Aiyou Chen

1.3k citations
20 papers · 627 · 1 hit paper · h-index 9

Impact in

Papers in

Aiyou Chen

18 papers receiving 583 citations

Aiyou Chen's Hit Papers

A nonparametric view of network models and Newman–Girvan and other modularities 2009 · 376 citations
3760+5+11Years since publication100200300

Peers

Aiyou Chen
Comparison fields: 5 of 80
  • Statistical and Nonlinear Physics 351
  • Statistics and Probability 136
  • Computational Mathematics 7
  • Artificial Intelligence 224
  • Geometry and Topology 51
Replace Joe Neeman with:
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Peter Orbanz United Kingdom
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Thomas Sauerwald Germany
Anup Rao United States
Guy Bresler United States
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Emmanuel Rio France
Yu. M. Suhov Russia
Aiyou Chen relative to Joe Neeman United States Joe Neeman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aiyou Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Aiyou Chen Line = papers co-authored together Aiyou Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A nonparametric view of network models and Newman–Girvan and other modularities
Hit paper breakdown →
2009376
2
The method of moments and degree distributions for network models
201190
3 201039
4 201328
5 201124
6 200914
7 201112
8
Fitting community models to large sparse networks
201210
9 20158
10
A simple and efficient estimation method for stream expression cardinalities
20077
11 20234
12 20154
13 20113
14 20113
15 20222
16 20151
17 20231
18 20091
19 20230
20 20100

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 20 papers that have together received 627 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Advanced Clustering Algorithms Research (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Advanced Causal Inference Techniques (2 papers), Advanced Photonic Communication Systems (2 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (351 citations), Statistics and Probability (136 citations), Computational Mathematics (7 citations), Artificial Intelligence (224 citations) and Geometry and Topology (51 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, Weiyi Meng, Ming Xiong, Tin Kam Ho and Thomas Bengtsson. Their work appears in journals such as Bell Labs Technical Journal, IEEE Transactions on Signal Processing, Computational Statistics & Data Analysis, The Annals of Applied Statistics and Proceedings of the National Academy of Sciences.

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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