Min Ku
Impact in
- Applied Mathematics top 2%
- Algebraic and Geometric Analysis
- Holomorphic and Operator Theory
- Mathematical Analysis and Transform Methods
- Differential Equations and Boundary Problems
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- Advanced Topics in Algebra
Papers in
-
- Algebraic and Geometric Analysis 31
- Holomorphic and Operator Theory 29
- Mathematical Analysis and Transform Methods 23
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- Mathematics and Applications 3
- Co-authors
- Uwe Kähler (14 shared papers)Fuli He (10 shared papers)Daoshun Wang (4 shared papers)Jinyuan Du (4 shared papers)Paula Cerejeiras (5 shared papers)Frank Sommen (3 shared papers)Dong Lin (2 shared papers)Tao Qian (2 shared papers)
- Journals
- Mathematical Methods in the Applied Sciences (2 papers)Results in Mathematics (2 papers)Boundary Value Problems (1 paper)Journal of Fourier Analysis and Applications (1 paper)The Journal of Difference Equations and Applications (1 paper)
- Partner nations
- ChinaPortugalNetherlands
In The Last Decade
Min Ku
34 papers receiving 297 citations
Peers
Comparison fields: 5 of 30
- Applied Mathematics 275
- Algebra and Number Theory 32
- Geometry and Topology 56
- Mathematical Physics 28
- Statistical and Nonlinear Physics 15
Countries citing papers authored by Min Ku
This map shows the geographic impact of Min Ku'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 Min Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Ku more than expected).
Fields of papers citing papers by Min Ku
This network shows the impact of papers produced by Min Ku. 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 Min Ku. The network helps show where Min Ku may publish in the future.
Co-authors
The 15 scholars most cited alongside Min Ku, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 20 | |
| 2 | 2012 | 18 | |
| 3 | 2016 | 17 | |
| 4 | 2008 | 17 | |
| 5 | 2012 | 16 | |
| 6 | 2010 | 16 | |
| 7 | 2010 | 16 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 2014 | 14 | |
| 11 | 2009 | 13 | |
| 12 | 2012 | 13 | |
| 13 | 2010 | 12 | |
| 14 | 2011 | 12 | |
| 15 | 2008 | 12 | |
| 16 | 2010 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2016 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2017 | 8 |
About Min Ku
Min Ku is a scholar working on Applied Mathematics, Geometry and Topology, Computer Vision and Pattern Recognition, Algebra and Number Theory and Artificial Intelligence, having authored 35 papers that have together received 310 indexed citations. Recurring topics across this work include Algebraic and Geometric Analysis (31 papers), Holomorphic and Operator Theory (29 papers), Mathematical Analysis and Transform Methods (23 papers), Advanced Topics in Algebra (3 papers), Mathematics and Applications (3 papers), Cryptography and Data Security (2 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Chaos-based Image/Signal Encryption (2 papers). The work is most often cited by research in Applied Mathematics (275 citations), Algebra and Number Theory (32 citations), Geometry and Topology (56 citations), Mathematical Physics (28 citations) and Statistical and Nonlinear Physics (15 citations). Min Ku has collaborated with scholars based in China, Portugal and Netherlands. Frequent co-authors include Uwe Kähler, Fuli He, Daoshun Wang, Jinyuan Du, Paula Cerejeiras, Frank Sommen, Dong Lin, Tao Qian, Swanhild Bernstein and Jianzhong Wang. Their work appears in journals such as Mathematical Methods in the Applied Sciences, Results in Mathematics, Boundary Value Problems, Journal of Fourier Analysis and Applications and The Journal of Difference Equations and Applications.
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.