Guangying Lv
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions 10
- Applied Mathematics top 5%
- Nonlinear Differential Equations Analysis 15
- Nonlinear Partial Differential Equations 13
- Navier-Stokes equation solutions 8
- Mathematical Physics top 5%
- Numerical Analysis top 10%
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- Mathematical and Theoretical Epidemiology and Ecology Models 26
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- Stability and Controllability of Differential Equations 24
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- Advanced Mathematical Modeling in Engineering 21
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- Stochastic processes and financial applications 20
- Co-authors
- Mingxin WangGuang‐an ZouJiang-Lun WuJinqiao DuanXiaohuan WangHui GaoBeibei ZhangPeter Y. H. Pang
- Journals
- Journal of the Franklin Institute (1 paper)Journal of Mathematical Analysis and Applications (6 papers)Physica A Statistical Mechanics and its Applications (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Guangying Lv
69 papers receiving 528 citations
Peers
Comparison fields: 5 of 43
- Modeling and Simulation 169
- Applied Mathematics 204
- Mathematical Physics 121
- Statistical and Nonlinear Physics 153
- Numerical Analysis 66
Countries citing papers authored by Guangying Lv
This map shows the geographic impact of Guangying Lv'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 Guangying Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangying Lv more than expected).
Fields of papers citing papers by Guangying Lv
This network shows the impact of papers produced by Guangying Lv. 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 Guangying Lv. The network helps show where Guangying Lv may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guangying Lv, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 1 | |
| 10 | 2019 | 3 | |
| 11 | 2018 | 2 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 10 | |
| 14 | 2016 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2015 | 2 | |
| 17 | 2014 | 5 | |
| 18 | 2014 | 19 | |
| 19 | 2011 | 18 | |
| 20 | 2010 | 5 |
About Guangying Lv
Guangying Lv is a scholar working on Modeling and Simulation, Applied Mathematics and Finance, having authored 79 papers that have together received 565 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (26 papers), Stability and Controllability of Differential Equations (24 papers), Advanced Mathematical Modeling in Engineering (21 papers), Stochastic processes and financial applications (20 papers), Nonlinear Differential Equations Analysis (15 papers), Nonlinear Partial Differential Equations (13 papers), Fractional Differential Equations Solutions (10 papers) and Navier-Stokes equation solutions (8 papers). The work is most often cited by research in Modeling and Simulation (169 citations), Applied Mathematics (204 citations) and Mathematical Physics (121 citations). Guangying Lv has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Mingxin Wang, Guang‐an Zou, Jiang-Lun Wu, Jinqiao Duan, Xiaohuan Wang, Hui Gao, Xiaohuan Wang, Beibei Zhang, Peter Y. H. Pang and Shuangfeng Wang. Their work appears in journals such as Journal of the Franklin Institute, Journal of Mathematical Analysis and Applications and Physica A Statistical Mechanics and its Applications.
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.