Quantong Guo
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Complex Network Analysis Techniques 11
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- Nonlinear Dynamics and Pattern Formation 1
- Co-authors
- Chengyi Xia (4 shared papers)Zhishuang Wang (2 shared papers)Matthias Dehmer (2 shared papers)Xin Jiang (7 shared papers)Shiwen Sun (1 shared paper)Yifang Ma (5 shared papers)Zhiming Zheng (5 shared papers)Yongtang Shi (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (2 papers)Journal of Parallel and Distributed Computing (1 paper)Europhysics Letters (EPL) (1 paper)PLoS ONE (1 paper)International Journal for Uncertainty Quantification (1 paper)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Quantong Guo
13 papers receiving 904 citations
Quantong Guo's Hit Papers
Peers
Comparison fields: 5 of 57
- Statistical and Nonlinear Physics 705
- Modeling and Simulation 44
- Public Health, Environmental and Occupational Health 249
- Economics and Econometrics 41
- Management Science and Operations Research 20
Countries citing papers authored by Quantong Guo
This map shows the geographic impact of Quantong Guo'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 Quantong Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quantong Guo more than expected).
Fields of papers citing papers by Quantong Guo
This network shows the impact of papers produced by Quantong Guo. 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 Quantong Guo. The network helps show where Quantong Guo may publish in the future.
Co-authors
The 23 scholars most cited alongside Quantong Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A new coupled disease-awareness spreading model with mass media on multiplex networks Hit paper breakdown → | 2018 | 221 |
| 2 | 2019 | 165 | |
| 3 | 2015 | 150 | |
| 4 | 2018 | 117 | |
| 5 | 2016 | 65 | |
| 6 | 2016 | 46 | |
| 7 | 2015 | 43 | |
| 8 | 2017 | 40 | |
| 9 | 2016 | 32 | |
| 10 | 2016 | 27 | |
| 11 | 2017 | 13 | |
| 12 | 2013 | 4 | |
| 13 | 2016 | 1 |
About Quantong Guo
Quantong Guo is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Economics and Econometrics, Public Health, Environmental and Occupational Health and Nuclear Energy and Engineering, having authored 13 papers that have together received 924 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), Complex Systems and Time Series Analysis (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper) and Nonlinear Dynamics and Pattern Formation (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (705 citations), Modeling and Simulation (44 citations), Public Health, Environmental and Occupational Health (249 citations), Economics and Econometrics (41 citations) and Management Science and Operations Research (20 citations). Quantong Guo has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Chengyi Xia, Zhishuang Wang, Matthias Dehmer, Xin Jiang, Shiwen Sun, Yifang Ma, Zhiming Zheng, Yongtang Shi, Zengqiang Chen and Emanuele Cozzo. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of Parallel and Distributed Computing, Europhysics Letters (EPL), PLoS ONE and International Journal for Uncertainty Quantification.
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.