Qing Mai

619 total citations
30 papers, 362 citations indexed

About

Qing Mai is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Mathematics. According to data from OpenAlex, Qing Mai has authored 30 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 11 papers in Computational Mathematics. Recurrent topics in Qing Mai's work include Statistical Methods and Inference (13 papers), Tensor decomposition and applications (11 papers) and Bayesian Methods and Mixture Models (6 papers). Qing Mai is often cited by papers focused on Statistical Methods and Inference (13 papers), Tensor decomposition and applications (11 papers) and Bayesian Methods and Mixture Models (6 papers). Qing Mai collaborates with scholars based in United States and China. Qing Mai's co-authors include Hui Zou, Yuqing Pan, Xin Zhang, Xin Zhang, Sheng Liu, Kai Deng, Shaokang Ren, Wenjing Wang, Debajyoti Sinha and Xin Zhang and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Qing Mai

29 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing Mai United States	12	176	138	70	63	62	30	362
Kazuyoshi Yata Japan	13	341 1.9×	228 1.7×	2 0.0×	105 1.7×	159 2.6×	41	514
Haeran Cho United Kingdom	10	196 1.1×	101 0.7×	4 0.1×	26 0.4×	38 0.6×	24	438
Shengbo Guo United States	8	7 0.0×	124 0.9×	55 0.8×	40 0.6×	5 0.1×	8	227
Lu Lin China	13	412 2.3×	89 0.6×		15 0.2×	15 0.2×	55	505
Miguel A. Gómez–Villegas Spain	11	246 1.4×	109 0.8×		30 0.5×	6 0.1×	30	376
Kazuhiro Seki Japan	12	4 0.0×	246 1.8×	3 0.0×	47 0.7×	69 1.1×	41	403
Eitan Greenshtein Israel	8	231 1.3×	117 0.8×	1 0.0×	15 0.2×	25 0.4×	26	337
Minh‐Ngoc Tran Australia	10	236 1.3×	221 1.6×	1 0.0×	14 0.2×	25 0.4×	39	408
Dmitry Pechyony United States	9	15 0.1×	175 1.3×	2 0.0×	101 1.6×	8 0.1×	12	222

Countries citing papers authored by Qing Mai

Since Specialization

Citations

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

Fields of papers citing papers by Qing Mai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Mai

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

All Works

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20 of 20 papers shown

Mai, Qing, et al.. (2024). Tensor mixture discriminant analysis with applications to sensor array data analysis. The Annals of Applied Statistics. 18(1). 1 indexed citations

Ren, Shaokang, et al.. (2024). Decorrelated nearest shrunken centroids for tensor data. Stat. 13(3).

Mai, Qing, et al.. (2023). Optimality in High-Dimensional Tensor Discriminant Analysis. SSRN Electronic Journal. 1 indexed citations

Zhang, Xin, Kai Deng, & Qing Mai. (2023). Envelopes and principal component regression. Electronic Journal of Statistics. 17(2). 1 indexed citations

Mai, Qing, et al.. (2023). The Tucker Low-Rank Classification Model for Tensor Data. Statistica Sinica. 1 indexed citations

Mai, Qing, et al.. (2023). Model-Based Tensor Low-Rank Clustering. Journal of Computational and Graphical Statistics. 33(1). 208–218. 1 indexed citations

Liu, Sheng, et al.. (2022). The province-managing-county reform and green innovation of enterprises: evidence from the quasi-natural experiment. Environmental Science and Pollution Research. 29(59). 88823–88838. 15 indexed citations

Mai, Qing, et al.. (2022). Coordinatewise Gaussianization: Theories and Applications. Journal of the American Statistical Association. 118(544). 2329–2343. 7 indexed citations

Ren, Shaokang & Qing Mai. (2022). The robust nearest shrunken centroids classifier for high-dimensional heavy-tailed data. Electronic Journal of Statistics. 16(1). 1 indexed citations

10.

Mai, Qing, et al.. (2021). A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering. Journal of the American Statistical Association. 117(540). 2120–2134. 15 indexed citations

11.

Mai, Qing, et al.. (2021). Fast and Separable Estimation in High-Dimensional Tensor Gaussian Graphical Models. Journal of Computational and Graphical Statistics. 31(1). 294–300. 13 indexed citations

12.

Wang, Wenjing, et al.. (2020). Model-based clustering with envelopes. Electronic Journal of Statistics. 14(1). 2 indexed citations

13.

Mai, Qing, et al.. (2020). The Maximum Separation Subspace in Sufficient Dimension Reduction with Categorical Response. 21(29). 1–36. 4 indexed citations

14.

Mai, Qing, et al.. (2018). Model-free envelope dimension selection. Electronic Journal of Statistics. 12(2). 12 indexed citations

15.

Pan, Yuqing, et al.. (2018). Covariate-Adjusted Tensor Classification in High Dimensions. Journal of the American Statistical Association. 114(527). 1305–1319. 43 indexed citations

16.

Mai, Qing & Hui Zou. (2015). Sparse semiparametric discriminant analysis. Journal of Multivariate Analysis. 135. 175–188. 13 indexed citations

17.

Mai, Qing & Hui Zou. (2015). The fused Kolmogorov filter: A nonparametric model-free screening method. The Annals of Statistics. 43(4). 88 indexed citations

18.

Mai, Qing & Hui Zou. (2014). Nonparametric Variable Transformation in Sufficient Dimension Reduction. Technometrics. 57(1). 1–10. 5 indexed citations

19.

Mai, Qing & Hui Zou. (2013). Semiparametric Sparse Discriminant Analysis in Ultra-High Dimensions. arXiv (Cornell University). 5 indexed citations

20.

Mai, Qing. (2013). A review of discriminant analysis in high dimensions. Wiley Interdisciplinary Reviews Computational Statistics. 5(3). 190–197. 36 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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