Xinyu Song

4.5k total citations
227 papers, 3.7k citations indexed

About

Xinyu Song is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Xinyu Song has authored 227 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Public Health, Environmental and Occupational Health, 92 papers in Genetics and 70 papers in Modeling and Simulation. Recurrent topics in Xinyu Song's work include Mathematical and Theoretical Epidemiology and Ecology Models (143 papers), Evolution and Genetic Dynamics (85 papers) and Fractional Differential Equations Solutions (30 papers). Xinyu Song is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (143 papers), Evolution and Genetic Dynamics (85 papers) and Fractional Differential Equations Solutions (30 papers). Xinyu Song collaborates with scholars based in China, United States and Canada. Xinyu Song's 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 and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Xinyu Song

215 papers receiving 3.5k citations

Peers

Xinyu Song
Comparison fields: 5 of 131
  • Public Health, Environmental and Occupational Health 2.8k
  • Genetics 1.7k
  • Modeling and Simulation 1.3k
  • Sociology and Political Science 411
  • Computer Networks and Communications 304
Replace Wendi Wang with:
Wendi Wang China
T. K. Kar India
Shengqiang Liu China
Huaiping Zhu Canada
Xinzhu Meng China
Malay Banerjee India
G. P. Samanta India
Robert Cheke United Kingdom
Nakul Chitnis Switzerland
Rui Xu China
Wendi Wang China View profile →
Citations per field, relative to Xinyu Song
Xinyu Song · 1×
Citations per year, relative to Xinyu Song
Xinyu Song · 1×

Countries citing papers authored by Xinyu Song

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Xinyu Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyu Song. A scholar is included among the top collaborators of Xinyu Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinyu Song. Xinyu Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 2
5 1
6 4
7 2
8 5
9 1
10 7
11 9
12 5
13 16
14
A Predator-prey System with Impulsive State Feedback Control
4
15
Dynamic Property of An Epidemic Model with Nonlinear Incidence Rate
1
16 4
17 1
18 190
19 2
20 41

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.

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