Chunhua Shan
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 1%
- Genetics top 10%
- Statistical and Nonlinear Physics top 10%
- Computer Networks and Communications
- Co-authors
- Huaiping ZhuJacques BélairAhmed AbdelrazecAlessandro ArsieYingfei YiQihua HuangZhen JinXiaoguang Zhang
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (16 papers)Evolution and Genetic Dynamics (10 papers)COVID-19 epidemiological studies (4 papers)
- Journals
- Journal of Differential EquationsSIAM Journal on Applied MathematicsMathematical Biosciences
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Chunhua Shan
19 papers receiving 447 citations
Peers
Comparison fields: 5 of 65
- Public Health, Environmental and Occupational Health 396
- Modeling and Simulation 251
- Genetics 203
- Statistical and Nonlinear Physics 67
- Computer Networks and Communications 51
Countries citing papers authored by Chunhua Shan
This map shows the geographic impact of Chunhua Shan'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 Chunhua Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunhua Shan more than expected).
Fields of papers citing papers by Chunhua Shan
This network shows the impact of papers produced by Chunhua Shan. 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 Chunhua Shan. The network helps show where Chunhua Shan may publish in the future.
Co-authorship network of co-authors of Chunhua Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Chunhua Shan. A scholar is included among the top collaborators of Chunhua Shan 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 Chunhua Shan. Chunhua Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 52 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | 41 | |
| 12 | 10 | |
| 13 | 18 | |
| 14 | 21 | |
| 15 | 1 | |
| 16 | 40 | |
| 17 | 98 | |
| 18 | 131 | |
| 19 | 11 | |
| 20 | 1 |
About Chunhua Shan
Chunhua Shan is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 20 papers that have together received 473 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Evolution and Genetic Dynamics (10 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Modeling and Simulation (251 citations), Public Health, Environmental and Occupational Health (396 citations) and Genetics (203 citations). Chunhua Shan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Huaiping Zhu, Jacques Bélair, Ahmed Abdelrazec, Alessandro Arsie, Yingfei Yi, Qihua Huang, Zhen Jin, Xiaoguang Zhang, Gunog Seo and Michael Y. Li. Their work appears in journals such as Journal of Differential Equations, SIAM Journal on Applied Mathematics and Mathematical Biosciences.
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.