Qun Liu
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 23
- Mathematical Biology Tumor Growth 19
- Fractional Differential Equations Solutions 12
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- Mathematical and Theoretical Epidemiology and Ecology Models 72
- Genetics top 2%
- Evolution and Genetic Dynamics 46
- Biological Psychiatry top 10%
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics 15
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- Nonlinear Differential Equations Analysis 10
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- Acupuncture Treatment Research Studies 10
- Co-authors
- Daqing JiangTasawar HayatAhmed AlsaediBashir AhmadQingmei ChenNingzhong ShiZhao YangLi Zu
- Journals
- SHILAP Revista de lepidopterología (2 papers)Scientific Reports (2 papers)Food Chemistry (1 paper)
- Partner nations
- ChinaSaudi ArabiaPakistan
In The Last Decade
Qun Liu
143 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 153
- Modeling and Simulation 921
- Public Health, Environmental and Occupational Health 1.3k
- Genetics 814
- Biological Psychiatry 49
- Mathematical Physics 132
Countries citing papers authored by Qun Liu
This map shows the geographic impact of Qun Liu'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 Qun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qun Liu more than expected).
Fields of papers citing papers by Qun Liu
This network shows the impact of papers produced by Qun Liu. 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 Qun Liu. The network helps show where Qun Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qun Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 19 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 44 | |
| 13 | 2019 | 8 | |
| 14 | Association between TM6SF2 rs58542926 polymorphism and non-alcoholic fatty liver disease in Qingdao Han Population and molecular mechanism | 2019 | 1 |
| 15 | 2018 | 9 | |
| 16 | 2017 | 44 | |
| 17 | 2017 | 78 | |
| 18 | 2017 | 14 | |
| 19 | 2015 | 19 | |
| 20 | 2003 | 40 |
About Qun Liu
Qun Liu is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Complementary and alternative medicine, having authored 149 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (72 papers), Evolution and Genetic Dynamics (46 papers), COVID-19 epidemiological studies (23 papers), Mathematical Biology Tumor Growth (19 papers), Stochastic processes and statistical mechanics (15 papers), Fractional Differential Equations Solutions (12 papers), Nonlinear Differential Equations Analysis (10 papers) and Acupuncture Treatment Research Studies (10 papers). The work is most often cited by research in Modeling and Simulation (921 citations), Public Health, Environmental and Occupational Health (1.3k citations) and Genetics (814 citations). Qun Liu has collaborated with scholars based in China, Saudi Arabia and Pakistan. Frequent co-authors include Daqing Jiang, Tasawar Hayat, Ahmed Alsaedi, Bashir Ahmad, Qingmei Chen, Daqing Jiang, Ningzhong Shi, Zhao Yang, Li Zu and Chun‐Ling Dai. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.
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.