Jinliang Wang

3.7k total citations
153 papers, 2.9k citations indexed

About

Jinliang Wang is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Jinliang Wang has authored 153 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Public Health, Environmental and Occupational Health, 77 papers in Genetics and 69 papers in Modeling and Simulation. Recurrent topics in Jinliang Wang's work include Mathematical and Theoretical Epidemiology and Ecology Models (92 papers), Evolution and Genetic Dynamics (74 papers) and COVID-19 epidemiological studies (55 papers). Jinliang Wang is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (92 papers), Evolution and Genetic Dynamics (74 papers) and COVID-19 epidemiological studies (55 papers). Jinliang Wang collaborates with scholars based in China, Japan and United States. Jinliang Wang's co-authors include Toshikazu Kuniya, Ran Zhang, Xianning Liu, Linda A. Jackson, Dajun Zhang, Zong‐Jun Li, Shengqiang Liu, Feng Li, Huai‐Ning Wu and Lei Guo and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jinliang Wang

142 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinliang Wang China 31 1.4k 1.1k 898 400 317 153 2.9k
Robert J. Smith Canada 30 1.4k 1.0× 1.2k 1.1× 616 0.7× 565 1.4× 240 0.8× 149 4.4k
Andrea Pugliese Italy 31 1.0k 0.7× 770 0.7× 535 0.6× 491 1.2× 226 0.7× 154 2.7k
Lin Wang China 40 1.5k 1.0× 865 0.8× 995 1.1× 298 0.7× 255 0.8× 278 5.6k
Shweta Bansal United States 30 942 0.7× 1.5k 1.3× 453 0.5× 763 1.9× 383 1.2× 118 3.9k
Lindi M. Wahl Canada 31 1.1k 0.8× 654 0.6× 1.5k 1.7× 433 1.1× 622 2.0× 111 4.8k
Frank Ball United Kingdom 33 1.3k 0.9× 2.0k 1.8× 512 0.6× 444 1.1× 153 0.5× 170 4.1k
Libin Rong United States 34 1.7k 1.2× 1.1k 1.0× 731 0.8× 961 2.4× 186 0.6× 117 4.1k
J. Christian J. Ray United States 12 637 0.4× 597 0.5× 515 0.6× 345 0.9× 79 0.2× 20 2.6k
Darren M. Green United Kingdom 30 510 0.4× 329 0.3× 323 0.4× 250 0.6× 92 0.3× 76 3.1k
Maia Martcheva United States 31 2.7k 1.9× 2.2k 2.0× 1.4k 1.6× 508 1.3× 321 1.0× 139 3.7k

Countries citing papers authored by Jinliang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jinliang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinliang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinliang Wang. A scholar is included among the top collaborators of Jinliang Wang 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 Jinliang Wang. Jinliang Wang 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
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Wang, Jinliang, et al.. (2024). Analysis of a diffusive two-strain malaria model with the carrying capacity of the environment for mosquitoes. Infectious Disease Modelling. 9(3). 931–962. 1 indexed citations
4.
Wang, Jinliang, et al.. (2024). Analysis of an age‐space structured tuberculosis model with treatment and relapse. Studies in Applied Mathematics. 153(1).
5.
Wang, Jinliang, et al.. (2023). Modeling and analysis of a diffusive cholera model with seasonally forced intrinsic incubation period and bacterial hyperinfectivity. Journal of Mathematical Analysis and Applications. 527(1). 127414–127414. 1 indexed citations
6.
Wang, Jinliang, et al.. (2023). Dynamical analysis of a reaction–diffusion mosquito-borne model in a spatially heterogeneous environment. Advances in Nonlinear Analysis. 12(1). 4 indexed citations
7.
Zhang, Ran, et al.. (2023). Qualitative Analysis for an HIV Infection Model with Caspase-1-Mediated Pyroptosis of the Predominance: Threshold Dynamics and Traveling Waves. Qualitative Theory of Dynamical Systems. 22(4). 1 indexed citations
8.
Wang, Jinliang & Ran Zhang. (2023). A note on the global dynamics for a diffusive foot-and-mouth disease model. Applied Mathematics Letters. 145. 108737–108737. 3 indexed citations
9.
Zhao, Jiantao, et al.. (2023). Dynamical analysis of a reaction–diffusion vector-borne disease model incorporating age-space structure and multiple transmission routes. Communications in Nonlinear Science and Numerical Simulation. 127. 107550–107550. 6 indexed citations
10.
Zhang, Liming, Deng Zhang, Jinliang Wang, et al.. (2023). A nonlinear creep model of rocks based on memory-dependent derivative. Construction and Building Materials. 391. 131618–131618. 20 indexed citations
11.
Li, Chunyang, et al.. (2022). Stability analysis of an age-structured viral infection model with latency. Electronic Journal of Differential Equations. 2022(01-87). 16–16. 5 indexed citations
12.
Wang, Jinliang & Renhao Cui. (2020). Analysis of a diffusive host-pathogen model with standard incidence and distinct dispersal rates. Advances in Nonlinear Analysis. 10(1). 922–951. 12 indexed citations
13.
Wang, Jinliang & Hongquan Sun. (2020). Analysis of a Diffusive Heroin Epidemic Model in a Heterogeneous Environment. Complexity. 2020. 1–12. 6 indexed citations
14.
Wang, Jinliang, et al.. (2020). Extraction of power lines from laser point cloud based on residual clustering method. SHILAP Revista de lepidopterología. 49(7). 883. 4 indexed citations
15.
Liu, Weiwei, et al.. (2020). Threshold dynamics of a delayed nonlocal reaction-diffusion cholera model. Discrete and Continuous Dynamical Systems - B. 26(9). 4867–4885. 1 indexed citations
16.
Wang, Jinliang, Jinlong Chen, Feng Wei, et al.. (2015). Prokaryotic Expression of Truncated S1 Protein of Porcine Epidemic Diarrhea Virus and Production of Monoclonal Antibodies to Recombinant Protein. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 34(5). 327–333. 4 indexed citations
17.
Wang, Jinliang & Xinxin Tian. (2013). Global stability of a delay differential equation of hepatitis B virus infection with immune response. SHILAP Revista de lepidopterología. 11 indexed citations
18.
Wang, Jinliang. (2011). The Application of Geo-information Techniques for Construction of IOT. Geomatics & Spatial Information Technology.
19.
Diao, Huajia, Jinliang Wang, Chao Shen, et al.. (2009). Improved Cartilage Regeneration Utilizing Mesenchymal Stem Cells in TGF-β1 Gene–Activated Scaffolds. Tissue Engineering Part A. 15(9). 2687–2698. 58 indexed citations
20.
Wang, Jinliang. (2009). Effects of the serum containing anti-cancer prescrirtion on expression of HepG2 apoptosis-associated factors. Chinese journal of integrated traditional and Western medicine. 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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