Shunjun Wei
- Aerospace Engineering top 0.1%
- Advanced SAR Imaging Techniques 158
- Synthetic Aperture Radar (SAR) Applications and Techniques 84
- Radar Systems and Signal Processing 22
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- Advanced Neural Network Applications 30
- Media Technology top 0.5%
- Image Processing Techniques and Applications 15
- Oceanography top 2%
- Instrumentation top 5%
- Advanced Optical Sensing Technologies 15
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- Sparse and Compressive Sensing Techniques 60
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- Microwave Imaging and Scattering Analysis 60
In The Last Decade
Shunjun Wei
199 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Aerospace Engineering 3.0k
- Computer Vision and Pattern Recognition 1.7k
- Media Technology 482
- Oceanography 611
- Instrumentation 138
Countries citing papers authored by Shunjun Wei
This map shows the geographic impact of Shunjun Wei'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 Shunjun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunjun Wei more than expected).
Fields of papers citing papers by Shunjun Wei
This network shows the impact of papers produced by Shunjun Wei. 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 Shunjun Wei. The network helps show where Shunjun Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shunjun Wei, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 21 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 2 | |
| 11 | 2022 | 60 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 11 | |
| 15 | 2020 | 211 | |
| 16 | 2019 | 11 | |
| 17 | 2019 | 8 | |
| 18 | Spaceborne-airborne bistatic linear array SAR high resolution 3-D imaging based on sparsity exploiting | 2016 | 4 |
| 19 | “One-active” linear array SAR 3-D high resolution imaging via compressed sensing | 2011 | 2 |
| 20 | Tomographic linear array SAR down-looking 3-D imaging based on multi-pass trajectories | 2011 | 1 |
About Shunjun Wei
Shunjun Wei is a scholar working on Aerospace Engineering, Acoustics and Ultrasonics, Instrumentation, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 217 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (158 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (84 papers), Sparse and Compressive Sensing Techniques (60 papers), Microwave Imaging and Scattering Analysis (60 papers), Advanced Neural Network Applications (30 papers), Radar Systems and Signal Processing (22 papers), Advanced Optical Sensing Technologies (15 papers) and Image Processing Techniques and Applications (15 papers). The work is most often cited by research in Aerospace Engineering (3.0k citations), Computer Vision and Pattern Recognition (1.7k citations), Media Technology (482 citations), Oceanography (611 citations) and Instrumentation (138 citations). Shunjun Wei has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Xiaoling Zhang, Junren Shi, Hao Su, Tianwen Zhang, Jun Shi, Mou Wang, Qizhe Qu, Xiangfeng Zeng, Jiadian Liang and Chen Wang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, IEEE Access, ISPRS Journal of Photogrammetry and Remote Sensing and Electromagnetic waves.
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.