Gui‐Quan Sun

7.9k total citations · 2 hit papers
214 papers, 6.3k citations indexed

About

Gui‐Quan Sun is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Gui‐Quan Sun has authored 214 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Public Health, Environmental and Occupational Health, 61 papers in Modeling and Simulation and 58 papers in Genetics. Recurrent topics in Gui‐Quan Sun's work include Mathematical and Theoretical Epidemiology and Ecology Models (103 papers), Evolution and Genetic Dynamics (57 papers) and COVID-19 epidemiological studies (53 papers). Gui‐Quan Sun is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (103 papers), Evolution and Genetic Dynamics (57 papers) and COVID-19 epidemiological studies (53 papers). Gui‐Quan Sun collaborates with scholars based in China, United States and Canada. Gui‐Quan Sun's co-authors include Zhen Jin, Li Li, Quan‐Xing Liu, Zi‐Ke Zhang, Mingtao Li, Bai-Lian Li, Joshua Kiddy K. Asamoah, Lili Chang, Lipeng Song and Yong-Ping Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Gui‐Quan Sun

204 papers receiving 6.2k citations

Hit Papers

Optimal control and comprehensive cost-effectiveness anal... 2022 2026 2023 2024 2022 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gui‐Quan Sun China 48 3.5k 2.2k 1.9k 1.2k 1.1k 214 6.3k
Zhen Jin China 54 5.2k 1.5× 3.7k 1.6× 2.7k 1.5× 1.6k 1.4× 1.2k 1.1× 474 10.8k
Odo Diekmann Netherlands 43 4.9k 1.4× 3.8k 1.7× 3.2k 1.7× 853 0.7× 516 0.5× 140 9.6k
Mercedes Pascual United States 52 3.6k 1.0× 1.8k 0.8× 2.1k 1.1× 527 0.4× 234 0.2× 160 12.9k
Mark A. Lewis Canada 62 5.5k 1.6× 2.2k 1.0× 4.7k 2.6× 383 0.3× 881 0.8× 305 16.5k
Pejman Rohani United States 50 4.7k 1.4× 4.6k 2.1× 2.8k 1.5× 891 0.7× 291 0.3× 165 12.9k
Xiao‐Qiang Zhao Canada 48 7.1k 2.1× 4.2k 1.9× 4.0k 2.2× 406 0.3× 962 0.9× 201 8.2k
Ottar N. Bjørnstad United States 67 2.6k 0.8× 3.2k 1.4× 2.4k 1.3× 403 0.3× 230 0.2× 202 14.9k
Weiming Wang China 36 3.8k 1.1× 3.4k 1.5× 2.1k 1.1× 343 0.3× 730 0.7× 200 6.8k
Lewi Stone Israel 44 1.3k 0.4× 1.2k 0.5× 1.2k 0.6× 1.4k 1.2× 1.2k 1.0× 173 7.4k
Shigui Ruan United States 65 11.4k 3.3× 6.2k 2.8× 6.3k 3.4× 1.3k 1.1× 2.8k 2.5× 271 15.1k

Countries citing papers authored by Gui‐Quan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Gui‐Quan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gui‐Quan Sun. 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 Gui‐Quan Sun. The network helps show where Gui‐Quan Sun may publish in the future.

