Jun Shi
Impact in
- Applied Mathematics top 1%
- Mathematical Analysis and Transform Methods
- Signal Processing top 1%
- Digital Filter Design and Implementation
- Blind Source Separation Techniques
Papers in
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- Mathematical Analysis and Transform Methods 25
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- Digital Filter Design and Implementation 21
- Co-authors
- Naitong Zhang (19 shared papers)Xiaoping Liu (14 shared papers)Xiaoping Liu (4 shared papers)Q Zhang (9 shared papers)Xuejun Sha (12 shared papers)Wei Xiang (6 shared papers)Yanan Zhao (4 shared papers)Yonggang Chi (3 shared papers)
- Journals
- IEEE Transactions on Signal Processing (13 papers)Signal Processing (8 papers)IEEE Communications Letters (3 papers)Digital Signal Processing (3 papers)Chinese Journal of Aeronautics (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Shi
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 102
- Applied Mathematics 643
- Signal Processing 522
- Computer Vision and Pattern Recognition 751
- Control and Systems Engineering 238
- Media Technology 55
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 133 | |
| 2 | 2020 | 84 | |
| 3 | 2012 | 70 | |
| 4 | 2010 | 67 | |
| 5 | 2007 | 62 | |
| 6 | 2012 | 53 | |
| 7 | 2023 | 50 | |
| 8 | 2013 | 49 | |
| 9 | 2016 | 48 | |
| 10 | 2018 | 43 | |
| 11 | 2016 | 43 | |
| 12 | 2011 | 43 | |
| 13 | 2021 | 34 | |
| 14 | 2018 | 33 | |
| 15 | 2018 | 33 | |
| 16 | 2020 | 32 | |
| 17 | 2017 | 31 | |
| 18 | 2012 | 31 | |
| 19 | 2008 | 29 | |
| 20 | 2018 | 27 |
About Jun Shi
Jun Shi is a scholar working on Applied Mathematics, Signal Processing, Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (27 papers), Mathematical Analysis and Transform Methods (25 papers), Digital Filter Design and Implementation (21 papers), Radar Systems and Signal Processing (4 papers), Antenna Design and Optimization (4 papers), Advanced Control Systems Optimization (3 papers), Process Optimization and Integration (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Applied Mathematics (643 citations), Signal Processing (522 citations), Computer Vision and Pattern Recognition (751 citations), Control and Systems Engineering (238 citations) and Media Technology (55 citations). Jun Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Naitong Zhang, Xiaoping Liu, Xiaoping Liu, Q Zhang, Xuejun Sha, Wei Xiang, Yanan Zhao, Yonggang Chi, Ran Tao and Lorenz T. Biegler. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, IEEE Communications Letters, Digital Signal Processing and Chinese Journal of Aeronautics.
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.