Binbin Sun
Impact in
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
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- Face and Expression Recognition 5
- Image Retrieval and Classification Techniques 4
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- Neural Networks and Applications 4
- Co-authors
- Wing W. Y. Ng (11 shared papers)Daniel Yeung (11 shared papers)Patrick P. K. Chan (3 shared papers)Jun Wang (1 shared paper)Zhiliang Zhang (5 shared papers)Huili Li (1 shared paper)Weijie Wang (2 shared papers)Jianbo Qu (4 shared papers)
In The Last Decade
Binbin Sun
21 papers receiving 101 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 51
- Signal Processing 16
- Management Science and Operations Research 16
- Artificial Intelligence 37
- Electronic, Optical and Magnetic Materials 12
Countries citing papers authored by Binbin Sun
This map shows the geographic impact of Binbin Sun'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 Binbin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbin Sun more than expected).
Fields of papers citing papers by Binbin Sun
This network shows the impact of papers produced by Binbin Sun. 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 Binbin Sun. The network helps show where Binbin Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbin Sun, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 16 | |
| 2 | 2013 | 15 | |
| 3 | 2008 | 11 | |
| 4 | 2016 | 10 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2008 | 5 | |
| 9 | 2009 | 5 | |
| 10 | 2008 | 5 | |
| 11 | 2016 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2008 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2009 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2007 | 1 |
About Binbin Sun
Binbin Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Molecular Biology and Control and Systems Engineering, having authored 27 papers that have together received 103 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Blind Source Separation Techniques (4 papers), Advanced Algorithms and Applications (4 papers), Neural Networks and Applications (4 papers), Image Retrieval and Classification Techniques (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers) and Biosensors and Analytical Detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (51 citations), Signal Processing (16 citations), Management Science and Operations Research (16 citations), Artificial Intelligence (37 citations) and Electronic, Optical and Magnetic Materials (12 citations). Binbin Sun has collaborated with scholars based in China, Hong Kong and Malaysia. Frequent co-authors include Wing W. Y. Ng, Daniel Yeung, Patrick P. K. Chan, Jun Wang, Zhiliang Zhang, Huili Li, Weijie Wang, Jianbo Qu, Huang Bai and Τao Zhu. Their work appears in journals such as Food Chemistry, International Journal of Machine Learning and Cybernetics, Applied Surface Science, International Journal of Biological Macromolecules and Foods.
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.