Dianli Zhao

36 total papers · 473 total citations
32 papers, 388 citations indexed

About

Dianli Zhao is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Control and Systems Engineering. According to data from OpenAlex, Dianli Zhao has authored 32 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Public Health, Environmental and Occupational Health, 14 papers in Modeling and Simulation and 13 papers in Control and Systems Engineering. Recurrent topics in Dianli Zhao's work include Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), Nonlinear Differential Equations Analysis (9 papers) and Evolution and Genetic Dynamics (9 papers). Dianli Zhao is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), Nonlinear Differential Equations Analysis (9 papers) and Evolution and Genetic Dynamics (9 papers). Dianli Zhao collaborates with scholars based in China. Dianli Zhao's co-authors include Sanling Yuan, Haidong Liu, Yanli Zhou, Xiang Liu, Sanling Yuan, Yue Qian and Lei Zhang and has published in prestigious journals such as IEEE Access, Journal of the Franklin Institute and Journal of Mathematical Analysis and Applications.

In The Last Decade

Dianli Zhao

30 papers receiving 363 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dianli Zhao 270 215 155 74 60 32 388
Shulin Sun 244 0.9× 122 0.6× 116 0.7× 41 0.6× 28 0.5× 27 342
Matthieu Alfaro 238 0.9× 157 0.7× 119 0.8× 130 1.8× 50 0.8× 43 416
G. S. Jordan 192 0.7× 138 0.6× 75 0.5× 106 1.4× 60 1.0× 15 373
Huaxing Xia 262 1.0× 112 0.5× 141 0.9× 130 1.8× 109 1.8× 12 445
Narcisa Apreutesei 203 0.8× 136 0.6× 107 0.7× 130 1.8× 51 0.8× 33 375
Salomé Martínez 220 0.8× 145 0.7× 86 0.6× 157 2.1× 27 0.5× 19 371
József Z. Farkas 263 1.0× 104 0.5× 85 0.5× 37 0.5× 22 0.4× 39 426
Miljana Jovanović 195 0.7× 110 0.5× 75 0.5× 151 2.0× 80 1.3× 29 387
Katarzyna Pichór 215 0.8× 191 0.9× 135 0.9× 51 0.7× 23 0.4× 16 364
Jacques-Élie Furter 187 0.7× 99 0.5× 102 0.7× 176 2.4× 84 1.4× 16 416

Countries citing papers authored by Dianli Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Dianli Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianli Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Dianli Zhao. A scholar is included among the top collaborators of Dianli Zhao 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 Dianli Zhao. Dianli Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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