Bin Han

121 papers receiving 3.0k citations

Bin Han's Hit Papers

Framelets: MRA-based constructions of wavelet frames 2003 · 571 citations
5710+7+15Years since publication100200300400500

Peers

Bin Han
Comparison fields: 5 of 106
  • Applied Mathematics 2.0k
  • Computer Vision and Pattern Recognition 2.2k
  • Computational Mechanics 1.3k
  • Signal Processing 670
  • Geophysics 583
Replace S. D. Riemenschneider with:
S. D. Riemenschneider Canada
T. N. T. Goodman United Kingdom
Vladimír Britaňák Slovakia
M. Pawlak Canada
G.G. Walter United States
Greg Knowles United Kingdom
B. Dickinson United States
Yangyang Xu United States
Marian Neamtu United States
Rachel Ward United States
Bin Han relative to S. D. Riemenschneider Canada S. D. Riemenschneider's profile →
Citations per field
00.5×6.3×
S. D. Riemenschneider · 1×
Citations per year

Countries citing papers authored by Bin Han

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Bin Han Line = papers co-authored together Bin Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Framelets: MRA-based constructions of wavelet frames
Hit paper breakdown →
2003571
2 1997160
3 1998139
4 2003115
5 200383
6 200481
7 200875
8 200372
9 200168
10 201167
11 201759
12
PAIRS OF FREQUENCY-BASED NONHOMOGENEOUS DUAL WAVELET FRAMES IN THE DISTRIBUTION SPACE
201058
13 200857
14 200852
15 200451
16 199851
17 200348
18 200243
19 200243
20 200643

About Bin Han

Bin Han is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Computational Mechanics, Geophysics and Signal Processing, having authored 131 papers that have together received 3.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (77 papers), Mathematical Analysis and Transform Methods (60 papers), Advanced Numerical Analysis Techniques (42 papers), Seismic Imaging and Inversion Techniques (26 papers), Digital Filter Design and Implementation (23 papers), Advanced machining processes and optimization (11 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Applied Mathematics (2.0k citations), Computer Vision and Pattern Recognition (2.2k citations), Computational Mechanics (1.3k citations), Signal Processing (670 citations) and Geophysics (583 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, Advances in Computational Mathematics, Journal of Computational and Applied 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.

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