Xuejun Sha
Impact in
- Applied Mathematics top 2%
- Mathematical Analysis and Transform Methods
- Signal Processing top 5%
- Digital Filter Design and Implementation
Papers in
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- PAPR reduction in OFDM 38
- Advanced Wireless Communication Techniques 36
- Advanced MIMO Systems Optimization 26
- Wireless Communication Security Techniques 15
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- Wireless Communication Networks Research 33
- Co-authors
- Lin Mei (34 shared papers)Naitong Zhang (31 shared papers)Jun Shi (12 shared papers)Xiaojie Fang (41 shared papers)Qinyu Zhang (11 shared papers)Qun Wu (6 shared papers)Kuang Zhang (5 shared papers)Zhenduo Wang (10 shared papers)
In The Last Decade
Xuejun Sha
146 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 53
- Applied Mathematics 375
- Signal Processing 245
- Computer Vision and Pattern Recognition 384
- Electrical and Electronic Engineering 788
- Computer Networks and Communications 215
Countries citing papers authored by Xuejun Sha
This map shows the geographic impact of Xuejun Sha'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 Xuejun Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuejun Sha more than expected).
Fields of papers citing papers by Xuejun Sha
This network shows the impact of papers produced by Xuejun Sha. 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 Xuejun Sha. The network helps show where Xuejun Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuejun Sha, 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 69 | |
| 2 | 2013 | 51 | |
| 3 | 2012 | 50 | |
| 4 | 2017 | 48 | |
| 5 | 2017 | 48 | |
| 6 | 2010 | 44 | |
| 7 | 2011 | 42 | |
| 8 | 2018 | 42 | |
| 9 | 2017 | 37 | |
| 10 | 2018 | 31 | |
| 11 | 2017 | 30 | |
| 12 | 2018 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2012 | 25 | |
| 15 | 2015 | 24 | |
| 16 | 2014 | 22 | |
| 17 | 2012 | 21 | |
| 18 | 2012 | 19 | |
| 19 | 2013 | 18 | |
| 20 | 2015 | 18 |
About Xuejun Sha
Xuejun Sha is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Applied Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 164 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (41 papers), PAPR reduction in OFDM (38 papers), Advanced Wireless Communication Techniques (36 papers), Wireless Communication Networks Research (33 papers), Digital Filter Design and Implementation (28 papers), Advanced MIMO Systems Optimization (26 papers), Image and Signal Denoising Methods (21 papers) and Wireless Communication Security Techniques (15 papers). The work is most often cited by research in Applied Mathematics (375 citations), Signal Processing (245 citations), Computer Vision and Pattern Recognition (384 citations), Electrical and Electronic Engineering (788 citations) and Computer Networks and Communications (215 citations). Xuejun Sha has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Lin Mei, Naitong Zhang, Jun Shi, Xiaojie Fang, Qinyu Zhang, Qun Wu, Kuang Zhang, Zhenduo Wang, Xiaoping Liu and Yong Li. Their work appears in journals such as IEEE Communications Letters, China Communications, Science China Information Sciences, IEEE Transactions on Signal Processing and IEEE Wireless Communications Letters.
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.