Liuyong Pang

514 total citations
28 papers, 385 citations indexed

About

Liuyong Pang is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Computer Networks and Communications. According to data from OpenAlex, Liuyong Pang has authored 28 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Public Health, Environmental and Occupational Health, 15 papers in Modeling and Simulation and 4 papers in Computer Networks and Communications. Recurrent topics in Liuyong Pang's work include Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Mathematical Biology Tumor Growth (8 papers) and COVID-19 epidemiological studies (6 papers). Liuyong Pang is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Mathematical Biology Tumor Growth (8 papers) and COVID-19 epidemiological studies (6 papers). Liuyong Pang collaborates with scholars based in China, Australia and United States. Liuyong Pang's co-authors include Sanhong Liu, Xinan Zhang, Zhong Zhao, Shigui Ruan, Tianhai Tian, Xinyu Song, Yong Li, Lin Shen, Lianwen Wang and Ying Chen and has published in prestigious journals such as Scientific Reports, Chaos Solitons & Fractals and Applied Mathematics and Computation.

In The Last Decade

Liuyong Pang

27 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liuyong Pang China 11 262 217 67 64 41 28 385
Sanhong Liu China 13 283 1.1× 316 1.5× 79 1.2× 142 2.2× 65 1.6× 19 462
Aili Wang China 10 234 0.9× 260 1.2× 70 1.0× 122 1.9× 52 1.3× 34 530
Swarnali Sharma India 16 284 1.1× 432 2.0× 111 1.7× 232 3.6× 35 0.9× 35 622
Ruijun Zhao United States 10 140 0.5× 256 1.2× 35 0.5× 105 1.6× 23 0.6× 22 380
Omar Balatif Morocco 13 247 0.9× 196 0.9× 113 1.7× 45 0.7× 38 0.9× 37 414
Amar Nath Chatterjee India 12 265 1.0× 259 1.2× 130 1.9× 67 1.0× 37 0.9× 40 426
A. A. Romanyukha Russia 11 150 0.6× 142 0.7× 81 1.2× 52 0.8× 149 3.6× 41 497
Jessica M. Conway United States 13 93 0.4× 154 0.7× 292 4.4× 70 1.1× 125 3.0× 33 585
Sebastian C. Binder Germany 11 132 0.5× 59 0.3× 123 1.8× 26 0.4× 106 2.6× 14 358
Parthasakha Das India 13 310 1.2× 217 1.0× 59 0.9× 91 1.4× 18 0.4× 28 477

Countries citing papers authored by Liuyong Pang

Since Specialization
Citations

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

Fields of papers citing papers by Liuyong Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liuyong Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Liuyong Pang. A scholar is included among the top collaborators of Liuyong Pang 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 Liuyong Pang. Liuyong Pang 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.
Zhao, Zhong, et al.. (2022). Asymptotic stability in a mosquito population suppression model with time delay. International Journal of Biomathematics. 16(4). 3 indexed citations
2.
Pang, Liuyong, et al.. (2022). Growth dynamics of breast cancer stem cells: effects of self-feedback and EMT mechanisms. Theory in Biosciences. 141(3). 297–311. 1 indexed citations
3.
Zhao, Zhong, et al.. (2021). Impact of the impulsive releases and Allee effect on the dispersal behavior of the wild mosquitoes. Journal of Applied Mathematics and Computing. 68(3). 1527–1544. 7 indexed citations
4.
Pang, Liuyong, et al.. (2020). TRANSMISSION DYNAMICS AND CONTROL STRATEGIES OF COVID-19 IN WUHAN, CHINA. Journal of Biological Systems. 28(3). 543–560. 52 indexed citations
5.
Pang, Liuyong, Sanhong Liu, Fang Liu, Xinan Zhang, & Tianhai Tian. (2020). Mathematical modeling and analysis of tumor-volume variation during radiotherapy. Applied Mathematical Modelling. 89. 1074–1089. 12 indexed citations
6.
Li, Lingling, et al.. (2019). Mathematical modelling the pathway of genomic instability in lung cancer. Scientific Reports. 9(1). 14136–14136. 6 indexed citations
7.
Pang, Liuyong, et al.. (2019). The Cost-Effectiveness Analysis and Optimal Strategy of the Tobacco Control. Computational and Mathematical Methods in Medicine. 2019. 1–15. 6 indexed citations
8.
Pang, Liuyong, Sanhong Liu, Xinan Zhang, & Tianhai Tian. (2019). Mathematical modeling and dynamic analysis of anti-tumor immune response. Journal of Applied Mathematics and Computing. 62(1-2). 473–488. 18 indexed citations
9.
Wang, Lianwen, Yong Li, & Liuyong Pang. (2016). Dynamics Analysis of an Epidemiological Model with Media Impact and Two Delays. Mathematical Problems in Engineering. 2016. 1–9. 14 indexed citations
10.
Zhao, Zhong, et al.. (2016). Mathematical modeling of rhizosphere microbial degradation with impulsive diffusion on nutrient. Advances in Difference Equations. 2016(1). 5 indexed citations
11.
Pang, Liuyong, Lin Shen, & Zhong Zhao. (2016). Mathematical Modelling and Analysis of the Tumor Treatment Regimens with Pulsed Immunotherapy and Chemotherapy. Computational and Mathematical Methods in Medicine. 2016. 1–12. 29 indexed citations
12.
Pang, Liuyong, Zhong Zhao, & Xinyu Song. (2016). Cost-effectiveness analysis of optimal strategy for tumor treatment. Chaos Solitons & Fractals. 87. 293–301. 24 indexed citations
13.
Zhao, Zhong, et al.. (2016). Nonlinear modelling of the interaction between phytoplankton and zooplankton with the impulsive feedback control. Chaos Solitons & Fractals. 87. 255–261. 9 indexed citations
14.
Zhao, Zhong, et al.. (2015). Impulsive State Feedback Control of the Rhizosphere Microbial Degradation in the Wetland Plant. Discrete Dynamics in Nature and Society. 2015. 1–7. 4 indexed citations
15.
Li, Yong, Lianwen Wang, Liuyong Pang, & Sanhong Liu. (2015). The data fitting and optimal control of a hand, foot and mouth disease (HFMD) model with stage structure. Applied Mathematics and Computation. 276. 61–74. 28 indexed citations
16.
Pang, Liuyong, et al.. (2015). Dynamic analysis of an antitumor model and investigation of the therapeutic effects for different treatment regimens. Computational and Applied Mathematics. 36(1). 537–560. 5 indexed citations
17.
Pang, Liuyong, et al.. (2015). Transmission dynamics and optimal control of measles epidemics. Applied Mathematics and Computation. 256. 131–147. 66 indexed citations
18.
Zhao, Zhong, et al.. (2014). Bifurcation Analysis of a Chemostat Model of Plasmid-Bearing and Plasmid-Free Competition with Pulsed Input. Journal of Applied Mathematics. 2014. 1–9. 2 indexed citations
19.
Pang, Liuyong, et al.. (2014). Nonsynchronous bifurcation of SIRS epidemic model with birth pulse and pulse vaccination. Nonlinear Dynamics. 79(4). 2371–2383. 9 indexed citations
20.
Zhao, Zhong, Junyi Zhang, Liuyong Pang, & Ying Chen. (2014). Nonlinear modelling of ethanol inhibition with the state feedback control. Journal of Applied Mathematics and Computing. 48(1-2). 205–219. 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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