Jian Zu
Impact in
- Modeling and Simulation top 0.2%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
Papers in
-
- Mathematical and Theoretical Epidemiology and Ecology Models 30
- Genetics 24
- Evolution and Genetic Dynamics 22
- Co-authors
- Parvaiz Ahmad Naik (16 shared papers)Kolade M. Owolabi (4 shared papers)Mehmet Yavuz (4 shared papers)Masayasu Mimura (4 shared papers)Zohreh Eskandari (4 shared papers)Stuart Townley (1 shared paper)Sania Qureshi (1 shared paper)Mehraj‐ud‐din Naik (4 shared papers)
- Journals
- Journal of Theoretical Biology (5 papers)Mathematical Methods in the Applied Sciences (3 papers)Chaos Solitons & Fractals (3 papers)JAMA Network Open (2 papers)International Journal of Biomathematics (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jian Zu
80 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 140
- Modeling and Simulation 1.1k
- Applied Microbiology and Biotechnology 77
- Public Health, Environmental and Occupational Health 1.1k
- Numerical Analysis 107
- Genetics 433
Countries citing papers authored by Jian Zu
This map shows the geographic impact of Jian Zu'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 Jian Zu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Zu more than expected).
Fields of papers citing papers by Jian Zu
This network shows the impact of papers produced by Jian Zu. 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 Jian Zu. The network helps show where Jian Zu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jian Zu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 231 | |
| 2 | 2020 | 180 | |
| 3 | 2020 | 179 | |
| 4 | 2017 | 121 | |
| 5 | 2019 | 117 | |
| 6 | 2022 | 97 | |
| 7 | 2019 | 84 | |
| 8 | 2020 | 75 | |
| 9 | 2010 | 74 | |
| 10 | 2021 | 73 | |
| 11 | 2022 | 60 | |
| 12 | 2022 | 54 | |
| 13 | 2021 | 52 | |
| 14 | 2020 | 51 | |
| 15 | 2022 | 46 | |
| 16 | 2022 | 45 | |
| 17 | 2019 | 40 | |
| 18 | 2021 | 37 | |
| 19 | 2022 | 34 | |
| 20 | 2022 | 31 |
About Jian Zu
Jian Zu is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Sociology and Political Science and Epidemiology, having authored 83 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (30 papers), Evolution and Genetic Dynamics (22 papers), Evolutionary Game Theory and Cooperation (14 papers), Fractional Differential Equations Solutions (12 papers), COVID-19 epidemiological studies (10 papers), Hepatitis B Virus Studies (7 papers), Breast Cancer Treatment Studies (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Applied Microbiology and Biotechnology (77 citations), Public Health, Environmental and Occupational Health (1.1k citations), Numerical Analysis (107 citations) and Genetics (433 citations). Jian Zu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Parvaiz Ahmad Naik, Kolade M. Owolabi, Mehmet Yavuz, Masayasu Mimura, Zohreh Eskandari, Stuart Townley, Sania Qureshi, Mehraj‐ud‐din Naik, Fanpu Ji and Xuerui Li. Their work appears in journals such as Journal of Theoretical Biology, Mathematical Methods in the Applied Sciences, Chaos Solitons & Fractals, JAMA Network Open and International Journal of Biomathematics.
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.