Jun Xian
Impact in
- Applied Mathematics top 2%
- Mathematical Analysis and Transform Methods
- Advanced Harmonic Analysis Research
- Mathematical Physics top 10%
- Numerical methods in inverse problems
Papers in
-
- Mathematical Analysis and Transform Methods 28
- Advanced Harmonic Analysis Research 4
-
- Image and Signal Denoising Methods 21
- Co-authors
- Li Song (1 shared paper)Qiyu Sun (3 shared papers)Hartmut Führ (3 shared papers)Wei Lin (4 shared papers)Wenchang Sun (1 shared paper)Yaxu Li (3 shared papers)M. Zuhair Nashed (1 shared paper)Jinming Wen (2 shared papers)
- Journals
- Applied and Computational Harmonic Analysis (5 papers)Inverse Problems (2 papers)Numerical Functional Analysis and Optimization (2 papers)Analysis and Applications (2 papers)Applied Mathematics and Computation (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Xian
45 papers receiving 360 citations
Peers
Comparison fields: 5 of 65
- Applied Mathematics 236
- Mathematical Physics 70
- Computer Vision and Pattern Recognition 147
- Acoustics and Ultrasonics 6
- Computational Mechanics 100
Countries citing papers authored by Jun Xian
This map shows the geographic impact of Jun Xian'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 Xian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xian more than expected).
Fields of papers citing papers by Jun Xian
This network shows the impact of papers produced by Jun Xian. 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 Xian. The network helps show where Jun Xian may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xian, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 41 | |
| 2 | 2005 | 32 | |
| 3 | 2018 | 30 | |
| 4 | 2007 | 26 | |
| 5 | 2012 | 23 | |
| 6 | 2013 | 18 | |
| 7 | 2010 | 18 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 14 | |
| 10 | 2019 | 12 | |
| 11 | 2003 | 11 | |
| 12 | 2009 | 10 | |
| 13 | 2009 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2013 | 9 | |
| 16 | 2007 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2022 | 7 |
About Jun Xian
Jun Xian is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 53 papers that have together received 373 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (28 papers), Image and Signal Denoising Methods (21 papers), Sparse and Compressive Sensing Techniques (10 papers), Medical Imaging Techniques and Applications (9 papers), Advanced Numerical Analysis Techniques (7 papers), Seismic Imaging and Inversion Techniques (4 papers), Advanced Harmonic Analysis Research (4 papers) and Numerical methods in engineering (3 papers). The work is most often cited by research in Applied Mathematics (236 citations), Mathematical Physics (70 citations), Computer Vision and Pattern Recognition (147 citations), Acoustics and Ultrasonics (6 citations) and Computational Mechanics (100 citations). Jun Xian has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Li Song, Qiyu Sun, Hartmut Führ, Wei Lin, Wenchang Sun, Yaxu Li, M. Zuhair Nashed, Jinming Wen, Li Song and Alan Wee‐Chung Liew. Their work appears in journals such as Applied and Computational Harmonic Analysis, Inverse Problems, Numerical Functional Analysis and Optimization, Analysis and Applications and Applied Mathematics and Computation.
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.