Binxiang Dai
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Fractional Differential Equations Solutions
- Applied Mathematics top 1%
- Nonlinear Differential Equations Analysis
Papers in
-
- Fractional Differential Equations Solutions 21
- Mathematical Biology Tumor Growth 20
-
- Differential Equations and Numerical Methods 26
- Co-authors
- Renji HanLiang BaiLakshmi Narayan GuinYuming ChenDan ZhangZhenzhen LiQizhen XiaoYuanfu Shao
In The Last Decade
Binxiang Dai
103 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Modeling and Simulation 323
- Applied Mathematics 409
- Numerical Analysis 194
- Public Health, Environmental and Occupational Health 703
- Geometry and Topology 133
Countries citing papers authored by Binxiang Dai
This map shows the geographic impact of Binxiang 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 Binxiang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binxiang Dai more than expected).
Fields of papers citing papers by Binxiang Dai
This network shows the impact of papers produced by Binxiang 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 Binxiang Dai. The network helps show where Binxiang Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Binxiang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 18 | |
| 10 | 2019 | 8 | |
| 11 | 2018 | 14 | |
| 12 | Existence and multiplicity of periodic solutions generated by impulses for second-order Hamiltonian system | 2014 | 1 |
| 13 | 2014 | 8 | |
| 14 | 2011 | 29 | |
| 15 | 2011 | 18 | |
| 16 | 2008 | 18 | |
| 17 | 2006 | 6 | |
| 18 | 2006 | 9 | |
| 19 | 1998 | 1 | |
| 20 | 1998 | 5 |
About Binxiang Dai
Binxiang Dai is a scholar working on Modeling and Simulation, Numerical Analysis, Applied Mathematics, Public Health, Environmental and Occupational Health and Geometry and Topology, having authored 115 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (78 papers), Nonlinear Differential Equations Analysis (49 papers), Evolution and Genetic Dynamics (40 papers), Differential Equations and Numerical Methods (26 papers), Fractional Differential Equations Solutions (21 papers), Mathematical Biology Tumor Growth (20 papers), Advanced Differential Equations and Dynamical Systems (17 papers) and Nonlinear Dynamics and Pattern Formation (15 papers). The work is most often cited by research in Modeling and Simulation (323 citations), Applied Mathematics (409 citations), Numerical Analysis (194 citations), Public Health, Environmental and Occupational Health (703 citations) and Geometry and Topology (133 citations). Binxiang Dai has collaborated with scholars based in China, Canada and Yemen. Frequent co-authors include Renji Han, Liang Bai, Lakshmi Narayan Guin, Yuming Chen, Dan Zhang, Zhenzhen Li, Qizhen Xiao, Yuanfu Shao, Hua Su and Lihong Huang. Their work appears in journals such as Applied Mathematics and Computation, Nonlinear Analysis Real World Applications, Journal of Mathematical Analysis and Applications, Advances in Difference Equations and Mathematical Methods in the Applied Sciences.
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.