chien (1 shared paper)Zicong Zhu (3 shared papers)Jingen Ni (3 shared papers)Yue Niu (1 shared paper)Jérôme Antoni (1 shared paper)
- Journals
- Expert Systems with Applications (3 papers)Signal Processing (2 papers)Medical Physics (1 paper)SIAM Journal on Scientific Computing (1 paper)Coastal Engineering (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Bin Dong
17 papers receiving 249 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 183
- Media Technology 59
- Neurology 20
- Signal Processing 15
- Radiology, Nuclear Medicine and Imaging 32
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 71 | |
| 2 | 2011 | 47 | |
| 3 | 2019 | 27 | |
| 4 | 2021 | 20 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 18 | |
| 7 | 2021 | 12 | |
| 8 | 2012 | 9 | |
| 9 | 2016 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2017 | 2 | |
| 17 | 2014 | 2 | |
| 18 | Study on Dynamical Intensity Features of Silt with Different Clay-Particle Contents | 2009 | 0 |
About Bin Dong
Bin Dong is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Signal Processing and Civil and Structural Engineering, having authored 18 papers that have together received 255 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Image and Signal Denoising Methods (5 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Image Fusion Techniques (4 papers), Blind Source Separation Techniques (3 papers), Advanced Neural Network Applications (3 papers), Speech and Audio Processing (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (183 citations), Media Technology (59 citations), Neurology (20 citations), Signal Processing (15 citations) and Radiology, Nuclear Medicine and Imaging (32 citations). Bin Dong has collaborated with scholars based in China, United States and France. Frequent co-authors include Guirong Weng, Lei Yu, Zuowei Shen, Aichi Chien, Zicong Zhu, Jingen Ni, Yue Niu, Jérôme Antoni, Hichem Snoussi and Erliang Zhang. Their work appears in journals such as Expert Systems with Applications, Signal Processing, Medical Physics, SIAM Journal on Scientific Computing and Coastal 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.