Quantong Guo
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Complex Network Analysis Techniques 12
- Opinion Dynamics and Social Influence 11
-
- Mental Health Research Topics 4
- Co-authors
- Chengyi Xia (4 shared papers)Zhishuang Wang (2 shared papers)Matthias Dehmer (2 shared papers)Chunyuan Zheng (2 shared papers)Xin Jiang (7 shared papers)Yifang Ma (5 shared papers)Shiwen Sun (1 shared paper)Zhiming Zheng (7 shared papers)
- Journals
- Physica A Statistical Mechanics and its Applications (2 papers)Applied Mathematics and Computation (1 paper)Physical review. E (1 paper)Journal of Parallel and Distributed Computing (1 paper)International Journal for Uncertainty Quantification (1 paper)
- Partner nations
- ChinaAustriaUnited States
In The Last Decade
Quantong Guo
12 papers receiving 843 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 294
- Statistical and Nonlinear Physics 660
- Experimental and Cognitive Psychology 102
- Computer Networks and Communications 104
- Communication 29
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 25 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 | 2018 | 206 | |
| 2 | 2019 | 155 | |
| 3 | 2015 | 143 | |
| 4 | 2018 | 112 | |
| 5 | 2016 | 62 | |
| 6 | 2015 | 38 | |
| 7 | 2017 | 38 | |
| 8 | 2016 | 31 | |
| 9 | 2016 | 29 | |
| 10 | 2016 | 25 | |
| 11 | 2017 | 12 | |
| 12 | 2013 | 4 | |
| 13 | 2016 | 0 |
About Quantong Guo
Quantong Guo is a scholar working on Statistical and Nonlinear Physics, Experimental and Cognitive Psychology, Modeling and Simulation, Computer Networks and Communications and Molecular Biology, having authored 13 papers that have together received 855 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (11 papers), Mental Health Research Topics (4 papers), COVID-19 epidemiological studies (3 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Diffusion and Search Dynamics (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Modeling and Simulation (294 citations), Statistical and Nonlinear Physics (660 citations), Experimental and Cognitive Psychology (102 citations), Computer Networks and Communications (104 citations) and Communication (29 citations). Quantong Guo has collaborated with scholars based in China, Austria and United States. Frequent co-authors include Chengyi Xia, Zhishuang Wang, Matthias Dehmer, Chunyuan Zheng, Xin Jiang, Yifang Ma, Shiwen Sun, Zhiming Zheng, Yongtang Shi and Zengqiang Chen. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Applied Mathematics and Computation, Physical review. E, Journal of Parallel and Distributed Computing 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.