Sanling Yuan

433 citations
19 papers · 381 indexed · h-index 10
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (16 papers)Mathematical Biology Tumor Growth (6 papers)Nonlinear Differential Equations Analysis (4 papers)
Partner nations
ChinaAustraliaCanada

In The Last Decade

Sanling Yuan

18 papers receiving 352 citations

Peers

Sanling Yuan
Comparison fields: 5 of 46
  • Public Health, Environmental and Occupational Health 332
  • Genetics 198
  • Modeling and Simulation 153
  • Computer Networks and Communications 112
  • Sociology and Political Science 41
Replace R. P. Gupta with:
R. P. Gupta India
Hunki Baek South Korea
Zhong Zhao China
Radouane Yafia Morocco
Liujuan Chen China
Gaihui Guo China
Chunjin Wei China
Mengxin He China
Zhihua Liu China
Cun‐Hua Zhang China
Sanling Yuan relative to R. P. Gupta India R. P. Gupta's profile →
Citations per field
00.5×1.5×
R. P. Gupta · 1×
Citations per year

Countries citing papers authored by Sanling Yuan

Since Specialization
Citations

This map shows the geographic impact of Sanling Yuan'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 Sanling Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanling Yuan more than expected).

Fields of papers citing papers by Sanling Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanling Yuan. 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 Sanling Yuan. The network helps show where Sanling Yuan may publish in the future.

Co-authorship network of co-authors of Sanling Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Sanling Yuan. A scholar is included among the top collaborators of Sanling Yuan 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 Sanling Yuan. Sanling Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 4
2 5
3 11
4 12
5 0
6 1
7 2
8 8
9 129
10 7
11 18
12 11
13 3
14 4
15 21
16 17
17 95
18 13
19 20

About Sanling Yuan

Sanling Yuan is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Applied Mathematics, having authored 19 papers that have together received 381 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Mathematical Biology Tumor Growth (6 papers) and Nonlinear Differential Equations Analysis (4 papers). The work is most often cited by research in Modeling and Simulation (153 citations), Public Health, Environmental and Occupational Health (332 citations) and Genetics (198 citations). Sanling Yuan has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Yongli Song, Tonghua Zhang, Chaoqun Xu, Maoan Han, Weiguo Zhang, Kaifa Wang, Dianli Zhao, Huaiping Zhu, Pan Li and Shengnan Zhao. Their work appears in journals such as Chaos Solitons & Fractals, Applied Mathematical Modelling and Nonlinear Analysis.

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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