Youping Yang

400 citations
19 papers · 318 indexed · h-index 11
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (17 papers)COVID-19 epidemiological studies (8 papers)Evolution and Genetic Dynamics (8 papers)
Partner nations
ChinaCanada

In The Last Decade

Youping Yang

18 papers receiving 301 citations

Peers

Youping Yang
Comparison fields: 5 of 61
  • Public Health, Environmental and Occupational Health 228
  • Modeling and Simulation 164
  • Genetics 113
  • Epidemiology 51
  • Infectious Diseases 43
Replace Hasan S. Panigoro with:
Hasan S. Panigoro Indonesia
Hebatallah J. Alsakaji United Arab Emirates
Sangeeta Saha India
Yali Yang China
Sanhong Liu China
Peter J. Witbooi South Africa
Tarik Mohammed Touaoula Algeria
P.K. Santra India
Dhiraj Kumar Das India
İsnani Darti Indonesia
Youping Yang relative to Hasan S. Panigoro Indonesia Hasan S. Panigoro's profile →
Citations per field
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Hasan S. Panigoro · 1×
Citations per year

Countries citing papers authored by Youping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Youping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youping Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Youping Yang. A scholar is included among the top collaborators of Youping Yang 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 Youping Yang. Youping Yang 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 0
2 3
3 12
4 11
5 19
6 14
7 2
8 9
9 3
10 20
11 9
12 1
13 17
14 29
15 8
16 42
17 21
18 64
19 34

About Youping Yang

Youping Yang is a scholar working on Modeling and Simulation, Virology and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 318 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (17 papers), COVID-19 epidemiological studies (8 papers) and Evolution and Genetic Dynamics (8 papers). The work is most often cited by research in Modeling and Simulation (164 citations), Public Health, Environmental and Occupational Health (228 citations) and Virology (22 citations). Youping Yang has collaborated with scholars based in China and Canada. Frequent co-authors include Yanni Xiao, Jian Wu, Yicang Zhou, Sanyi Tang, Zhien Ma, Airong Wei, Hui Wang, Xiaodi Li, Rongbing Huang and Laijun Zhao. Their work appears in journals such as PLoS ONE, Journal of Mathematical Analysis and Applications and Chaos Solitons & Fractals.

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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