Hui Zou

214 total papers · 41.3k total citations
129 papers, 25.8k citations indexed

About

Hui Zou is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hui Zou has authored 129 papers receiving a total of 25.8k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Statistics and Probability, 34 papers in Artificial Intelligence and 31 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hui Zou's work include Statistical Methods and Inference (55 papers), Face and Expression Recognition (29 papers) and Sparse and Compressive Sensing Techniques (25 papers). Hui Zou is often cited by papers focused on Statistical Methods and Inference (55 papers), Face and Expression Recognition (29 papers) and Sparse and Compressive Sensing Techniques (25 papers). Hui Zou collaborates with scholars based in United States, China and Canada. Hui Zou's co-authors include Trevor Hastie, Robert Tibshirani, Ji Zhu, Ming Yuan, Saharon Rosset, Hao Helen Zhang, Lingzhou Xue, Runze Li, Yi Yang and Bo Kai and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and The Science of The Total Environment.

In The Last Decade

Hui Zou

126 papers receiving 24.8k citations

Hit Papers

Regularization and Variab... 2005 2026 2012 2019 2005 2006 2006 2009 2007 4.0k 8.0k 12.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hui Zou 7.6k 5.8k 4.1k 3.2k 2.8k 129 25.8k
Jianqing Fan 18.3k 2.4× 6.8k 1.2× 2.8k 0.7× 2.1k 0.7× 2.9k 1.0× 341 32.1k
Peter J. Rousseeuw 13.8k 1.8× 10.9k 1.9× 3.9k 0.9× 6.2k 1.9× 1.3k 0.5× 193 52.5k
Peter J. Bickel 9.1k 1.2× 4.1k 0.7× 2.4k 0.6× 969 0.3× 1.1k 0.4× 222 18.9k
Grace Wahba 5.5k 0.7× 4.4k 0.8× 916 0.2× 3.6k 1.1× 3.0k 1.1× 148 21.9k
Iain M. Johnstone 5.8k 0.8× 3.8k 0.7× 1.8k 0.5× 11.2k 3.5× 4.1k 1.5× 117 29.0k
Runze Li 9.0k 1.2× 3.5k 0.6× 2.0k 0.5× 1.1k 0.3× 1.6k 0.6× 391 18.4k
N. M. Laird 6.4k 0.8× 12.5k 2.2× 2.8k 0.7× 5.3k 1.6× 1.1k 0.4× 32 37.2k
Charles J. Stone 5.0k 0.7× 7.7k 1.3× 1.7k 0.4× 1.9k 0.6× 519 0.2× 85 27.0k
Geoffrey J. McLachlan 6.6k 0.9× 12.0k 2.1× 3.8k 0.9× 3.3k 1.0× 436 0.2× 272 29.4k
Peter Bühlmann 4.6k 0.6× 4.2k 0.7× 4.2k 1.0× 950 0.3× 915 0.3× 176 16.1k

Countries citing papers authored by Hui Zou

Since Specialization
Citations

This map shows the geographic impact of Hui Zou'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 Hui Zou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Zou more than expected).

Fields of papers citing papers by Hui Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui Zou. 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 Hui Zou. The network helps show where Hui Zou may publish in the future.

Co-authorship network of co-authors of Hui Zou

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Zou. A scholar is included among the top collaborators of Hui Zou 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 Hui Zou. Hui Zou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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