Xinyu Song
- Modeling and Simulation top 0.1%
- Fractional Differential Equations Solutions 30
- Mathematical Biology Tumor Growth 23
- COVID-19 epidemiological studies 20
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- Mathematical and Theoretical Epidemiology and Ecology Models 143
- Genetics top 1%
- Evolution and Genetic Dynamics 85
- Virology top 2%
- Applied Mathematics top 2%
- Nonlinear Differential Equations Analysis 15
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- Evolutionary Game Theory and Cooperation 26
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- Nonlinear Dynamics and Pattern Formation 16
- Co-authors
- Lansun ChenXia WangXueyong ZhouXiangyun ShiAvidan U. NeumannYongfeng LiZhong ZhaoShaoli Wang
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xinyu Song
215 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 131
- Modeling and Simulation 1.3k
- Public Health, Environmental and Occupational Health 2.8k
- Genetics 1.7k
- Virology 273
- Applied Mathematics 302
Countries citing papers authored by Xinyu Song
This map shows the geographic impact of Xinyu Song'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 Xinyu Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyu Song more than expected).
Fields of papers citing papers by Xinyu Song
This network shows the impact of papers produced by Xinyu Song. 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 Xinyu Song. The network helps show where Xinyu Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinyu Song, 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 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 9 | |
| 12 | 2017 | 5 | |
| 13 | 2014 | 16 | |
| 14 | A Predator-prey System with Impulsive State Feedback Control | 2012 | 4 |
| 15 | Dynamic Property of An Epidemic Model with Nonlinear Incidence Rate | 2011 | 1 |
| 16 | 2011 | 4 | |
| 17 | 2011 | 1 | |
| 18 | 2006 | 190 | |
| 19 | 2003 | 2 | |
| 20 | 1998 | 41 |
About Xinyu Song
Xinyu Song is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 227 papers that have together received 3.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (143 papers), Evolution and Genetic Dynamics (85 papers), Fractional Differential Equations Solutions (30 papers), Evolutionary Game Theory and Cooperation (26 papers), Mathematical Biology Tumor Growth (23 papers), COVID-19 epidemiological studies (20 papers), Nonlinear Dynamics and Pattern Formation (16 papers) and Nonlinear Differential Equations Analysis (15 papers). The work is most often cited by research in Modeling and Simulation (1.3k citations), Public Health, Environmental and Occupational Health (2.8k citations) and Genetics (1.7k citations). Xinyu Song has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lansun Chen, Xia Wang, Xueyong Zhou, Xiangyun Shi, Avidan U. Neumann, Yongfeng Li, Zhong Zhao, Shaoli Wang, Jinǵan Cui and Libin Rong. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Applied Physics Letters.
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.