Guoping Pang

482 citations
29 papers · 400 · h-index 12

Impact in

Papers in

Guoping Pang

28 papers receiving 380 citations

Peers

Guoping Pang
Comparison fields: 5 of 46
  • Modeling and Simulation 138
  • Public Health, Environmental and Occupational Health 287
  • Statistical and Nonlinear Physics 79
  • Genetics 157
  • Geometry and Topology 41
Replace Yuanfu Shao with:
Yuanfu Shao China
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Alfonso Ruiz-Herrera Spain
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Guoping Pang relative to Yuanfu Shao China Yuanfu Shao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guoping Pang

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Guoping Pang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guoping Pang Line = papers co-authored together Guoping Pang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200662
2 200950
3 200742
4 201436
5 200622
6 201421
7 200717
8 201716
9 201016
10 200713
11 201512
12 200711
13 200711
14 201511
15 20169
16 20088
17 20077
18 20075
19 20095
20 20075

About Guoping Pang

Guoping Pang is a scholar working on Public Health, Environmental and Occupational Health, Geometry and Topology, Genetics, Computer Networks and Communications and Ecology, having authored 29 papers that have together received 400 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (26 papers), Advanced Differential Equations and Dynamical Systems (13 papers), Evolution and Genetic Dynamics (11 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Nonlinear Differential Equations Analysis (5 papers), Animal Ecology and Behavior Studies (4 papers), Quantum chaos and dynamical systems (3 papers) and Evolutionary Game Theory and Cooperation (3 papers). The work is most often cited by research in Modeling and Simulation (138 citations), Public Health, Environmental and Occupational Health (287 citations), Statistical and Nonlinear Physics (79 citations), Genetics (157 citations) and Geometry and Topology (41 citations). Guoping Pang has collaborated with scholars based in China. Frequent co-authors include Lansun Chen, Fengyan Wang, Yongjian Liu, Qigui Yang, Jianjun Jiao, Weijian Xu, Zhiqing Liang, Zhengyi Lu, Shuwen Zhang and Xianbo Sun. Their work appears in journals such as Chaos Solitons & Fractals, Nonlinear Dynamics, Communications in Nonlinear Science and Numerical Simulation, Journal of Computational and Applied Mathematics and Applied Mathematics and Computation.

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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