Dan Dai
Impact in
- Applied Mathematics top 5%
- Mathematical functions and polynomials
- Statistics and Probability top 5%
- Random Matrices and Applications
Papers in
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- Mathematical functions and polynomials 17
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- Random Matrices and Applications 11
- Co-authors
- Yu‐Qiu Zhao (4 shared papers)Lun Zhang (5 shared papers)Yang Chen (1 shared paper)Roderick S. C. Wong (1 shared paper)Arno B. J. Kuijlaars (1 shared paper)Xiang-Sheng Wang (5 shared papers)Mourad E. H. Ismail (4 shared papers)Xiang Rao (3 shared papers)
- Journals
- Journal of Approximation Theory (5 papers)Studies in Applied Mathematics (4 papers)Random Matrices Theory and Application (2 papers)Analysis and Applications (2 papers)Engineering Analysis with Boundary Elements (2 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Dan Dai
36 papers receiving 310 citations
Peers
Comparison fields: 5 of 40
- Applied Mathematics 172
- Statistics and Probability 103
- Modeling and Simulation 44
- Discrete Mathematics and Combinatorics 32
- Algebra and Number Theory 38
Countries citing papers authored by Dan Dai
This map shows the geographic impact of Dan Dai'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 Dan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Dai more than expected).
Fields of papers citing papers by Dan Dai
This network shows the impact of papers produced by Dan Dai. 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 Dan Dai. The network helps show where Dan Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Dai, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 34 | |
| 2 | 2010 | 34 | |
| 3 | 2014 | 27 | |
| 4 | 2014 | 24 | |
| 5 | 2007 | 22 | |
| 6 | 2009 | 20 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2010 | 12 | |
| 10 | 2013 | 12 | |
| 11 | 2002 | 12 | |
| 12 | 2018 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2018 | 5 |
About Dan Dai
Dan Dai is a scholar working on Applied Mathematics, Statistics and Probability, Discrete Mathematics and Combinatorics, Modeling and Simulation and Statistical and Nonlinear Physics, having authored 36 papers that have together received 319 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (17 papers), Random Matrices and Applications (11 papers), Nonlinear Waves and Solitons (8 papers), Fractional Differential Equations Solutions (7 papers), Advanced Mathematical Identities (6 papers), Advanced Combinatorial Mathematics (6 papers), Quantum Mechanics and Non-Hermitian Physics (4 papers) and Algebraic structures and combinatorial models (3 papers). The work is most often cited by research in Applied Mathematics (172 citations), Statistics and Probability (103 citations), Modeling and Simulation (44 citations), Discrete Mathematics and Combinatorics (32 citations) and Algebra and Number Theory (38 citations). Dan Dai has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Yu‐Qiu Zhao, Lun Zhang, Yang Chen, Roderick S. C. Wong, Arno B. J. Kuijlaars, Xiang-Sheng Wang, Mourad E. H. Ismail, Xiang Rao, Renyi Cao and Heinrich Begehr. Their work appears in journals such as Journal of Approximation Theory, Studies in Applied Mathematics, Random Matrices Theory and Application, Analysis and Applications and Engineering Analysis with Boundary Elements.
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.