Kaifa Wang

1.8k total citations
82 papers, 1.3k citations indexed

About

Kaifa Wang is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Kaifa Wang has authored 82 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Public Health, Environmental and Occupational Health, 31 papers in Modeling and Simulation and 27 papers in Genetics. Recurrent topics in Kaifa Wang's work include Mathematical and Theoretical Epidemiology and Ecology Models (39 papers), Evolution and Genetic Dynamics (27 papers) and COVID-19 epidemiological studies (22 papers). Kaifa Wang is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (39 papers), Evolution and Genetic Dynamics (27 papers) and COVID-19 epidemiological studies (22 papers). Kaifa Wang collaborates with scholars based in China, United States and Japan. Kaifa Wang's co-authors include Wendi Wang, Xianning Liu, Ángela Torres, Shiping Song, Weiming Wang, Yongli Cai, Yali Yang, Jianquan Li, Zhenqing Li and Mingjiang Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Kaifa Wang

77 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kaifa Wang China 16 986 617 611 203 116 82 1.3k
Cruz Vargas‐De‐León Mexico 16 862 0.9× 696 1.1× 357 0.6× 84 0.4× 73 0.6× 69 1.2k
Hisashi Inaba Japan 20 886 0.9× 752 1.2× 437 0.7× 189 0.9× 55 0.5× 67 1.5k
Xia Wang China 19 743 0.8× 407 0.7× 422 0.7× 76 0.4× 145 1.3× 70 993
Bruno Buonomo Italy 21 1.1k 1.1× 908 1.5× 577 0.9× 106 0.5× 29 0.3× 59 1.3k
Shingo Iwami Japan 28 826 0.8× 836 1.4× 424 0.7× 821 4.0× 511 4.4× 109 2.7k
H. W. Hethcote United States 11 900 0.9× 871 1.4× 701 1.1× 209 1.0× 21 0.2× 14 1.6k
Abdessamad Tridane United Arab Emirates 14 532 0.5× 476 0.8× 255 0.4× 119 0.6× 48 0.4× 70 803
Xiao-Qiang Zhao China 9 925 0.9× 593 1.0× 611 1.0× 61 0.3× 36 0.3× 17 1.2k
Naveen K. Vaidya United States 18 364 0.4× 250 0.4× 123 0.2× 202 1.0× 114 1.0× 59 1.0k
Melissa Sanchez United States 15 234 0.2× 143 0.2× 113 0.2× 379 1.9× 22 0.2× 29 1.3k

Countries citing papers authored by Kaifa Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kaifa Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaifa Wang. A scholar is included among the top collaborators of Kaifa Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaifa Wang. Kaifa Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Yuming, et al.. (2025). Dynamic predicting hepatitis B surface antigen decline rate during treatment for patients with chronic hepatitis B. Infectious Disease Modelling. 10(3). 979–988.
2.
Zhou, Dongsheng, et al.. (2023). A new method for the joint estimation of instantaneous reproductive number and serial interval during epidemics. PLoS Computational Biology. 19(3). e1011021–e1011021. 2 indexed citations
3.
Yuan, Pei, Yi Tan, Liu Yang, et al.. (2022). Assessing the mechanism of citywide test-trace-isolate Zero-COVID policy and exit strategy of COVID-19 pandemic. Infectious Diseases of Poverty. 11(1). 104–104. 11 indexed citations
4.
Feng, Yimei, Ping Wang, Wen Zhu, et al.. (2020). Sirolimus as Rescue Therapy for Refractory/Relapsed Immune Thrombocytopenia: Results of a Single-Center, Prospective, Single-Arm Study. Frontiers in Medicine. 7. 110–110. 31 indexed citations
5.
Xiao, Lily Dongxia, et al.. (2017). Evaluation of a WeChat-based dementia-specific training program for nurses in primary care settings: A randomized controlled trial. Applied Nursing Research. 38. 51–59. 33 indexed citations
6.
Wang, Lifei, Zhengzhi Feng, Yaling Yang, et al.. (2016). Depressive symptoms among children and adolescents in western china: An epidemiological survey of prevalence and correlates. Psychiatry Research. 246. 267–274. 67 indexed citations
7.
Wang, Wendi, et al.. (2016). Minimal wave speed of a bacterial colony model. Applied Mathematical Modelling. 40(23-24). 10419–10436. 2 indexed citations
8.
Wang, Kaifa, et al.. (2016). TRANSMISSION DYNAMICS AND THE CONTROL OF HEPATITIS B IN CHINA: A POPULATION DYNAMICS VIEW. Journal of Applied Analysis & Computation. 6(1). 76–93. 3 indexed citations
9.
Wang, Wendi, et al.. (2015). Minimal wave speed for a class of non-cooperative diffusion–reaction system. Journal of Differential Equations. 260(3). 2763–2791. 70 indexed citations
10.
Ma, Cui, et al.. (2014). Dynamics of a Viral Infection Model with General Contact Rate between Susceptible Cells and Virus Particles. Abstract and Applied Analysis. 2014. 1–5. 2 indexed citations
11.
12.
Li, Jianquan, Kaifa Wang, & Yali Yang. (2011). Dynamical behaviors of an HBV infection model with logistic hepatocyte growth. Mathematical and Computer Modelling. 54(1-2). 704–711. 46 indexed citations
13.
Wang, Kaifa. (2009). Study on a Viral Infection Model with Nonlinear Infection Rate. Journal of Sichuan Normal University.
14.
Wang, Kaifa, Wendi Wang, & Shiping Song. (2007). Dynamics of an HBV model with diffusion and delay. Journal of Theoretical Biology. 253(1). 36–44. 115 indexed citations
15.
Li, Guihua, Wendi Wang, Kaifa Wang, & Zhen Jin. (2006). Dynamic behavior of a parasite–host model with general incidence. Journal of Mathematical Analysis and Applications. 331(1). 631–643. 12 indexed citations
16.
Wang, Kaifa. (2005). Global Properties of Virus Dynamics with CTL Immune Response. Journal of Southwest China Normal University. 8 indexed citations
17.
Mao, Limi, et al.. (2003). A Palynological Study for Coastal Mangrove Swamps in Northern Hainan Island, China: Relationship between Surface Pollen and Mangrove Vegetation. The Quaternary Research (Daiyonki-Kenkyu). 42(4). 247–264. 1 indexed citations
18.
Jin, Liqin, et al.. (2000). The activation effect of maize pollen polysaccharides on human thoracic cavity macrophages. Zhongguo bingli shengli zazhi. 16(8). 726–729. 1 indexed citations
19.
Wang, Kaifa, Yulan Zhang, & Hui Jiang. (1989). ALGAL, SPORES AND POLLEN ASSEMBLAGES FROM LATE PLEISTOCENE IN THE EAST PART OF THE CHINA SEA AND THEIR PALEOENVIRONMENTS. Science China Chemistry. 32(7). 850–858. 1 indexed citations
20.
Wang, Kaifa, et al.. (1980). The Spore-Pollen and Algal. Assemblages from the Surface Sediments of Yellow Sea. Journal of Integrative Plant Biology. 22(2). 2 indexed citations

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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