Co-authorship network of co-authors of Gui‐Quan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Gui‐Quan Sun. A scholar is included among the top collaborators of Gui‐Quan Sun 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 Gui‐Quan Sun. Gui‐Quan Sun 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.
Cheng, Xuan, et al.. (2025). Modelling multiscale infectious disease in complex systems. Physics Reports. 1113. 1–57. 4 indexed citations
2.
Zhang, Wei, Juan Zhang, Quan-Hui Liu, et al.. (2025). Behavior changes influence mpox transmission in the United States, 2022–2023: Insights from homogeneous and heterogeneous models. PNAS Nexus. 4(2). pgaf025–pgaf025. 3 indexed citations
3.
Sun, Gui‐Quan, Xiaofeng Luo, Shupeng Gao, et al.. (2025). Optimal control of spatial diseases spreading in networked reaction–diffusion systems. Physics Reports. 1111. 1–64. 9 indexed citations
4.
Fan, Peiyi, et al.. (2024). Analysis of global vegetation resilience under different future climate scenarios. Climate Dynamics. 62(8). 7967–7980. 3 indexed citations
5.
Sun, Gui‐Quan, et al.. (2024). Global dynamics of a periodic brucellosis model with time delay and environmental factors. Applied Mathematical Modelling. 130. 288–309. 7 indexed citations
6.
Tripathi, Deepak, Jai Prakash Tripathi, Debaldev Jana, et al.. (2024). Modified Holling Tanner diffusive and non-diffusive predator–prey models: The impact of prey refuge and fear effect. Results in Physics. 65. 107995–107995. 1 indexed citations
7.
Tan, Suoyi, et al.. (2024). Influential nodes identification based on hierarchical structure. Chaos Solitons & Fractals. 186. 115227–115227. 5 indexed citations
8.
Luo, Xiaofeng, et al.. (2024). The relationship between clustering and networked Turing patterns. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(7). 7 indexed citations
9.
Li, Bai-Lian, et al.. (2023). Interplays between different secretases in the generation of Amyloid-β lead to the emergence of ‘Amyloid-β rise’. Chaos Solitons & Fractals. 174. 113875–113875. 1 indexed citations
10.
Wang, Min, et al.. (2023). Exploration of spatial heterogeneity in the effect of woodland proportion on PM2.5: An empirical study from the Yangtze River economic Belt, China. Atmospheric Pollution Research. 14(12). 101914–101914. 3 indexed citations
11.
Chang, Lili, Xinyu Wang, Gui‐Quan Sun, Zhen Wang, & Zhen Jin. (2023). A time independent least squares algorithm for parameter identification of Turing patterns in reaction–diffusion systems. Journal of Mathematical Biology. 88(1). 5–5. 9 indexed citations
12.
Li, Mingtao, et al.. (2023). Cost assessment of optimal control strategy for brucellosis dynamic model based on economic factors. Communications in Nonlinear Science and Numerical Simulation. 124. 107310–107310. 12 indexed citations
14.
Shi, Yu, Xiaofeng Luo, Yongxin Zhang, & Gui‐Quan Sun. (2023). An indicator of Crohn’s disease severity based on Turing patterns. Chaos Solitons & Fractals. 171. 113455–113455. 1 indexed citations
15.
Asamoah, Joshua Kiddy K., et al.. (2023). Optimal control dynamics of Gonorrhea in a structured population. Heliyon. 9(10). e20531–e20531. 27 indexed citations
16.
Chang, Lili, Wei Gong, Zhen Jin, & Gui‐Quan Sun. (2022). Sparse Optimal Control of Pattern Formations for an SIR Reaction-Diffusion Epidemic Model. SIAM Journal on Applied Mathematics. 82(5). 1764–1790. 53 indexed citations
17.
Sun, Gui‐Quan, Hongtao Zhang, Lili Chang, et al.. (2022). On the Dynamics of a Diffusive Foot-and-Mouth Disease Model with Nonlocal Infections. SIAM Journal on Applied Mathematics. 82(4). 1587–1610. 35 indexed citations
18.
Asamoah, Joshua Kiddy K., Zhen Jin, Gui‐Quan Sun, et al.. (2021). Sensitivity assessment and optimal economic evaluation of a new COVID-19 compartmental epidemic model with control interventions. Chaos Solitons & Fractals. 146. 110885–110885. 107 indexed citations
19.
Asamoah, Joshua Kiddy K., Ernest Yankson, Eric Okyere, et al.. (2021). Optimal control and cost-effectiveness analysis for dengue fever model with asymptomatic and partial immune individuals. Results in Physics. 31. 104919–104919. 53 indexed citations
20.
Asamoah, Joshua Kiddy K., Zhen Jin, Gui‐Quan Sun, & Michael Y. Li. (2020). A Deterministic Model for Q Fever Transmission Dynamics within Dairy Cattle Herds: Using Sensitivity Analysis and Optimal Controls. Computational and Mathematical Methods in Medicine. 2020. 1–18. 36 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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