Bin Han

115 papers and 2.8k indexed citations i.

About

Bin Han is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics and Computational Mechanics. According to data from OpenAlex, Bin Han has authored 115 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Vision and Pattern Recognition, 60 papers in Applied Mathematics and 50 papers in Computational Mechanics. Recurrent topics in Bin Han’s work include Image and Signal Denoising Methods (75 papers), Mathematical Analysis and Transform Methods (60 papers) and Advanced Numerical Analysis Techniques (36 papers). Bin Han is often cited by papers focused on Image and Signal Denoising Methods (75 papers), Mathematical Analysis and Transform Methods (60 papers) and Advanced Numerical Analysis Techniques (36 papers). Bin Han collaborates with scholars based in Canada, China and United States. Bin Han's co-authors include Zuowei Shen, Ingrid Daubechies, Amos Ron, Rong-Qing Jia, Qun Mo, Xiaosheng Zhuang, Martin Ehler, Thomas Yu, Yi Shen and Elena Braverman and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Bin Han i

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.

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).

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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2025