Aiyou Chen
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Random Matrices and Applications
Papers in
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- Internet Traffic Analysis and Secure E-voting 3
- Advanced Clustering Algorithms Research 3
- Co-authors
- Peter J. Bickel (5 shared papers)Elizaveta Levina (3 shared papers)Jin Cao (4 shared papers)Tian Bu (3 shared papers)Michael I. Jordan (1 shared paper)Donghui Yan (1 shared paper)Ming Xiong (1 shared paper)Weiyi Meng (1 shared paper)
- Journals
- Bell Labs Technical Journal (3 papers)The American Statistician (1 paper)Computational Statistics & Data Analysis (1 paper)The Annals of Applied Statistics (1 paper)The Annals of Statistics (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Aiyou Chen
18 papers receiving 579 citations
Aiyou Chen's Hit Papers
Peers
Comparison fields: 5 of 85
- Statistical and Nonlinear Physics 348
- Statistics and Probability 137
- Computational Mathematics 7
- Artificial Intelligence 225
- Geometry and Topology 49
Countries citing papers authored by Aiyou Chen
This map shows the geographic impact of Aiyou Chen'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 Aiyou Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiyou Chen more than expected).
Fields of papers citing papers by Aiyou Chen
This network shows the impact of papers produced by Aiyou Chen. 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 Aiyou Chen. The network helps show where Aiyou Chen may publish in the future.
Co-authors
The 24 scholars most cited alongside Aiyou Chen, 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 nonparametric view of network models and Newman–Girvan and other modularities Hit paper breakdown → | 2009 | 372 |
| 2 | The method of moments and degree distributions for network models | 2011 | 90 |
| 3 | 2010 | 39 | |
| 4 | 2013 | 28 | |
| 5 | 2011 | 24 | |
| 6 | 2009 | 14 | |
| 7 | 2011 | 12 | |
| 8 | Fitting community models to large sparse networks | 2012 | 10 |
| 9 | 2015 | 8 | |
| 10 | A simple and efficient estimation method for stream expression cardinalities | 2007 | 7 |
| 11 | 2023 | 4 | |
| 12 | 2015 | 4 | |
| 13 | 2011 | 3 | |
| 14 | 2011 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 2009 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2010 | 0 |
About Aiyou Chen
Aiyou Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Statistics and Probability, having authored 19 papers that have together received 623 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Advanced Clustering Algorithms Research (3 papers), Advanced Optical Network Technologies (2 papers), Statistical Methods and Bayesian Inference (2 papers), Advanced Photonic Communication Systems (2 papers), Statistical Methods and Inference (2 papers) and Optical Network Technologies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (348 citations), Statistics and Probability (137 citations), Computational Mathematics (7 citations), Artificial Intelligence (225 citations) and Geometry and Topology (49 citations). Aiyou Chen has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Peter J. Bickel, Elizaveta Levina, Jin Cao, Tian Bu, Michael I. Jordan, Donghui Yan, Ming Xiong, Weiyi Meng, Thomas Bengtsson and Tin Kam Ho. Their work appears in journals such as Bell Labs Technical Journal, The American Statistician, Computational Statistics & Data Analysis, The Annals of Applied Statistics and The Annals of Statistics.
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.