Weijun Sun
Impact in
- Computational Mathematics top 2%
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
Papers in
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- Face and Expression Recognition 13
- Advanced Image and Video Retrieval Techniques 6
- Image Retrieval and Classification Techniques 5
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- Sparse and Compressive Sensing Techniques 11
- Co-authors
- Shengli Xie (10 shared papers)Naiyao Liang (5 shared papers)Zhenni Li (5 shared papers)Jun Xu (4 shared papers)You Yu (3 shared papers)Zuyuan Yang (4 shared papers)Jinbo Zhang (2 shared papers)Zucong Cai (2 shared papers)
In The Last Decade
Weijun Sun
81 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 136
- Computational Mathematics 44
- Computer Vision and Pattern Recognition 224
- Health, Toxicology and Mutagenesis 99
- Soil Science 67
- Urban Studies 40
Countries citing papers authored by Weijun Sun
This map shows the geographic impact of Weijun 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 Weijun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijun Sun more than expected).
Fields of papers citing papers by Weijun Sun
This network shows the impact of papers produced by Weijun 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 Weijun Sun. The network helps show where Weijun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijun 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 183 | |
| 2 | 2020 | 110 | |
| 3 | 2014 | 86 | |
| 4 | 2020 | 68 | |
| 5 | 2006 | 67 | |
| 6 | 2015 | 36 | |
| 7 | 2019 | 28 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 25 | |
| 10 | 2021 | 24 | |
| 11 | 2015 | 23 | |
| 12 | 2020 | 22 | |
| 13 | 2018 | 20 | |
| 14 | 2019 | 20 | |
| 15 | 2015 | 20 | |
| 16 | 2017 | 19 | |
| 17 | 2024 | 18 | |
| 18 | 2010 | 18 | |
| 19 | 2022 | 18 | |
| 20 | 2021 | 16 |
About Weijun Sun
Weijun Sun is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Electrical and Electronic Engineering and Computational Mathematics, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (13 papers), Sparse and Compressive Sensing Techniques (11 papers), Tensor decomposition and applications (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Remote-Sensing Image Classification (6 papers), Image Retrieval and Classification Techniques (5 papers) and Machine Learning and ELM (4 papers). The work is most often cited by research in Computational Mathematics (44 citations), Computer Vision and Pattern Recognition (224 citations), Health, Toxicology and Mutagenesis (99 citations), Soil Science (67 citations) and Urban Studies (40 citations). Weijun Sun has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Shengli Xie, Naiyao Liang, Zhenni Li, Jun Xu, You Yu, Zuyuan Yang, Jinbo Zhang, Zucong Cai, Wenhui Zhong and Heqin Li. Their work appears in journals such as Applied Intelligence, IEEE Access, International Journal of Machine Learning and Cybernetics, Materials Today Energy and Neural Networks.
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.