Jia‐Fang Zhang

1.0k total citations
40 papers, 799 citations indexed

About

Jia‐Fang Zhang is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Computer Networks and Communications. According to data from OpenAlex, Jia‐Fang Zhang has authored 40 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Public Health, Environmental and Occupational Health, 14 papers in Genetics and 13 papers in Computer Networks and Communications. Recurrent topics in Jia‐Fang Zhang's work include Mathematical and Theoretical Epidemiology and Ecology Models (28 papers), Evolution and Genetic Dynamics (14 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). Jia‐Fang Zhang is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (28 papers), Evolution and Genetic Dynamics (14 papers) and Nonlinear Dynamics and Pattern Formation (12 papers). Jia‐Fang Zhang collaborates with scholars based in China, New Zealand and Canada. Jia‐Fang Zhang's co-authors include Sally Casswell, Wan‐Tong Li, Xiang‐Ping Yan, Phil A. Silva, Huijuan Liu, Allan Wyllie, Yuxia Wang, Hongmei Cai, Miaomiao Chen and Yasuhiro Takeuchi and has published in prestigious journals such as Addiction, Physica A Statistical Mechanics and its Applications and Addictive Behaviors.

In The Last Decade

Jia‐Fang Zhang

37 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia‐Fang Zhang China 15 372 258 216 131 122 40 799
Ruoyan Sun United States 14 205 0.6× 53 0.2× 79 0.4× 78 0.6× 51 0.4× 40 846
Phillip Cooley United States 9 86 0.2× 216 0.8× 20 0.1× 7 0.1× 243 2.0× 17 744
Ruth Thomas United States 14 92 0.2× 131 0.5× 120 0.6× 4 0.0× 109 0.9× 31 629
Michael Collins United States 16 145 0.4× 39 0.2× 23 0.1× 19 0.1× 137 1.1× 53 753
Christopher Steven Marcum United States 14 41 0.1× 55 0.2× 28 0.1× 9 0.1× 155 1.3× 44 718
Kirk Dombrowski United States 17 143 0.4× 413 1.6× 6 0.0× 21 0.2× 258 2.1× 92 915
Shashank Khandelwal United States 4 83 0.2× 336 1.3× 16 0.1× 13 0.1× 68 0.6× 5 799
Michael McCarthy United States 15 99 0.3× 100 0.4× 53 0.2× 11 0.1× 91 0.7× 70 853
Daniel Fernández Spain 14 35 0.1× 49 0.2× 8 0.0× 8 0.1× 54 0.4× 55 871
Eugenia Tognotti Italy 9 85 0.2× 44 0.2× 43 0.2× 1 0.0× 40 0.3× 22 416

Countries citing papers authored by Jia‐Fang Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jia‐Fang Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia‐Fang Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jia‐Fang Zhang. A scholar is included among the top collaborators of Jia‐Fang 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 Jia‐Fang Zhang. Jia‐Fang 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.
Zhang, Jia‐Fang, et al.. (2025). Communication attributes modify the anxiety risk associated with problematic social media use: Evidence from a prospective diary method study. Addictive Behaviors. 166. 108324–108324. 1 indexed citations
2.
Yu, Pei, et al.. (2024). Local and Global Dynamics of a Ratio-Dependent Holling–Tanner Predator–Prey Model with Strong Allee Effect. International Journal of Bifurcation and Chaos. 34(7). 1 indexed citations
3.
Yang, Shu‐Qing, Chunping Jia, & Jia‐Fang Zhang. (2024). Complex dynamics of an SIRS epidemic model with non-monotone incidence and saturated cure rate. Nonlinear Dynamics. 112(10). 8695–8719.
4.
Chen, Miaomiao, Yasuhiro Takeuchi, & Jia‐Fang Zhang. (2023). Dynamic complexity of a modified Leslie–Gower predator–prey system with fear effect. Communications in Nonlinear Science and Numerical Simulation. 119. 107109–107109. 27 indexed citations
5.
Zhang, Jia‐Fang, et al.. (2022). The role of strong Allee effect and protection zone on a diffusive prey–predator model. Zeitschrift für angewandte Mathematik und Physik. 73(1). 4 indexed citations
6.
Sun, Yujuan, Jia‐Fang Zhang, & Sugata Gangopadhyay. (2019). Construction of resilient Boolean functions in odd variables with strictly almost optimal nonlinearity. Designs Codes and Cryptography. 87(12). 3045–3062. 1 indexed citations
7.
Zhang, Jia‐Fang. (2018). Spatial patterns of a fractional type cross-diffusion Holling–Tanner model. Computers & Mathematics with Applications. 76(4). 957–965. 3 indexed citations
8.
Wang, Shaoli, Jia‐Fang Zhang, Fei Xu, & Xinyu Song. (2017). Dynamics of virus infection models with density-dependent diffusion. Computers & Mathematics with Applications. 74(10). 2403–2422. 8 indexed citations
9.
Zhang, Jia‐Fang. (2012). Stability and bifurcation periodic solutions in a Lotka–Volterra competition system with multiple delays. Nonlinear Dynamics. 70(1). 849–860. 6 indexed citations
10.
Zhang, Jia‐Fang. (2012). Bifurcated periodic solutions in an amensalism system with strong generic delay kernel. Mathematical Methods in the Applied Sciences. 36(1). 113–124. 12 indexed citations
11.
Zhang, Jia‐Fang. (2011). Bifurcation analysis of a modified Holling–Tanner predator–prey model with time delay. Applied Mathematical Modelling. 36(3). 1219–1231. 57 indexed citations
12.
Zhang, Jia‐Fang, Sally Casswell, & Hongmei Cai. (2008). Increased drinking in a metropolitan city in China: a study of alcohol consumption patterns and changes. Addiction. 103(3). 416–423. 31 indexed citations
13.
Zhang, Jia‐Fang, Wan‐Tong Li, & Xiang‐Ping Yan. (2007). Hopf bifurcation and stability of periodic solutions in a delayed eco-epidemiological system. Applied Mathematics and Computation. 198(2). 865–876. 38 indexed citations
14.
Zhang, Jia‐Fang, Yunxia Lu, Xiaoxia Qiu, & Ya Fang. (2004). Relationship between alcohol drinking and alcohol-related health problems.. PubMed. 17(2). 196–202. 4 indexed citations
15.
Zhang, Jia‐Fang, et al.. (2004). Alcohol abuse in a metropolitan city in China: a study of the prevalence and risk factors. Addiction. 99(9). 1103–1110. 37 indexed citations
16.
Casswell, Sally, et al.. (2003). The economic costs of alcohol-related absenteeism and reduced productivity among the working population of New Zealand. Addiction. 90(11). 1455–1461. 53 indexed citations
17.
Wyllie, Allan, Jia‐Fang Zhang, & Sally Casswell. (2000). Risk functions for frequency of alcohol‐related negative consequences: New Zealand survey data. Addiction. 95(12). 1821–1832. 10 indexed citations
18.
Casswell, Sally & Jia‐Fang Zhang. (1998). Impact of liking for advertising and brand allegiance on drinking and alcohol‐related aggression: a longitudinal study. Addiction. 93(8). 1209–1217. 110 indexed citations
19.
Wyllie, Allan, Jia‐Fang Zhang, & Sally Casswell. (1994). Comparison of six alcohol consumption measures from survey data. Addiction. 89(4). 425–430. 40 indexed citations
20.
Zhang, Jia‐Fang, et al.. (1993). The effect of prices on alcohol consumption in New Zealand 1983–1991. Drug and Alcohol Review. 12(2). 151–158. 15 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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