Xiao-Ke Xu
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Complex Network Analysis Techniques 66
- Opinion Dynamics and Social Influence 38
-
- COVID-19 epidemiological studies 28
- Co-authors
- Michael Small (19 shared papers)Lin Wang (15 shared papers)Zhanwei Du (19 shared papers)Benjamin J. Cowling (13 shared papers)Jie Zhang (1 shared paper)Lauren Ancel Meyers (3 shared papers)Ye Wu (2 shared papers)Jie Zhang (5 shared papers)
- Journals
- Physica A Statistical Mechanics and its Applications (10 papers)IEEE Transactions on Computational Social Systems (9 papers)IEEE Transactions on Network Science and Engineering (4 papers)Clinical Infectious Diseases (3 papers)IEEE Access (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiao-Ke Xu
104 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 158
- Modeling and Simulation 946
- Statistical and Nonlinear Physics 901
- Infectious Diseases 542
- Economics and Econometrics 620
- Signal Processing 159
Countries citing papers authored by Xiao-Ke Xu
This map shows the geographic impact of Xiao-Ke Xu'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 Xiao-Ke Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao-Ke Xu more than expected).
Fields of papers citing papers by Xiao-Ke Xu
This network shows the impact of papers produced by Xiao-Ke Xu. 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 Xiao-Ke Xu. The network helps show where Xiao-Ke Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao-Ke Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 408 | |
| 2 | 2008 | 389 | |
| 3 | 2020 | 261 | |
| 4 | 2020 | 217 | |
| 5 | 2015 | 70 | |
| 6 | 2020 | 69 | |
| 7 | 2018 | 67 | |
| 8 | 2010 | 59 | |
| 9 | 2013 | 58 | |
| 10 | 2022 | 57 | |
| 11 | 2011 | 50 | |
| 12 | 2010 | 49 | |
| 13 | 2020 | 45 | |
| 14 | 2015 | 45 | |
| 15 | 2012 | 42 | |
| 16 | 2013 | 41 | |
| 17 | 2017 | 33 | |
| 18 | 2020 | 26 | |
| 19 | 2010 | 26 | |
| 20 | 2008 | 26 |
About Xiao-Ke Xu
Xiao-Ke Xu is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Artificial Intelligence, Molecular Biology and Sociology and Political Science, having authored 113 papers that have together received 2.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (66 papers), Opinion Dynamics and Social Influence (38 papers), COVID-19 epidemiological studies (28 papers), Advanced Graph Neural Networks (17 papers), Bioinformatics and Genomic Networks (15 papers), COVID-19 Pandemic Impacts (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Data-Driven Disease Surveillance (7 papers). The work is most often cited by research in Modeling and Simulation (946 citations), Statistical and Nonlinear Physics (901 citations), Infectious Diseases (542 citations), Economics and Econometrics (620 citations) and Signal Processing (159 citations). Xiao-Ke Xu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Michael Small, Lin Wang, Zhanwei Du, Benjamin J. Cowling, Jie Zhang, Lauren Ancel Meyers, Ye Wu, Jie Zhang, Eric H. Y. Lau and Jing Xiao. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, IEEE Transactions on Computational Social Systems, IEEE Transactions on Network Science and Engineering, Clinical Infectious Diseases and IEEE Access.
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.