Li Zu

437 total citations
31 papers, 334 citations indexed

About

Li Zu is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Li Zu has authored 31 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Public Health, Environmental and Occupational Health, 16 papers in Genetics and 15 papers in Modeling and Simulation. Recurrent topics in Li Zu's work include Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), Evolution and Genetic Dynamics (16 papers) and Mathematical Biology Tumor Growth (10 papers). Li Zu is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), Evolution and Genetic Dynamics (16 papers) and Mathematical Biology Tumor Growth (10 papers). Li Zu collaborates with scholars based in China, Ireland and Saudi Arabia. Li Zu's co-authors include Daqing Jiang, Donal O’Regan, Qun Liu, Bin Ge, Tasawar Hayat, Bashir Ahmad, Daqing Jiang, Michael J. Turner, Evan R. Jellison and Elizabeth G. Lingenheld and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Mathematical Analysis and Applications.

In The Last Decade

Li Zu

29 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Zu China 10 281 191 169 51 41 31 334
Ronghua Tan China 11 248 0.9× 131 0.7× 92 0.5× 61 1.2× 48 1.2× 41 326
Philipp Getto Germany 9 161 0.6× 89 0.5× 120 0.7× 37 0.7× 20 0.5× 13 307
Chunjin Wei China 13 305 1.1× 177 0.9× 147 0.9× 53 1.0× 39 1.0× 33 371
Zhong Zhao China 12 252 0.9× 103 0.5× 163 1.0× 24 0.5× 42 1.0× 54 393
Haokun Qi China 9 317 1.1× 229 1.2× 185 1.1× 64 1.3× 11 0.3× 25 354
Sanling Yuan China 10 332 1.2× 198 1.0× 153 0.9× 41 0.8× 38 0.9× 19 381
Adel Settati Morocco 13 510 1.8× 308 1.6× 400 2.4× 31 0.6× 58 1.4× 44 590
Àngel Calsina Spain 14 375 1.3× 223 1.2× 220 1.3× 84 1.6× 96 2.3× 38 557
Radouane Yafia Morocco 13 351 1.2× 186 1.0× 225 1.3× 31 0.6× 21 0.5× 36 450
Y. Lou United States 8 395 1.4× 279 1.5× 258 1.5× 61 1.2× 47 1.1× 12 467

Countries citing papers authored by Li Zu

Since Specialization
Citations

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

Fields of papers citing papers by Li Zu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Zu

This figure shows the co-authorship network connecting the top 25 collaborators of Li Zu. A scholar is included among the top collaborators of Li Zu 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 Li Zu. Li Zu 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.
2.
Long, Chao, et al.. (2024). Brain tumor segmentation based on the U-NET++ network with efficientnet encoder. Technology and Health Care. 32(S1). 183–195. 2 indexed citations
3.
Wang, Quan & Li Zu. (2024). Dynamical Analysis of a Delayed Stochastic Lotka–Volterra Competitive Model in Polluted Aquatic Environments. Qualitative Theory of Dynamical Systems. 23(2). 1 indexed citations
4.
Zhang, Jian, et al.. (2023). Threshold dynamics of a stochastic general SIRS epidemic model with migration. Mathematical Biosciences & Engineering. 20(6). 11212–11237. 1 indexed citations
5.
Liu, Xu, et al.. (2019). A regime-switching SIR epidemic model with a ratio-dependent incidence rate and degenerate diffusion. Scientific Reports. 9(1). 10696–10696. 4 indexed citations
6.
Zu, Li, et al.. (2019). Dynamical behavior of a stochastic SEI epidemic model with saturation incidence and logistic growth. Physica A Statistical Mechanics and its Applications. 523. 894–907. 11 indexed citations
7.
Zu, Li, et al.. (2019). Stationary distribution of a stochastic predator–prey model with distributed delay and higher order perturbations. Physica A Statistical Mechanics and its Applications. 521. 467–475. 12 indexed citations
8.
Zu, Li, et al.. (2019). Nontrivial periodic solution of a stochastic seasonal rabies epidemic model. Physica A Statistical Mechanics and its Applications. 545. 123361–123361. 4 indexed citations
9.
Zu, Li, Daqing Jiang, Donal O’Regan, Tasawar Hayat, & Bashir Ahmad. (2018). Ergodic property of a Lotka–Volterra predator–prey model with white noise higher order perturbation under regime switching. Applied Mathematics and Computation. 330. 93–102. 35 indexed citations
10.
Zu, Li, Daqing Jiang, & Donal O’Regan. (2018). Periodic Solution for a Stochastic Non-autonomous Predator-Prey Model with Holling II Functional Response. Acta Applicandae Mathematicae. 161(1). 89–105. 12 indexed citations
11.
Zu, Li, Daqing Jiang, & Donal O’Regan. (2017). Population dynamical behavior of a single-species nonlinear diffusion system with random perturbation. Czechoslovak Mathematical Journal. 67(4). 867–890. 1 indexed citations
12.
Liu, Qun, Li Zu, & Daqing Jiang. (2016). Dynamics of stochastic predator–prey models with Holling II functional response. Communications in Nonlinear Science and Numerical Simulation. 37. 62–76. 46 indexed citations
13.
Zu, Li, Daqing Jiang, Donal O’Regan, & Bin Ge. (2015). Periodic solution for a non-autonomous Lotka–Volterra predator–prey model with random perturbation. Journal of Mathematical Analysis and Applications. 430(1). 428–437. 45 indexed citations
14.
Zu, Li, Daqing Jiang, & Donal O’Regan. (2015). Conditions for persistence and ergodicity of a stochastic Lotka–Volterra predator–prey model with regime switching. Communications in Nonlinear Science and Numerical Simulation. 29(1-3). 1–11. 69 indexed citations
15.
Zu, Li, Daqing Jiang, & Donal O’Regan. (2014). Stochastic Permanence, Stationary Distribution and Extinction of a Single-Species Nonlinear Diffusion System with Random Perturbation. Abstract and Applied Analysis. 2014. 1–14. 10 indexed citations
16.
Ge, Bin, et al.. (2014). Positive solutions for nonlinear elliptic problems ofp-Laplacian type onRNwithout (AR) condition. Nonlinear Analysis Real World Applications. 21. 99–109. 4 indexed citations
17.
Jellison, Evan R., Michael J. Turner, David A. Blair, et al.. (2012). Distinct mechanisms mediate naïve and memory CD8 T-cell tolerance. Proceedings of the National Academy of Sciences. 109(52). 21438–21443. 12 indexed citations
18.
Zu, Li, et al.. (2007). Existence theory for single and multiple solutions to singular boundary value problems for second order impulsive differential equations. Topological Methods in Nonlinear Analysis. 30(1). 171–191. 1 indexed citations
19.
Zu, Li, Daqing Jiang, & Donal O’Regan. (2007). Existence theory for multiple solutions to semipositone Dirichlet boundary value problems with singular dependent nonlinearities for second-order impulsive differential equations. Applied Mathematics and Computation. 195(1). 240–255. 4 indexed citations
20.
Zu, Li. (2003). Constituents of Volatile Oil and Cytotoxicity on Cyathocline purpurea. Acta Botanica Yunnanica. 1 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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