Harrison H. Zhou

2.8k citations
40 papers · 1.2k indexed · h-index 20
Topics
Statistical Methods and Inference (26 papers)Bayesian Methods and Mixture Models (9 papers)Statistical Methods and Bayesian Inference (8 papers)

In The Last Decade

Harrison H. Zhou

36 papers receiving 1.1k citations

Peers

Harrison H. Zhou
Comparison fields: 5 of 108
  • Statistics and Probability 634
  • Artificial Intelligence 365
  • Statistical and Nonlinear Physics 175
  • Computational Mechanics 172
  • Molecular Biology 149
Replace Stéphane Boucheron with:
Stéphane Boucheron France
Sourav Chatterjee United States
Chii-Ruey Hwang Taiwan
Yihong Wu United States
Zongming Ma United States
Alain Berlinet France
Ayanendranath Basu India
Jiashun Jin United States
Noureddine El Karoui United States
Michele Pavon Italy
Harrison H. Zhou relative to Stéphane Boucheron France Stéphane Boucheron's profile →
Citations per field
00.5×1.7×
Stéphane Boucheron · 1×
Citations per year

Countries citing papers authored by Harrison H. Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Harrison H. Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harrison H. Zhou. 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 Harrison H. Zhou. The network helps show where Harrison H. Zhou may publish in the future.

Co-authorship network of co-authors of Harrison H. Zhou

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 0
4 13
5 71
6
Optimal estimation and completion of matrices with biclustering structures
19
7 97
8 3
9 100
10 30
11 39
12 15
13
A DATA-DRIVEN BLOCK THRESHOLDING APPROACH TO WAVELET ESTIMATION
39
14
ROBUST NONPARAMETRIC ESTIMATION VIA WAVELET MEDIAN REGRESSION
16
15 49
16 0
17
FUNCTIONAL REGRESSION FOR GENERAL EXPONENTIAL FAMILIES
1
18 26
19 43
20 17

About Harrison H. Zhou

Harrison H. Zhou is a scholar working on Statistics and Probability, Structural Biology and Finance, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (26 papers), Bayesian Methods and Mixture Models (9 papers) and Statistical Methods and Bayesian Inference (8 papers). The work is most often cited by research in Statistics and Probability (634 citations), Computational Mathematics (13 citations) and Statistical and Nonlinear Physics (175 citations). Harrison H. Zhou has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Tommaso Cai, Zhao Ren, Chao Gao, Zongming Ma, Hongyu Zhao, Weidong Liu, Chao Gao, Yu Lu, Cun‐Hui Zhang and Tingni Sun. Their work appears in journals such as Journal of the American Statistical Association, Monthly Notices of the Royal Astronomical Society 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.

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