Wanbiao Ma

3.5k total citations
131 papers, 2.9k citations indexed

About

Wanbiao Ma is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Wanbiao Ma has authored 131 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Public Health, Environmental and Occupational Health, 65 papers in Modeling and Simulation and 40 papers in Genetics. Recurrent topics in Wanbiao Ma's work include Mathematical and Theoretical Epidemiology and Ecology Models (102 papers), Evolution and Genetic Dynamics (39 papers) and Mathematical Biology Tumor Growth (29 papers). Wanbiao Ma is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (102 papers), Evolution and Genetic Dynamics (39 papers) and Mathematical Biology Tumor Growth (29 papers). Wanbiao Ma collaborates with scholars based in China, Japan and United States. Wanbiao Ma's co-authors include Yasuhiro Takeuchi, Gang Huang, Edoardo Beretta, Tadayuki Hara, Zhixing Hu, Dan Li, Mei Song, Shigui Ruan, Tongqian Zhang and Xinzhu Meng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Journal of Mathematical Analysis and Applications.

In The Last Decade

Wanbiao Ma

124 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanbiao Ma China 26 2.4k 1.6k 1.5k 251 237 131 2.9k
Xinyu Song China 36 2.8k 1.1× 1.3k 0.8× 1.7k 1.1× 260 1.0× 304 1.3× 227 3.7k
Andrei Korobeinikov Spain 21 2.3k 1.0× 1.7k 1.1× 1.5k 1.0× 139 0.6× 101 0.4× 74 2.9k
Khalid Hattaf Morocco 30 1.9k 0.8× 1.6k 1.0× 890 0.6× 221 0.9× 85 0.4× 122 2.5k
Rui Xu China 25 1.5k 0.6× 946 0.6× 1.0k 0.7× 110 0.4× 236 1.0× 105 1.8k
Subhas Khajanchi India 32 1.7k 0.7× 2.0k 1.3× 827 0.5× 280 1.1× 145 0.6× 75 3.0k
Yuming Chen Canada 25 1.3k 0.5× 871 0.5× 659 0.4× 68 0.3× 251 1.1× 143 2.1k
Yicang Zhou China 22 1.4k 0.6× 1.1k 0.7× 823 0.5× 111 0.4× 61 0.3× 66 1.9k
Noura Yousfi Morocco 24 1.4k 0.6× 1.2k 0.7× 683 0.5× 145 0.6× 51 0.2× 94 1.7k
Michael Y. Li Canada 33 3.8k 1.5× 3.0k 1.9× 2.1k 1.4× 395 1.6× 926 3.9× 63 5.7k
Hongying Shu China 17 1.1k 0.5× 602 0.4× 766 0.5× 224 0.9× 120 0.5× 45 1.3k

Countries citing papers authored by Wanbiao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Wanbiao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanbiao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Wanbiao Ma. A scholar is included among the top collaborators of Wanbiao Ma 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 Wanbiao Ma. Wanbiao Ma 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.
Ni, Dongdong, et al.. (2024). Stability analysis of a flocculation model incorporating cell size, time delay, and control. Applied Mathematics Letters. 160. 109294–109294. 1 indexed citations
2.
Ni, Dongdong, Wanbiao Ma, & Malay Banerjee. (2023). Dynamics of a PDE model with size-structure: Characterizing the growth and flocculation effects of unicellular algae. Chaos Solitons & Fractals. 167. 113054–113054. 4 indexed citations
3.
Guo, Ke & Wanbiao Ma. (2023). Existence of positive periodic solutions for a periodic predator–prey model with fear effect and general functional responses. Advances in Continuous and Discrete Models. 2023(1). 1 indexed citations
4.
Ma, Wanbiao, et al.. (2023). Stability and persistence analysis of a microorganism flocculation model with infinite delay. Mathematical Biosciences & Engineering. 20(6). 10815–10827.
5.
Guo, Ke, et al.. (2021). Global dynamics analysis of a time-delayed dynamic model of Kawasaki disease pathogenesis. Discrete and Continuous Dynamical Systems - B. 27(4). 2367–2367. 12 indexed citations
6.
Cui, Jinǵan, et al.. (2021). An analysis approach to permanence of a delay differential equations model of microorganism flocculation. Discrete and Continuous Dynamical Systems - B. 27(7). 3831–3831. 7 indexed citations
7.
Ma, Wanbiao, et al.. (2020). Global dynamics and travelling waves for a periodic and diffusive chemostat model with two nutrients and one microorganism. Nonlinearity. 33(9). 4338–4380. 7 indexed citations
8.
Ma, Wanbiao, et al.. (2020). Sufficient conditions for global dynamics of a viral infection model with nonlinear diffusion. Discrete and Continuous Dynamical Systems - B. 26(7). 3989–4011. 1 indexed citations
9.
Kuang, Yang, Meng Fan, Shengqiang Liu, & Wanbiao Ma. (2019). Dynamical Models of Biology and Medicine. BiblioBoard Library Catalog (Open Research Library). 1 indexed citations
10.
Ma, Wanbiao, et al.. (2019). The differential equation model of pathogenesis of Kawasaki disease with theoretical analysis. Mathematical Biosciences & Engineering. 16(5). 3488–3511. 10 indexed citations
11.
Ma, Wanbiao, et al.. (2015). Global stability of a delayed mosquito-transmitted disease model with stage structure. SHILAP Revista de lepidopterología. 6 indexed citations
12.
Liu, Yajuan, Wanbiao Ma, Magdi S. Mahmoud, & Sangmoon Lee. (2014). Improved delay-dependent exponential stability criteria for neutral-delay systems with nonlinear uncertainties. Applied Mathematical Modelling. 39(10-11). 3164–3174. 18 indexed citations
13.
Hu, Zhixing, et al.. (2013). Dynamics analysis of a delayed viral infection model with logistic growth and immune impairment. Applied Mathematical Modelling. 38(2). 524–534. 35 indexed citations
14.
Huang, Gang, Wanbiao Ma, & Yasuhiro Takeuchi. (2011). Global analysis for delay virus dynamics model with Beddington–DeAngelis functional response. Applied Mathematics Letters. 24(7). 1199–1203. 111 indexed citations
15.
Huang, Gang, Yasuhiro Takeuchi, Wanbiao Ma, & Daijun Wei. (2010). Global Stability for Delay SIR and SEIR Epidemic Models with Nonlinear Incidence Rate. Bulletin of Mathematical Biology. 72(5). 1192–1207. 163 indexed citations
16.
Ma, Wanbiao. (2009). Analysis of an SIS Epidemic Model with Temporary Immunity and Nonlinear Incidence Rate. Gongcheng shuxue xuebao. 1 indexed citations
17.
Ma, Wanbiao. (2009). Stability Analysis of An HIV-1 Infection Model with Beddington-DeAngelis Functional Response. Shuxue de shijian yu renshi. 1 indexed citations
18.
Huang, Gang, Wanbiao Ma, & Yasuhiro Takeuchi. (2009). Global properties for virus dynamics model with Beddington–DeAngelis functional response. Applied Mathematics Letters. 22(11). 1690–1693. 144 indexed citations
19.
Ma, Wanbiao. (2007). A Stability Analysis of a Ratio-dependent Chemostat Model with Time Delay.
20.
Song, Mei, Wanbiao Ma, & Yasuhiro Takeuchi. (2006). Permanence of a delayed SIR epidemic model with density dependent birth rate. Journal of Computational and Applied Mathematics. 201(2). 389–394. 37 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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