Bin Han
- Applied Mathematics top 0.2%
- Mathematical Analysis and Transform Methods 54
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- Image and Signal Denoising Methods 71
- Signal Processing top 1%
- Digital Filter Design and Implementation 23
- Computational Mechanics top 0.5%
- Advanced Numerical Analysis Techniques 41
- Advanced Numerical Methods in Computational Mathematics 9
- Sparse and Compressive Sensing Techniques 6
- Geophysics top 5%
- Seismic Imaging and Inversion Techniques 23
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- Advanced machining processes and optimization 10
- Co-authors
- Zuowei ShenIngrid DaubechiesAmos RonRong-Qing JiaQun MoXiaosheng ZhuangThomas YuMartin Ehler
- Journals
- Applied and Computational Harmonic Analysis (23 papers)Mathematics of Computation (9 papers)Journal of Computational and Applied Mathematics (6 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Bin Han
113 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Applied Mathematics 1.7k
- Computer Vision and Pattern Recognition 1.9k
- Signal Processing 622
- Computational Mechanics 1.2k
- Geophysics 491
Countries citing papers authored by Bin Han
This map shows the geographic impact of Bin Han'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 Bin Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Han more than expected).
Fields of papers citing papers by Bin Han
This network shows the impact of papers produced by Bin Han. 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 Bin Han. The network helps show where Bin Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bin Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 4 | |
| 5 | 2018 | 11 | |
| 6 | A Markov Model for Request-Based Inter-Slice Resource Management in 5G Networks. | 2018 | 2 |
| 7 | 2017 | 6 | |
| 8 | 2016 | 1 | |
| 9 | 2015 | 1 | |
| 10 | 2014 | 15 | |
| 11 | 2013 | 14 | |
| 12 | 2011 | 8 | |
| 13 | 2011 | 63 | |
| 14 | An Azimuth Resample Method For Bistatic SAR Motion Compensation | 2010 | 1 |
| 15 | 2008 | 52 | |
| 16 | 2004 | 44 | |
| 17 | Framelets: MRA-based constructions of wavelet framesbreakdown → | 2003 | 536 |
| 18 | 2003 | 74 | |
| 19 | 2003 | 111 | |
| 20 | 2002 | 14 |
About Bin Han
Bin Han is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing and Numerical Analysis, having authored 123 papers that have together received 2.9k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (71 papers), Mathematical Analysis and Transform Methods (54 papers), Advanced Numerical Analysis Techniques (41 papers), Digital Filter Design and Implementation (23 papers), Seismic Imaging and Inversion Techniques (23 papers), Advanced machining processes and optimization (10 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Sparse and Compressive Sensing Techniques (6 papers). The work is most often cited by research in Applied Mathematics (1.7k citations), Computer Vision and Pattern Recognition (1.9k citations), Signal Processing (622 citations), Computational Mechanics (1.2k citations) and Geophysics (491 citations). Bin Han has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Zuowei Shen, Ingrid Daubechies, Amos Ron, Rong-Qing Jia, Qun Mo, Xiaosheng Zhuang, Thomas Yu, Martin Ehler, Yi Shen and Elena Braverman. Their work appears in journals such as Applied and Computational Harmonic Analysis, Mathematics of Computation, Journal of Computational and Applied Mathematics, Advances in Computational Mathematics and SIAM Journal on Mathematical Analysis.
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.