Tonghua Zhang

5.4k total citations
207 papers, 4.4k citations indexed

About

Tonghua Zhang is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Tonghua Zhang has authored 207 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Public Health, Environmental and Occupational Health, 64 papers in Genetics and 56 papers in Modeling and Simulation. Recurrent topics in Tonghua Zhang's work include Mathematical and Theoretical Epidemiology and Ecology Models (114 papers), Evolution and Genetic Dynamics (64 papers) and Mathematical Biology Tumor Growth (32 papers). Tonghua Zhang is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (114 papers), Evolution and Genetic Dynamics (64 papers) and Mathematical Biology Tumor Growth (32 papers). Tonghua Zhang collaborates with scholars based in China, Australia and United States. Tonghua Zhang's co-authors include Xinzhu Meng, Sanling Yuan, Yongli Song, Tongqian Zhang, Hong Zang, Chaoqun Xu, Xingwang Yu, Yahong Peng, Tao Feng and Maoan Han and has published in prestigious journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces and Polymer.

In The Last Decade

Tonghua Zhang

190 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tonghua Zhang China 38 3.1k 1.9k 1.5k 889 629 207 4.4k
Dongmei Xiao China 38 3.7k 1.2× 2.5k 1.3× 1.4k 0.9× 1.1k 1.2× 739 1.2× 154 5.2k
Junjie Wei China 41 4.5k 1.5× 2.4k 1.3× 1.7k 1.1× 3.3k 3.7× 1.5k 2.3× 239 6.8k
Meng Liu China 40 3.7k 1.2× 2.0k 1.0× 1.8k 1.2× 319 0.4× 223 0.4× 137 4.2k
Sze‐Bi Hsu Taiwan 30 1.9k 0.6× 1.1k 0.6× 947 0.6× 636 0.7× 487 0.8× 93 2.9k
Mingxin Wang China 40 3.8k 1.2× 2.2k 1.1× 2.2k 1.4× 834 0.9× 192 0.3× 256 5.1k
Ke Wang China 34 2.0k 0.6× 1.1k 0.5× 1.2k 0.8× 251 0.3× 184 0.3× 231 3.9k
Mats Gyllenberg Finland 38 2.0k 0.6× 2.1k 1.1× 591 0.4× 259 0.3× 250 0.4× 173 5.7k
Zhidong Teng China 31 1.4k 0.5× 789 0.4× 984 0.7× 980 1.1× 643 1.0× 186 3.2k
K. Gopalsamy Australia 36 3.0k 1.0× 1.1k 0.6× 1.2k 0.8× 3.2k 3.6× 1.6k 2.6× 145 6.7k
Sergio Rinaldi Italy 32 1.2k 0.4× 1.0k 0.5× 241 0.2× 1.1k 1.2× 538 0.9× 109 5.9k

Countries citing papers authored by Tonghua Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Tonghua Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tonghua Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Tonghua Zhang. A scholar is included among the top collaborators of Tonghua Zhang 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 Tonghua Zhang. Tonghua Zhang 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.
Luan, Kun, et al.. (2025). Long-lasting antibacterial cotton fabric treated with “one-bath” impregnation of N-halamine precursor. Chemical Engineering Journal. 512. 162290–162290. 5 indexed citations
2.
Wang, Yanchun, Shiyun Zhang, Yang Bai, et al.. (2025). Exploring the mechanism of action of Bailemian capsule in the treatment of insomnia based on metabolomics, 16S rRNA with UPLC-QE-Orbitrap-MS/MS. Journal of Pharmaceutical and Biomedical Analysis. 258. 116733–116733. 1 indexed citations
3.
Zhang, Tonghua, et al.. (2025). Quantifying the global stability and transition dynamics of a coupled human–environment system via a landscape-flux approach. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(3).
4.
Hou, Rui, et al.. (2024). Newsvendor model for a dyadic supply chain with push-pull strategy under shareholding and risk aversion. Mathematics and Computers in Simulation. 221. 645–662. 2 indexed citations
5.
Hou, Min, Tonghua Zhang, & Sanling Yuan. (2024). Stability and Hopf bifurcation of an intraguild prey-predator fishery model with two delays and Michaelis-Menten type predator harvest. Mathematical Biosciences & Engineering. 21(4). 5687–5711.
9.
Zhang, Tonghua, et al.. (2021). Complex dynamic analysis of risk-averse newsvendor models with buyback guarantee financing. International Journal of Production Research. 60(9). 2865–2883. 14 indexed citations
10.
Yang, Yu, et al.. (2021). A Diffusive Sveir Epidemic Model with Time Delay and General Incidence. Acta Mathematica Scientia. 41(4). 1385–1404. 2 indexed citations
11.
Zhang, Weiwei, Shengnan Zhao, Xinzhu Meng, & Tonghua Zhang. (2020). Evolutionary analysis of adaptive dynamics model under variation of noise environment. Applied Mathematical Modelling. 84. 222–239. 10 indexed citations
12.
Liu, Xia, Tonghua Zhang, Xinzhu Meng, & Tongqian Zhang. (2018). Turing–Hopf bifurcations in a predator–prey model with herd behavior, quadratic mortality and prey-taxis. Physica A Statistical Mechanics and its Applications. 496. 446–460. 50 indexed citations
13.
Yang, Yu, et al.. (2017). Global stability of a discrete multigroup SIR model with nonlinear incidence rate. Mathematical Methods in the Applied Sciences. 40(14). 5370–5379. 15 indexed citations
14.
Zhao, Wencai, Juan Li, Tongqian Zhang, Xinzhu Meng, & Tonghua Zhang. (2016). Persistence and ergodicity of plant disease model with markov conversion and impulsive toxicant input. Communications in Nonlinear Science and Numerical Simulation. 48. 70–84. 42 indexed citations
15.
Zhang, Tongqian, Xinzhu Meng, & Tonghua Zhang. (2016). GLOBAL ANALYSIS FOR A DELAYED SIV MODEL WITH DIRECT AND ENVIRONMENTAL TRANSMISSIONS. Journal of Applied Analysis & Computation. 6(2). 479–491. 50 indexed citations
16.
Zhang, Tongqian, Xinzhu Meng, & Tonghua Zhang. (2015). Global Dynamics of a Virus Dynamical Model with Cell-to-Cell Transmission and Cure Rate. Computational and Mathematical Methods in Medicine. 2015. 1–8. 39 indexed citations
17.
Meng, Xinzhu, Shengnan Zhao, Tao Feng, & Tonghua Zhang. (2015). Dynamics of a novel nonlinear stochastic SIS epidemic model with double epidemic hypothesis. Journal of Mathematical Analysis and Applications. 433(1). 227–242. 226 indexed citations
18.
Xu, Chaoqun, Sanling Yuan, & Tonghua Zhang. (2013). Asymptotic Behavior of a Chemostat Model with Stochastic Perturbation on the Dilution Rate. Abstract and Applied Analysis. 2013. 1–11. 16 indexed citations
19.
Zhang, Tonghua, Maoan Han, & Hong Zang. (2005). Perturbation from an asymmetric cubic Hamiltonian. Journal of Mathematical Analysis and Applications. 305(2). 617–630. 10 indexed citations
20.
Zhang, Tonghua. (2004). The Upper Bound of the Number of Limit Cycles of a Class of Non-Hamiltonian Integrable Systems. Mathematica Applicata. 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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