Hua Zhou

3.3k total citations
105 papers, 2.0k citations indexed

About

Hua Zhou is a scholar working on Statistics and Probability, Genetics and Molecular Biology. According to data from OpenAlex, Hua Zhou has authored 105 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 25 papers in Genetics and 21 papers in Molecular Biology. Recurrent topics in Hua Zhou's work include Genetic Associations and Epidemiology (21 papers), Statistical Methods and Inference (20 papers) and Sparse and Compressive Sensing Techniques (15 papers). Hua Zhou is often cited by papers focused on Genetic Associations and Epidemiology (21 papers), Statistical Methods and Inference (20 papers) and Sparse and Compressive Sensing Techniques (15 papers). Hua Zhou collaborates with scholars based in United States, China and South Korea. Hua Zhou's co-authors include Kenneth Lange, Lexin Li, Hongtu Zhu, Jin Zhou, Janet S. Sinsheimer, David H. Alexander, Mary E. Sehl, C. Eric, Juhyun Kim and Eric M. Sobel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Hua Zhou

98 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Zhou United States 22 515 398 282 279 270 105 2.0k
Thomas Sauer United States 28 1.2k 2.3× 445 1.1× 127 0.5× 125 0.4× 63 0.2× 74 3.1k
Anru R. Zhang United States 22 190 0.4× 103 0.3× 235 0.8× 226 0.8× 296 1.1× 67 1.5k
H. V. Henderson New Zealand 24 346 0.7× 470 1.2× 195 0.7× 35 0.1× 274 1.0× 68 2.7k
Annie Qu United States 26 218 0.4× 129 0.3× 465 1.6× 92 0.3× 1.2k 4.5× 113 2.6k
Jie Peng China 24 964 1.9× 265 0.7× 192 0.7× 16 0.1× 325 1.2× 115 2.6k
Weichuan Yu Hong Kong 25 1.4k 2.7× 790 2.0× 263 0.9× 35 0.1× 51 0.2× 98 3.0k
Laurent Jacob France 16 905 1.8× 124 0.3× 314 1.1× 10 0.0× 180 0.7× 30 1.7k
Yang Feng United States 26 655 1.3× 102 0.3× 630 2.2× 18 0.1× 846 3.1× 115 2.7k
Debashis Paul United States 15 280 0.5× 115 0.3× 377 1.3× 16 0.1× 734 2.7× 42 1.7k
Ping Ma China 31 794 1.5× 128 0.3× 569 2.0× 13 0.0× 377 1.4× 204 3.3k

Countries citing papers authored by Hua Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Hua Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Zhou. A scholar is included among the top collaborators of Hua 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 Hua Zhou. Hua 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.
Lange, Kenneth, et al.. (2025). A Cornucopia of Maximum Likelihood Algorithms. The American Statistician. 79(4). 538–548.
2.
Zhou, Hua, et al.. (2024). Running and Steering Gait Generation Based on Double-Leg 3D-SLIP Model for Bipedal Robots. Procedia Computer Science. 250. 164–171.
3.
Sobel, Eric M., et al.. (2024). Estimation of genetic admixture proportions via haplotypes. Computational and Structural Biotechnology Journal. 23. 4384–4395.
4.
Zhou, Xinkai, et al.. (2024). Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation. The American Statistician. 78(4). 379–390. 2 indexed citations
5.
6.
Zhou, Hua, et al.. (2023). Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality. Journal of the American Statistical Association. 119(547). 1–12.
7.
Peterson, Daniel G., Jeanette C. Papp, David H. Alexander, et al.. (2023). Unsupervised discovery of ancestry-informative markers and genetic admixture proportions in biobank-scale datasets. The American Journal of Human Genetics. 110(2). 314–325. 4 indexed citations
8.
Zhou, Jin, et al.. (2023). Multivariate genome-wide association analysis by iterative hard thresholding. Bioinformatics. 39(4).
9.
10.
Yang, Min, et al.. (2022). Acylcarnitines: Can They Be Biomarkers of Diabetic Nephropathy?. SHILAP Revista de lepidopterología. 11 indexed citations
11.
Sobel, Eric M., et al.. (2021). A fast data-driven method for genotype imputation, phasing and local ancestry inference: MendelImpute.jl. Bioinformatics. 37(24). 4756–4763. 4 indexed citations
12.
Keys, Kevin L., Chris German, Hua Zhou, et al.. (2020). Iterative hard thresholding in genome-wide association studies: Generalized linear models, prior weights, and double sparsity. GigaScience. 9(6). 10 indexed citations
13.
Wang, Xiaoyan, et al.. (2019). Genetic Diversity of Coffee Germplasms by ISSR Markers. Redai zuowu xuebao. 40(2). 300. 3 indexed citations
14.
Zhou, Hua, et al.. (2018). MM Algorithms for Variance Components Models. Journal of Computational and Graphical Statistics. 28(2). 350–361. 17 indexed citations
15.
Zhao, Ni, Jun Chen, Ian M. Carroll, et al.. (2015). Testing in Microbiome-Profiling Studies with MiRKAT, the Microbiome Regression-Based Kernel Association Test. The American Journal of Human Genetics. 96(5). 797–807. 203 indexed citations
16.
Zhou, Hua, et al.. (2012). Determining Duration of HER2-Targeted Therapy Using Stem Cell Extinction Models. PLoS ONE. 7(12). e46613–e46613. 1 indexed citations
17.
Eric, C., Hua Zhou, Gary K. Chen, Diego Ortega‐Del Vecchyo, & Kenneth Lange. (2012). Genotype imputation via matrix completion. Genome Research. 23(3). 509–518. 46 indexed citations
18.
Sehl, Mary E., Janet S. Sinsheimer, Hua Zhou, & Kenneth Lange. (2009). Differential Destruction of Stem Cells: Implications for Targeted Cancer Stem Cell Therapy. Cancer Research. 69(24). 9481–9489. 29 indexed citations
19.
Zhou, Hua & Kenneth Lange. (2009). Composition Markov chains of multinomial type. Advances in Applied Probability. 41(1). 270–291. 12 indexed citations
20.
Zhou, Yufeng, Fang Feng, Hua Zhou, et al.. (2006). [Inhibitory effect of murine cytomegalovirus infection on neural stem cells' differentiation and its mechanisms].. PubMed. 44(7). 505–8. 4 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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