Chunjin Wei

473 citations
33 papers · 371 · h-index 13

Impact in

Papers in

Chunjin Wei

29 papers receiving 360 citations

Peers

Chunjin Wei
Comparison fields: 5 of 52
  • Modeling and Simulation 147
  • Public Health, Environmental and Occupational Health 305
  • Genetics 177
  • Geometry and Topology 36
  • Applied Mathematics 39
Replace Yasuhisa Saito with:
Yasuhisa Saito Japan
Sanling Yuan China
Liujuan Chen China
Yi Song China
R. P. Gupta India
Atasi Patra Maiti India
Hunki Baek South Korea
Mengxin He China
Yunfei Lv China
Zhihua Liu China
Chunjin Wei relative to Yasuhisa Saito Japan Yasuhisa Saito's profile →
Citations per field
00.5×4.1×
Yasuhisa Saito · 1×
Citations per year

Countries citing papers authored by Chunjin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Chunjin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Chunjin Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chunjin Wei Line = papers co-authored together Chunjin Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200850
2 201334
3 201824
4 201421
5 202121
6 201918
7 201918
8 202018
9 201217
10 201316
11 200915
12 201914
13 201813
14 202012
15 201712
16 201911
17 201810
18 20089
19 20138
20 20215

About Chunjin Wei

Chunjin Wei is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Sociology and Political Science and Geometry and Topology, having authored 33 papers that have together received 371 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (29 papers), Evolution and Genetic Dynamics (21 papers), Mathematical Biology Tumor Growth (8 papers), COVID-19 epidemiological studies (6 papers), Evolutionary Game Theory and Cooperation (6 papers), Advanced Differential Equations and Dynamical Systems (4 papers), Nonlinear Dynamics and Pattern Formation (3 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (147 citations), Public Health, Environmental and Occupational Health (305 citations), Genetics (177 citations), Geometry and Topology (36 citations) and Applied Mathematics (39 citations). Chunjin Wei has collaborated with scholars based in China. Frequent co-authors include Lansun Chen, Shuwen Zhang, Zhewen Chen, Xiaohui Liu, Jiang Li, Li Jiang, Lan‐Sun Chen, Ziyan Lin, Yingjie Fu and Ruimin Zhang. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Nonlinear Dynamics, Advances in Difference Equations, Applied Mathematics Letters and Journal of Biological Dynamics.

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.

Explore authors with similar magnitude of impact