Gui Guan

474 total citations
10 papers, 347 citations indexed

About

Gui Guan is a scholar working on Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Gui Guan has authored 10 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Genetics. Recurrent topics in Gui Guan's work include Opinion Dynamics and Social Influence (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers) and Complex Network Analysis Techniques (5 papers). Gui Guan is often cited by papers focused on Opinion Dynamics and Social Influence (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers) and Complex Network Analysis Techniques (5 papers). Gui Guan collaborates with scholars based in China and United States. Gui Guan's co-authors include Linhe Zhu, Yimin Li, Zhenyuan Guo, Shuling Shen, Zhengdi Zhang, Fan Yang and Yanyu Xiao and has published in prestigious journals such as Information Sciences, Journal of Mathematical Analysis and Applications and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Gui Guan

10 papers receiving 331 citations

Peers

Gui Guan
Comparison fields: 5 of 42
  • Statistical and Nonlinear Physics 252
  • Public Health, Environmental and Occupational Health 158
  • Modeling and Simulation 89
  • Sociology and Political Science 69
  • Genetics 56
Replace Pierre‐André Noël with:
Pierre‐André Noël Canada
N. Azimi-Tafreshi Iran
Fakhteh Ghanbarnejad Germany
Yanyi Nie China
Qingchu Wu China
Lasko Basnarkov North Macedonia
Angélica S. Mata Brazil
David Soriano‐Paños Spain
L. D. Valdez Argentina
Michael A. Andrews Canada
Pierre‐André Noël Canada View profile →
Citations per field, relative to Gui Guan
Gui Guan · 1×
Citations per year, relative to Gui Guan
Gui Guan · 1×

Countries citing papers authored by Gui Guan

Since Specialization
Citations

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

Fields of papers citing papers by Gui Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gui Guan

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 7
2 12
3 20
4 57
5 17
6 56
7 33
8 6
9 104
10 35

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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