Aiyou Chen

1.3k total citations · 1 hit paper
19 papers, 623 citations indexed

About

Aiyou Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Aiyou Chen has authored 19 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Aiyou Chen's work include Complex Network Analysis Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Advanced Clustering Algorithms Research (3 papers). Aiyou Chen is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Advanced Clustering Algorithms Research (3 papers). Aiyou Chen collaborates with scholars based in United States, Germany and China. Aiyou Chen's co-authors include Peter J. Bickel, Elizaveta Levina, Jin Cao, Tian Bu, Donghui Yan, Michael I. Jordan, Weiyi Meng, Ming Xiong, Thomas Bengtsson and Tin Kam Ho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and IEEE Transactions on Signal Processing.

In The Last Decade

Aiyou Chen

18 papers receiving 579 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A nonparametric view of network models and Newman–Girvan and other modularities

2009 372 citations Peter J. Bickel, Aiyou Chen Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Aiyou Chen United States	9	348	225	137	80	79	19	623
Julio Flores Spain	12	300 0.9×	64 0.3×	96 0.7×	96 1.2×	39 0.5×	39	548
Mihai Cucuringu United Kingdom	14	132 0.4×	100 0.4×	26 0.2×	43 0.5×	42 0.5×	68	568
Yu. M. Suhov Russia	12	119 0.3×	70 0.3×	80 0.6×	90 1.1×	22 0.3×	36	531
Thomas Sauerwald Germany	15	163 0.5×	69 0.3×	57 0.4×	350 4.4×	52 0.7×	64	545
Peter Orbanz United Kingdom	6	79 0.2×	169 0.8×	77 0.6×	10 0.1×	21 0.3×	12	314
Trevor Fenner United Kingdom	11	91 0.3×	102 0.5×	21 0.2×	93 1.2×	24 0.3×	48	447
Balázs Szegedy Hungary	13	145 0.4×	134 0.6×	116 0.8×	52 0.7×	26 0.3×	39	854
Pavel Chebotarev Russia	13	252 0.7×	156 0.7×	13 0.1×	168 2.1×	48 0.6×	41	648
Catherine Greenhill Australia	18	81 0.2×	188 0.8×	401 2.9×	103 1.3×	34 0.4×	59	989
Steffen Dereich Germany	13	109 0.3×	61 0.3×	98 0.7×	18 0.2×	7 0.1×	38	589

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-authorship network of co-authors of Aiyou Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Aiyou Chen. A scholar is included among the top collaborators of Aiyou Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aiyou Chen. Aiyou Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

1.

Athey, Susan, et al.. (2023). Semi-parametric estimation of treatment effects in randomised experiments. Journal of the Royal Statistical Society Series B (Statistical Methodology). 85(5). 1615–1638. 4 indexed citations

2.

Qi, Xiaoyan, et al.. (2023). Data-Driven Cluster Method for Photovoltaic Power Stations. 4409–4413. 1 indexed citations

3.

Chen, Aiyou, et al.. (2022). Robust causal inference for incremental return on ad spend with randomized paired geo experiments. The Annals of Applied Statistics. 16(1). 2 indexed citations

4.

Chen, Aiyou, et al.. (2015). Reliability and Economic Comparison of Ultra-long-distance Transmission Mode. 1 indexed citations

5.

Walid, Anwar & Aiyou Chen. (2015). Efficient and dynamic bandwidth allocation for Non-Status Reporting Gigabit Passive Optical Networks (GPON). 15. 1000–1005. 8 indexed citations

6.

Bickel, Peter J., Aiyou Chen, Yunpeng Zhao, Elizaveta Levina, & Ji Zhu. (2015). Correction to the proof of consistency of community detection. The Annals of Statistics. 43(1). 4 indexed citations

7.

Yan, Donghui, Aiyou Chen, & Michael I. Jordan. (2013). Cluster Forests. Computational Statistics & Data Analysis. 66. 178–192. 28 indexed citations

8.

Chen, Aiyou, et al.. (2012). Fitting community models to large sparse networks. arXiv (Cornell University). 10 indexed citations

9.

Bickel, Peter J., Aiyou Chen, & Elizaveta Levina. (2011). The method of moments and degree distributions for network models. 90 indexed citations

10.

Chen, Aiyou, et al.. (2011). NoBot: Embedded malware detection for endpoint devices. Bell Labs Technical Journal. 16(1). 155–170. 3 indexed citations

11.

Chen, Aiyou, Jin Cao, L. A. Shepp, & Tuan Dung Nguyen. (2011). Distinct Counting With a Self-Learning Bitmap. Journal of the American Statistical Association. 106(495). 879–890. 12 indexed citations

12.

Cao, Jin, Aiyou Chen, & Patrick P. C. Lee. (2011). Modeling time correlation in passive network loss tomography. 45. 550–561. 3 indexed citations

13.

Chen, Aiyou, et al.. (2011). Efficient SPectrAl Neighborhood blocking for entity resolution. 14. 1067–1078. 24 indexed citations

14.

Walid, Anwar & Aiyou Chen. (2010). Self-adaptive dynamic bandwidth allocation for GPON. Bell Labs Technical Journal. 15(3). 131–139.

15.

Chen, Aiyou, Jin Cao, & Tian Bu. (2010). Network Tomography: Identifiability and Fourier Domain Estimation. IEEE Transactions on Signal Processing. 58(12). 6029–6039. 39 indexed citations

16.

Chen, Aiyou, Thomas Bengtsson, & Tin Kam Ho. (2009). A Regression Paradox for Linear Models: Sufficient Conditions and Relation to Simpson’s Paradox. The American Statistician. 63(3). 218–225. 14 indexed citations

17.

Bickel, Peter J. & Aiyou Chen. (2009). A nonparametric view of network models and Newman–Girvan and other modularities. Proceedings of the National Academy of Sciences. 106(50). 21068–21073. 372 indexed citations breakdown →

18.

Li, Li Erran, Aiyou Chen, Tian Bu, & Scott J. Miller. (2009). Detecting subscribers using NAT devices in wireless data networks. Bell Labs Technical Journal. 14(2). 223–233. 1 indexed citations

19.

Chen, Aiyou, Jin Cao, & Tian Bu. (2007). A simple and efficient estimation method for stream expression cardinalities. Very Large Data Bases. 171–182. 7 indexed citations

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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