Jinliang Wang

3.7k citations
153 papers · 2.9k indexed · h-index 31

Jinliang Wang

142 papers receiving 2.8k citations

Peers

Jinliang Wang
Comparison fields: 5 of 170
  • Modeling and Simulation 1.1k
  • Public Health, Environmental and Occupational Health 1.4k
  • Genetics 898
  • Agronomy and Crop Science 204
  • Virology 93
Replace Andrea Pugliese with:
Andrea Pugliese Italy
Robert J. Smith Canada
Lin Wang China
J. Christian J. Ray United States
Shweta Bansal United States
Maia Martcheva United States
Catherine A. A. Beauchemin Canada
Lindi M. Wahl Canada
Xianning Liu China
Marcel Salathé Switzerland
Jinliang Wang relative to Andrea Pugliese Italy Andrea Pugliese's profile →
Citations per field
00.5×2.6×
Andrea Pugliese · 1×
Citations per year

Countries citing papers authored by Jinliang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jinliang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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18
Global stability of a delay differential equation of hepatitis B virus infection with immune response
201311
19
The Application of Geo-information Techniques for Construction of IOT
20110
20
Effects of the serum containing anti-cancer prescrirtion on expression of HepG2 apoptosis-associated factors
20091

About Jinliang Wang

Jinliang Wang is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 153 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (92 papers), Evolution and Genetic Dynamics (74 papers), COVID-19 epidemiological studies (55 papers), Evolutionary Game Theory and Cooperation (15 papers), Fractional Differential Equations Solutions (12 papers), Influenza Virus Research Studies (10 papers), Animal Disease Management and Epidemiology (10 papers) and Animal Virus Infections Studies (8 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Public Health, Environmental and Occupational Health (1.4k citations) and Genetics (898 citations). Jinliang Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Toshikazu Kuniya, Ran Zhang, Xianning Liu, Dajun Zhang, Linda A. Jackson, Zong‐Jun Li, Shengqiang Liu, Feng Li, Huai‐Ning Wu and Lei Guo. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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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