Kaifa Wang
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
- Mathematical Biology Tumor Growth
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- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- Mathematical and Theoretical Epidemiology and Ecology Models 39
-
- COVID-19 epidemiological studies 21
- Mathematical Biology Tumor Growth 6
- Co-authors
- Wendi Wang (11 shared papers)Xianning Liu (4 shared papers)Shiping Song (1 shared paper)Ángela Torres (2 shared papers)Tianran Zhang (2 shared papers)Weiming Wang (5 shared papers)Yongli Cai (3 shared papers)Jianquan Li (1 shared paper)
- Journals
- Mathematical Biosciences & Engineering (6 papers)Journal of Theoretical Biology (5 papers)Nonlinear Analysis Real World Applications (3 papers)BioMed Research International (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Kaifa Wang
75 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Modeling and Simulation 624
- Public Health, Environmental and Occupational Health 982
- Genetics 618
- Virology 72
- Hepatology 111
Countries citing papers authored by Kaifa Wang
This map shows the geographic impact of Kaifa 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 Kaifa Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaifa Wang more than expected).
Fields of papers citing papers by Kaifa Wang
This network shows the impact of papers produced by Kaifa 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 Kaifa Wang. The network helps show where Kaifa Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaifa Wang, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 172 | |
| 2 | 2007 | 140 | |
| 3 | 2007 | 119 | |
| 4 | 2009 | 107 | |
| 5 | 2006 | 77 | |
| 6 | 2015 | 76 | |
| 7 | 2012 | 69 | |
| 8 | 2016 | 67 | |
| 9 | 2005 | 62 | |
| 10 | 2011 | 46 | |
| 11 | 2020 | 33 | |
| 12 | 2017 | 33 | |
| 13 | 2013 | 23 | |
| 14 | 2008 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2014 | 16 | |
| 17 | 2009 | 15 | |
| 18 | 2014 | 14 | |
| 19 | 2003 | 14 | |
| 20 | 2022 | 13 |
About Kaifa Wang
Kaifa Wang is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Genetics, Epidemiology and Hepatology, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (39 papers), Evolution and Genetic Dynamics (27 papers), COVID-19 epidemiological studies (21 papers), Hepatitis B Virus Studies (13 papers), Hepatitis C virus research (7 papers), Mathematical Biology Tumor Growth (6 papers), Evolutionary Game Theory and Cooperation (5 papers) and Geology and Paleoclimatology Research (4 papers). The work is most often cited by research in Modeling and Simulation (624 citations), Public Health, Environmental and Occupational Health (982 citations), Genetics (618 citations), Virology (72 citations) and Hepatology (111 citations). Kaifa Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wendi Wang, Xianning Liu, Shiping Song, Ángela Torres, Tianran Zhang, Weiming Wang, Yongli Cai, Jianquan Li, Yali Yang and Zhenqing Li. Their work appears in journals such as Mathematical Biosciences & Engineering, Journal of Theoretical Biology, Nonlinear Analysis Real World Applications, BioMed Research International 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.