Lingzhou Xue

2.1k total citations
62 papers, 1.2k citations indexed

About

Lingzhou Xue is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Lingzhou Xue has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 22 papers in Artificial Intelligence and 13 papers in Molecular Biology. Recurrent topics in Lingzhou Xue's work include Statistical Methods and Inference (20 papers), Bayesian Methods and Mixture Models (12 papers) and Sparse and Compressive Sensing Techniques (7 papers). Lingzhou Xue is often cited by papers focused on Statistical Methods and Inference (20 papers), Bayesian Methods and Mixture Models (12 papers) and Sparse and Compressive Sensing Techniques (7 papers). Lingzhou Xue collaborates with scholars based in United States, China and Australia. Lingzhou Xue's co-authors include Hui Zou, Jianqing Fan, Lixing Zhu, Shiqian Ma, Cheng Zhu, Yunfeng Chen, Lining Arnold Ju, Jiawei Yao, Xiaoyue Niu and Xiang Zhan and has published in prestigious journals such as Nature Materials, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Lingzhou Xue

58 papers receiving 1.1k citations

Peers

Lingzhou Xue
Laura M. Sangalli Italy
Lutz Dümbgen Switzerland
J. Sunil Rao United States
Sara A. van de Geer Netherlands
Debashis Paul United States
Veronika Ročková United States
Lan Wang United States
Jacob Bien United States
Guo‐Liang Tian China
Aurélie Lozano United States
Laura M. Sangalli Italy
Lingzhou Xue
Citations per year, relative to Lingzhou Xue Lingzhou Xue (= 1×) peers Laura M. Sangalli

Countries citing papers authored by Lingzhou Xue

Since Specialization
Citations

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

Fields of papers citing papers by Lingzhou Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingzhou Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Lingzhou Xue. A scholar is included among the top collaborators of Lingzhou Xue 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 Lingzhou Xue. Lingzhou Xue 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
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Liu, Tianyu, et al.. (2025). spVelo: RNA velocity inference for multi-batch spatial transcriptomics data. Genome biology. 26(1). 239–239. 1 indexed citations
4.
Li, Bing, et al.. (2025). Nonlinear global Fréchet regression for random objects via weak conditional expectation. The Annals of Statistics. 53(1). 117–143. 1 indexed citations
5.
Chen, Qian, et al.. (2024). Model-Based Co-Clustering in Customer Targeting Utilizing Large-Scale Online Product Rating Networks. Journal of Business and Economic Statistics. 43(3). 495–507.
6.
Wen, Tao, et al.. (2024). Wastewaters Coproduced with Shale Gas Drive Slight Regional Salinization of Groundwater. Environmental Science & Technology. 58(40). 17862–17873. 4 indexed citations
7.
Ma, Shiqian, et al.. (2024). A New Inexact Proximal Linear Algorithm With Adaptive Stopping Criteria for Robust Phase Retrieval. IEEE Transactions on Signal Processing. 72. 1081–1093. 2 indexed citations
8.
Zhang, Qi, Bing Li, & Lingzhou Xue. (2024). Nonlinear sufficient dimension reduction for distribution-on-distribution regression. Journal of Multivariate Analysis. 202. 105302–105302. 3 indexed citations
9.
Xue, Lingzhou, et al.. (2024). A latent variable mixture model for composition-on-composition regression with application to chemical recycling. The Annals of Applied Statistics. 18(4). 3253–3273. 1 indexed citations
10.
Yao, Jiawei, et al.. (2023). Power enhancement for testing multi-factor asset pricing models via Fisher’s method. Journal of Econometrics. 239(2). 105458–105458. 6 indexed citations
11.
Tao, Jun, et al.. (2023). A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution. SSRN Electronic Journal. 1 indexed citations
12.
Chen, Qian, et al.. (2021). Estimating Finite Mixtures of Ordinal Graphical Models. Psychometrika. 87(1). 83–106. 7 indexed citations
13.
Xue, Lingzhou, et al.. (2020). Compositional knockoff filter for high‐dimensional regression analysis of microbiome data. Biometrics. 77(3). 984–995. 17 indexed citations
14.
Shanmugam, Karthikeyan, et al.. (2020). Hawkesian Graphical Event Models. 569–580. 3 indexed citations
15.
Chen, Yunfeng, Lining Arnold Ju, Fangyuan Zhou, et al.. (2019). An integrin αIIbβ3 intermediate affinity state mediates biomechanical platelet aggregation. Nature Materials. 18(7). 760–769. 115 indexed citations
16.
Zhan, Xiang, Lingzhou Xue, Haotian Zheng, et al.. (2018). A small‐sample kernel association test for correlated data with application to microbiome association studies. Genetic Epidemiology. 42(8). 772–782. 24 indexed citations
17.
Lyu, Yafei, Lingzhou Xue, Feipeng Zhang, et al.. (2018). Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network. PLoS Computational Biology. 14(9). e1006436–e1006436. 17 indexed citations
18.
Fan, Jianqing, Lingzhou Xue, & Jiawei Yao. (2017). Sufficient forecasting using factor models. Journal of Econometrics. 201(2). 292–306. 42 indexed citations
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Ju, Lining Arnold, Yunfeng Chen, Lingzhou Xue, Xiaoping Du, & Cheng Zhu. (2016). Cooperative unfolding of distinctive mechanoreceptor domains transduces force into signals. eLife. 5. 66 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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