Jun Shi
Impact in
- Aerospace Engineering top 0.2%
- Advanced SAR Imaging Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced SAR Imaging Techniques 125
- Synthetic Aperture Radar (SAR) Applications and Techniques 71
- Robotics and Sensor-Based Localization 18
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- Advanced Neural Network Applications 28
- Co-authors
- Shunjun Wei (146 shared papers)Xiaoling Zhang (147 shared papers)Tianwen Zhang (32 shared papers)Hao Su (13 shared papers)Xu Zhan (22 shared papers)Jiadian Liang (10 shared papers)Chen Wang (24 shared papers)Jianwei Li (7 shared papers)
In The Last Decade
Jun Shi
188 papers receiving 3.7k citations
Jun Shi's Hit Papers
Peers
Comparison fields: 5 of 110
- Aerospace Engineering 2.4k
- Computer Vision and Pattern Recognition 1.4k
- Media Technology 378
- Oceanography 502
- Ocean Engineering 495
Countries citing papers authored by Jun Shi
This map shows the geographic impact of Jun Shi'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 Jun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shi more than expected).
Fields of papers citing papers by Jun Shi
This network shows the impact of papers produced by Jun Shi. 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 Jun Shi. The network helps show where Jun Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Shi, 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 206 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis Hit paper breakdown → | 2021 | 445 |
| 2 | 2020 | 219 | |
| 3 | 2019 | 172 | |
| 4 | HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification Hit paper breakdown → | 2021 | 168 |
| 5 | 2020 | 147 | |
| 6 | 2021 | 135 | |
| 7 | 2020 | 125 | |
| 8 | 2020 | 123 | |
| 9 | 2020 | 106 | |
| 10 | 2021 | 79 | |
| 11 | 2021 | 77 | |
| 12 | 2020 | 76 | |
| 13 | 2020 | 73 | |
| 14 | 2022 | 66 | |
| 15 | 2021 | 61 | |
| 16 | 2019 | 58 | |
| 17 | 2007 | 57 | |
| 18 | 2021 | 51 | |
| 19 | 2013 | 46 | |
| 20 | 2021 | 39 |
About Jun Shi
Jun Shi is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Computational Mechanics and Artificial Intelligence, having authored 206 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (125 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (71 papers), Microwave Imaging and Scattering Analysis (45 papers), Sparse and Compressive Sensing Techniques (36 papers), Advanced Neural Network Applications (28 papers), Robotics and Sensor-Based Localization (18 papers), Geophysical Methods and Applications (16 papers) and Underwater Acoustics Research (16 papers). The work is most often cited by research in Aerospace Engineering (2.4k citations), Computer Vision and Pattern Recognition (1.4k citations), Media Technology (378 citations), Oceanography (502 citations) and Ocean Engineering (495 citations). Jun Shi has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Shunjun Wei, Xiaoling Zhang, Tianwen Zhang, Hao Su, Xu Zhan, Jiadian Liang, Chen Wang, Jianwei Li, Yue Zhou and Mou Wang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, Remote Sensing Letters, IEEE Antennas and Wireless Propagation Letters and IEEE Transactions on Instrumentation and Measurement.
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.