Yongli Song
- Modeling and Simulation top 0.2%
- Mathematical Biology Tumor Growth 32
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- Mathematical and Theoretical Epidemiology and Ecology Models 90
- Computer Networks and Communications top 0.5%
- Nonlinear Dynamics and Pattern Formation 57
- Neural Networks Stability and Synchronization 17
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- stochastic dynamics and bifurcation 15
- Genetics top 1%
- Evolution and Genetic Dynamics 43
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- Nonlinear Differential Equations Analysis 14
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- Advanced Differential Equations and Dynamical Systems 10
Yongli Song
114 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 93
- Modeling and Simulation 901
- Public Health, Environmental and Occupational Health 2.4k
- Computer Networks and Communications 1.5k
- Statistical and Nonlinear Physics 659
- Genetics 1.5k
Countries citing papers authored by Yongli Song
This map shows the geographic impact of Yongli 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 Yongli Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongli Song more than expected).
Fields of papers citing papers by Yongli Song
This network shows the impact of papers produced by Yongli 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 Yongli Song. The network helps show where Yongli Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yongli 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 3 | |
| 6 | Analyzing the Role of Septin9 Gene Methylation in the Diagnosis and Treatment of Primary Liver Cancer in the Elderly. | 2023 | 1 |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 7 | |
| 11 | 2017 | 35 | |
| 12 | 2014 | 67 | |
| 13 | 2013 | 3 | |
| 14 | 2012 | 27 | |
| 15 | 2007 | 66 | |
| 16 | 2006 | 17 | |
| 17 | 2005 | 5 | |
| 18 | 2005 | 16 | |
| 19 | 2004 | 165 | |
| 20 | Insecticide resistance in the small brown planthopper (Laodelphax striatellus Fallen) (1). Local variations in susceptibility of small brown planthopper to malathion and NAC. | 1975 | 4 |
About Yongli Song
Yongli Song is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Computer Networks and Communications, having authored 122 papers that have together received 3.3k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (90 papers), Nonlinear Dynamics and Pattern Formation (57 papers), Evolution and Genetic Dynamics (43 papers), Mathematical Biology Tumor Growth (32 papers), Neural Networks Stability and Synchronization (17 papers), stochastic dynamics and bifurcation (15 papers), Nonlinear Differential Equations Analysis (14 papers) and Advanced Differential Equations and Dynamical Systems (10 papers). The work is most often cited by research in Modeling and Simulation (901 citations), Public Health, Environmental and Occupational Health (2.4k citations) and Computer Networks and Communications (1.5k citations). Yongli Song has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Junjie Wei, Yahong Peng, Xiaosong Tang, Tonghua Zhang, Maoan Han, Shuhao Wu, Xingfu Zou, Sanling Yuan, Hao Wang and Junping Shi. Their work appears in journals such as Physics Letters A, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.