Mai Zhou

937 total citations
45 papers, 585 citations indexed

About

Mai Zhou is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Mai Zhou has authored 45 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Mai Zhou's work include Statistical Methods and Inference (27 papers), Statistical Methods and Bayesian Inference (18 papers) and Statistical Distribution Estimation and Applications (17 papers). Mai Zhou is often cited by papers focused on Statistical Methods and Inference (27 papers), Statistical Methods and Bayesian Inference (18 papers) and Statistical Distribution Estimation and Applications (17 papers). Mai Zhou collaborates with scholars based in United States, China and Hong Kong. Mai Zhou's co-authors include Arnold J. Stromberg, А. В. Иванов, Mendel Fygenson, Gang Li, Jong‐Hyeon Jeong, Jian-Jian Ren, Mi‐Ok Kim, Arne C. Bathke, Cidambi Srinivasan and Yifan Yang and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

In The Last Decade

Mai Zhou

39 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mai Zhou United States 14 434 80 46 42 37 45 585
Guido del Pino Chile 10 111 0.3× 28 0.3× 72 1.6× 28 0.7× 12 0.3× 16 370
Andréa V. Rocha Brazil 6 208 0.5× 56 0.7× 40 0.9× 38 0.9× 43 1.2× 10 374
George E. Policello United States 8 298 0.7× 83 1.0× 64 1.4× 51 1.2× 150 4.1× 10 643
Biao Zhang United States 13 469 1.1× 133 1.7× 20 0.4× 39 0.9× 36 1.0× 55 578
P. M. Grundy United States 11 259 0.6× 127 1.6× 52 1.1× 94 2.2× 40 1.1× 16 597
Dale S. Borowiak United States 6 129 0.3× 49 0.6× 32 0.7× 21 0.5× 39 1.1× 10 362
Michel Lejeune France 11 190 0.4× 75 0.9× 29 0.6× 61 1.5× 16 0.4× 105 560
Yannis Bilias United States 8 213 0.5× 40 0.5× 33 0.7× 22 0.5× 153 4.1× 14 431
Huazhen Lin China 12 320 0.7× 105 1.3× 25 0.5× 25 0.6× 39 1.1× 60 540

Countries citing papers authored by Mai Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Mai Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Zhou. A scholar is included among the top collaborators of Mai 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 Mai Zhou. Mai 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
1.
2.
Cui, Yifan, Ruoqing Zhu, Mai Zhou, & Michael R. Kosorok. (2020). Consistency of survival tree and forest models: splitting bias and correction. Statistica Sinica. 8 indexed citations
3.
Zhou, Mai. (2020). Restricted mean survival time and confidence intervals by empirical likelihood ratio. Journal of Biopharmaceutical Statistics. 31(3). 362–374. 4 indexed citations
4.
Zhou, Mai & Yifan Yang. (2017). Constrained Kaplan–Meier curve and empirical likelihood. Wiley Interdisciplinary Reviews Computational Statistics. 9(4). 1 indexed citations
5.
Zhou, Mai. (2015). Empirical Likelihood Method in Survival Analysis. 21 indexed citations
6.
Kim, Mi‐Ok, Mai Zhou, & Jong‐Hyeon Jeong. (2011). Censored quantile regression for residual lifetimes. Lifetime Data Analysis. 18(2). 177–194. 9 indexed citations
7.
Zhou, Mai, Mi‐Ok Kim, & Arne C. Bathke. (2011). Empirical likelihood analysis for the heteroscedastic accelerated failure time model. Statistica Sinica. 22(1). 10 indexed citations
8.
Zhou, Mai & Jong‐Hyeon Jeong. (2010). Empirical likelihood ratio test for median and mean residual lifetime. Statistics in Medicine. 30(2). 152–159. 14 indexed citations
9.
Huang, Liping, Wenying Zhu, Christopher P. Saunders, et al.. (2008). A novel application of quantile regression for identification of biomarkers exemplified by equine cartilage microarray data. BMC Bioinformatics. 9(1). 300–300. 9 indexed citations
10.
Zhou, Mai & Gang Li. (2007). Empirical likelihood analysis of the Buckley–James estimator. Journal of Multivariate Analysis. 99(4). 649–664. 23 indexed citations
11.
Chen, Kun & Mai Zhou. (2007). Computation of the empirical likelihood ratio from censored data. Journal of Statistical Computation and Simulation. 77(12). 1033–1042. 1 indexed citations
12.
Zhou, Mai. (2005). Empirical likelihood analysis of the rank estimator for the censored accelerated failure time model. Biometrika. 92(2). 492–498. 40 indexed citations
13.
Zhou, Mai. (2004). NONPARAMETRIC BAYES ESTIMATOR OF SURVIVAL FUNCTIONS FOR DOUBLY/INTERVAL CENSORED DATA. 7 indexed citations
14.
Zhou, Mai, et al.. (2003). Non-parametric Hypothesis Testing and Confidence Intervals with Doubly Censored Data. Lifetime Data Analysis. 9(1). 71–91. 8 indexed citations
15.
Zhou, Mai, et al.. (2002). Empirical Likelihood Ratio in Terms of Cumulative Hazard Function for Censored Data. Journal of Multivariate Analysis. 80(1). 166–188. 16 indexed citations
16.
Zhou, Mai. (2002). Grey Series GM(1,1)Model in Prediction of Cardiocerebrovascular Disease. China Public Health. 2 indexed citations
17.
Zhou, Mai. (2001). Understanding the Cox Regression Models With Time-Change Covariates. The American Statistician. 55(2). 153–155. 36 indexed citations
18.
Ren, Jian-Jian & Mai Zhou. (1997). L-estimators and m-estimators for doubly censored data. Journal of nonparametric statistics. 8(1). 1–20. 5 indexed citations
19.
Wang, Weiren & Mai Zhou. (1996). Semi-parametric estimation of disequilibrium models. Econometric Reviews. 15(4). 445–462.
20.
Zhou, Mai. (1992). Difference of means test with censored data. Communications in Statistics - Simulation and Computation. 21(3). 697–706. 1 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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