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 16
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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 Wong (1 shared paper)Arno B. J. Kuijlaars (1 shared paper)Xiangsheng Wang (5 shared papers)Xiang Rao (3 shared papers)Mourad E. H. Ismail (4 shared papers)
- Journals
- Journal of Approximation Theory (5 papers)Studies in Applied Mathematics (4 papers)Communications in Mathematical Physics (2 papers)Random Matrices Theory and Application (2 papers)Engineering Analysis with Boundary Elements (2 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Dan Dai
33 papers receiving 285 citations
Peers
Comparison fields: 5 of 40
- Applied Mathematics 160
- Statistics and Probability 95
- Discrete Mathematics and Combinatorics 31
- Modeling and Simulation 40
- Algebra and Number Theory 31
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 32 | |
| 2 | 2019 | 32 | |
| 3 | 2014 | 25 | |
| 4 | 2007 | 22 | |
| 5 | 2014 | 21 | |
| 6 | 2009 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2013 | 12 | |
| 10 | 2010 | 12 | |
| 11 | 2002 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2024 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2016 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2008 | 4 | |
| 20 | 2013 | 4 |
About Dan Dai
Dan Dai is a scholar working on Applied Mathematics, Statistics and Probability, Statistical and Nonlinear Physics, Discrete Mathematics and Combinatorics and Mathematical Physics, having authored 35 papers that have together received 295 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (16 papers), Random Matrices and Applications (11 papers), Nonlinear Waves and Solitons (8 papers), Advanced Mathematical Identities (6 papers), Fractional Differential Equations Solutions (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 (160 citations), Statistics and Probability (95 citations), Discrete Mathematics and Combinatorics (31 citations), Modeling and Simulation (40 citations) and Algebra and Number Theory (31 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 Wong, Arno B. J. Kuijlaars, Xiangsheng Wang, Xiang Rao, Mourad E. H. Ismail, Linsong Cheng and Renyi Cao. Their work appears in journals such as Journal of Approximation Theory, Studies in Applied Mathematics, Communications in Mathematical Physics, Random Matrices Theory and Application 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.