Min Zhao

105 papers receiving 1.5k citations

Peers

Min Zhao
Comparison fields: 5 of 118
  • Modeling and Simulation 217
  • Public Health, Environmental and Occupational Health 788
  • Genetics 424
  • Computer Networks and Communications 359
  • Pollution 164
Replace Hengguo Yu with:
Hengguo Yu China
Ray R. Lassiter United States
Amit Chakraborty United States
Guang China
C. R. Curds United Kingdom
Francis Mairet France
Zhe Sun China
Michael J. Bazin United Kingdom
Florian Centler Germany
Min Zhao relative to Hengguo Yu China Hengguo Yu's profile →
Citations per field
00.5×4.2×
Hengguo Yu · 1×
Citations per year

Countries citing papers authored by Min Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Min Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min Zhao, 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 Min Zhao Line = papers co-authored together Min Zhao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017378
2 200666
3 200764
4 201651
5 202141
6 202037
7 201836
8 200632
9 200729
10 200928
11 200926
12 201226
13 201725
14 202025
15 201224
16 201324
17 200722
18 201921
19 201020
20 202319

About Min Zhao

Min Zhao is a scholar working on Public Health, Environmental and Occupational Health, Computer Networks and Communications, Genetics, Modeling and Simulation and Global and Planetary Change, having authored 110 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (73 papers), Nonlinear Dynamics and Pattern Formation (41 papers), Evolution and Genetic Dynamics (40 papers), Mathematical Biology Tumor Growth (17 papers), Ecosystem dynamics and resilience (16 papers), Evolutionary Game Theory and Cooperation (12 papers), Aquatic Ecosystems and Phytoplankton Dynamics (10 papers) and Marine and coastal ecosystems (7 papers). The work is most often cited by research in Modeling and Simulation (217 citations), Public Health, Environmental and Occupational Health (788 citations), Genetics (424 citations), Computer Networks and Communications (359 citations) and Pollution (164 citations). Min Zhao has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Hengguo Yu, Chuanjun Dai, Jinwen Zhu, Faisal Islam, Weijun Zhou, Qing X. Li, Stéphane Muños, Muhammad Ahsan Farooq, Jian Wang and Ling Xu. Their work appears in journals such as Abstract and Applied Analysis, Mathematical Biosciences & Engineering, Chaos Solitons & Fractals, Mathematics and Computers in Simulation and Journal of Cleaner Production.

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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