Shafei Wang
Impact in
- Artificial Intelligence top 10%
- Wireless Signal Modulation Classification
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- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Particle accelerators and beam dynamics
Papers in
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- Wireless Signal Modulation Classification 7
- Topic Modeling 6
- Advanced Graph Neural Networks 5
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- Advanced SAR Imaging Techniques 7
- Radar Systems and Signal Processing 5
- Co-authors
- Yan Li (5 shared papers)Yunjie Li (8 shared papers)Yong Luo (8 shared papers)Jianxun Wang (4 shared papers)Mengtao Zhu (6 shared papers)Ran Yan (3 shared papers)Guo Liu (3 shared papers)Guoxiang Shu (3 shared papers)
In The Last Decade
Shafei Wang
31 papers receiving 304 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 114
- Aerospace Engineering 86
- Atomic and Molecular Physics, and Optics 101
- Electrical and Electronic Engineering 137
- Control and Systems Engineering 55
Countries citing papers authored by Shafei Wang
This map shows the geographic impact of Shafei Wang'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 Shafei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shafei Wang more than expected).
Fields of papers citing papers by Shafei Wang
This network shows the impact of papers produced by Shafei Wang. 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 Shafei Wang. The network helps show where Shafei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shafei Wang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 33 | |
| 2 | 2021 | 28 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 26 | |
| 5 | 2015 | 20 | |
| 6 | 2016 | 20 | |
| 7 | 2023 | 19 | |
| 8 | 2016 | 18 | |
| 9 | 2016 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2015 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2015 | 11 | |
| 14 | 2010 | 7 | |
| 15 | 2015 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2015 | 4 | |
| 20 | 2022 | 3 |
About Shafei Wang
Shafei Wang is a scholar working on Artificial Intelligence, Aerospace Engineering, Electrical and Electronic Engineering, Control and Systems Engineering and Atomic and Molecular Physics, and Optics, having authored 37 papers that have together received 305 indexed citations. Recurring topics across this work include Gyrotron and Vacuum Electronics Research (10 papers), Advanced SAR Imaging Techniques (7 papers), Wireless Signal Modulation Classification (7 papers), Microwave Engineering and Waveguides (6 papers), Pulsed Power Technology Applications (6 papers), Topic Modeling (6 papers), Advanced Graph Neural Networks (5 papers) and Radar Systems and Signal Processing (5 papers). The work is most often cited by research in Artificial Intelligence (114 citations), Aerospace Engineering (86 citations), Atomic and Molecular Physics, and Optics (101 citations), Electrical and Electronic Engineering (137 citations) and Control and Systems Engineering (55 citations). Shafei Wang has collaborated with scholars based in China and Australia. Frequent co-authors include Yan Li, Yunjie Li, Yong Luo, Jianxun Wang, Mengtao Zhu, Ran Yan, Guo Liu, Guoxiang Shu, Yong Luo and Junan Yang. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Signal Processing, IEEE Transactions on Neural Networks and Learning Systems and Physics Letters A.
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.