Bixiang Wang
- Computational Theory and Mathematics top 0.05%
- Advanced Mathematical Modeling in Engineering 93
- Control and Systems Engineering top 0.1%
- Stability and Controllability of Differential Equations 118
- Mathematical Physics top 0.5%
- Advanced Mathematical Physics Problems 41
- Numerical methods in inverse problems 9
- Applied Mathematics top 0.5%
- Nonlinear Partial Differential Equations 11
- Nonlinear Differential Equations Analysis 9
- Finance top 0.5%
- Stochastic processes and financial applications 18
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- Nonlinear Dynamics and Pattern Formation 34
Bixiang Wang
148 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Computational Theory and Mathematics 3.7k
- Control and Systems Engineering 4.6k
- Mathematical Physics 1.4k
- Applied Mathematics 1.2k
- Finance 1.0k
Countries citing papers authored by Bixiang Wang
This map shows the geographic impact of Bixiang Wang'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 Bixiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bixiang Wang more than expected).
Fields of papers citing papers by Bixiang Wang
This network shows the impact of papers produced by Bixiang Wang. 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 Bixiang Wang. The network helps show where Bixiang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bixiang Wang, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 29 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 27 | |
| 12 | 2019 | 87 | |
| 13 | 2019 | 70 | |
| 14 | 2017 | 93 | |
| 15 | 2016 | 64 | |
| 16 | 2014 | 47 | |
| 17 | Asymptotic behavior of non-autonomous stochastic parabolic equations with nonlinear Laplacian principal part | 2013 | 6 |
| 18 | 2006 | 72 | |
| 19 | 1999 | 2 | |
| 20 | 1996 | 1 |
About Bixiang Wang
Bixiang Wang is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Control and Systems Engineering, Applied Mathematics and Finance, having authored 156 papers that have together received 6.4k indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (118 papers), Advanced Mathematical Modeling in Engineering (93 papers), Advanced Mathematical Physics Problems (41 papers), Nonlinear Dynamics and Pattern Formation (34 papers), Stochastic processes and financial applications (18 papers), Nonlinear Partial Differential Equations (11 papers), Nonlinear Differential Equations Analysis (9 papers) and Numerical methods in inverse problems (9 papers). The work is most often cited by research in Computational Theory and Mathematics (3.7k citations), Control and Systems Engineering (4.6k citations), Mathematical Physics (1.4k citations), Applied Mathematics (1.2k citations) and Finance (1.0k citations). Bixiang Wang has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Kening Lu, Hualan Rui, Peter W. Bates, Xiaohu Wang, Renhai Wang, Dingshi Li, M. Mu, Wansuo Duan, Anhui Gu and Yang He. Their work appears in journals such as Journal of Differential Equations, Discrete and Continuous Dynamical Systems, Discrete and Continuous Dynamical Systems - B, Nonlinear Analysis and Stochastics and Dynamics.
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.