Siwei Duo
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
- Numerical methods for differential equations
Papers in
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- Differential Equations and Numerical Methods 5
- Numerical methods for differential equations 2
-
- Fractional Differential Equations Solutions 5
- Co-authors
- Yanzhi Zhang (8 shared papers)Hong Wang (1 shared paper)Lili Ju (1 shared paper)Taras I. Lakoba (1 shared paper)
- Journals
- Journal of Computational Physics (2 papers)Computers & Mathematics with Applications (2 papers)Computer Methods in Applied Mechanics and Engineering (1 paper)Communications in Computational Physics (1 paper)Journal of Scientific Computing (1 paper)
- Partner nations
- United States
In The Last Decade
Siwei Duo
10 papers receiving 347 citations
Peers
Comparison fields: 5 of 37
- Modeling and Simulation 222
- Numerical Analysis 199
- Statistical and Nonlinear Physics 90
- Applied Mathematics 73
- Mathematical Physics 55
Countries citing papers authored by Siwei Duo
This map shows the geographic impact of Siwei Duo'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 Siwei Duo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siwei Duo more than expected).
Fields of papers citing papers by Siwei Duo
This network shows the impact of papers produced by Siwei Duo. 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 Siwei Duo. The network helps show where Siwei Duo may publish in the future.
Co-authors
The 5 scholars most cited alongside Siwei Duo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 103 | |
| 2 | 2017 | 79 | |
| 3 | 2019 | 58 | |
| 4 | 2015 | 36 | |
| 5 | 2019 | 34 | |
| 6 | 2019 | 21 | |
| 7 | 2017 | 18 | |
| 8 | 2019 | 8 | |
| 9 | 2021 | 4 | |
| 10 | Numerical investigation on nonlocal problems with the fractional Laplacian | 2017 | 1 |
About Siwei Duo
Siwei Duo is a scholar working on Numerical Analysis, Modeling and Simulation, Mathematical Physics, Applied Mathematics and Statistical and Nonlinear Physics, having authored 10 papers that have together received 362 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (5 papers), Fractional Differential Equations Solutions (5 papers), Nonlinear Waves and Solitons (3 papers), Advanced Mathematical Modeling in Engineering (2 papers), Advanced Mathematical Physics Problems (2 papers), Numerical methods in inverse problems (2 papers), Numerical methods for differential equations (2 papers) and Nonlinear Photonic Systems (1 paper). The work is most often cited by research in Modeling and Simulation (222 citations), Numerical Analysis (199 citations), Statistical and Nonlinear Physics (90 citations), Applied Mathematics (73 citations) and Mathematical Physics (55 citations). Siwei Duo has collaborated with scholars based in United States. Frequent co-authors include Yanzhi Zhang, Hong Wang, Lili Ju, Hong Wang and Taras I. Lakoba. Their work appears in journals such as Journal of Computational Physics, Computers & Mathematics with Applications, Computer Methods in Applied Mechanics and Engineering, Communications in Computational Physics and Journal of Scientific Computing.
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.