Lizhen Lin

1.4k total citations
72 papers, 696 citations indexed

About

Lizhen Lin is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Lizhen Lin has authored 72 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 25 papers in Artificial Intelligence and 10 papers in Molecular Biology. Recurrent topics in Lizhen Lin's work include Statistical Methods and Inference (16 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Bayesian Inference (13 papers). Lizhen Lin is often cited by papers focused on Statistical Methods and Inference (16 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Bayesian Inference (13 papers). Lizhen Lin collaborates with scholars based in United States, China and South Korea. Lizhen Lin's co-authors include David B. Dunson, Rabi Bhattacharya, Sanvesh Srivastava, Stanislav Minsker, Walter W. Piegorsch, B.S. Thomas, Hongtu Zhu, Hui Xiong, Hongxia Ge and Hui Xu and has published in prestigious journals such as Neuron, Journal of the American Statistical Association and Scientific Reports.

In The Last Decade

Lizhen Lin

64 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lizhen Lin United States	16	165	159	84	69	53	72	696
Weimin Huang China	14	158 1.0×	282 1.8×	89 1.1×	65 0.9×	2 0.0×	56	1.2k
Daniel M. Keenan United States	32	61 0.4×	121 0.8×	370 4.4×	79 1.1×	5 0.1×	96	2.9k
Kenneth Rosen United States	19	213 1.3×	8 0.1×	103 1.2×	12 0.2×	31 0.6×	56	1.4k
Jonathan Taylor United States	9	68 0.4×	152 1.0×	46 0.5×	177 2.6×	1 0.0×	13	688
Lori A. Dalton United States	13	239 1.4×	109 0.7×	256 3.0×	31 0.4×		47	676
Alyson J. Fox United Kingdom	19	105 0.6×	209 1.3×	344 4.1×	23 0.3×	5 0.1×	26	2.2k
Takeshi Yamakawa Japan	25	384 2.3×	39 0.2×	234 2.8×	61 0.9×	5 0.1×	154	1.9k
Valeria Vitelli Norway	16	253 1.5×	83 0.5×	65 0.8×	14 0.2×		46	901
Florentina Bunea United States	13	136 0.8×	218 1.4×	85 1.0×	38 0.6×		50	645
Huiming Zhang China	14	99 0.6×	163 1.0×	29 0.3×	53 0.8×	7 0.1×	45	656

Countries citing papers authored by Lizhen Lin

Since Specialization

Citations

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

Fields of papers citing papers by Lizhen Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lizhen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Lizhen Lin. A scholar is included among the top collaborators of Lizhen Lin 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 Lizhen Lin. Lizhen Lin 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

Gupta, Vijay, et al.. (2024). Intrinsic and extrinsic deep learning on manifolds. Electronic Journal of Statistics. 18(1). 2 indexed citations

Shen, Luyi, et al.. (2024). Bayesian Community Detection for Networks with Covariates. Bayesian Analysis. 20(3).

Winter, Steven L., Trevor Campbell, Lizhen Lin, Sanvesh Srivastava, & David B. Dunson. (2024). Emerging Directions in Bayesian Computation. Statistical Science. 39(1). 2 indexed citations

Ge, Hongxia, Lizhen Lin, & Rongjun Cheng. (2023). Modeling and stabilization control for heterogeneous traffic flow model considering cyberattacks. Physica A Statistical Mechanics and its Applications. 622. 128799–128799. 12 indexed citations

Lin, Lizhen, et al.. (2023). A Bayesian Sparse Factor Model with Adaptive Posterior Concentration. Bayesian Analysis. 19(4). 2 indexed citations

Lin, Lizhen, et al.. (2023). Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks. Bayesian Analysis. 19(1). 14 indexed citations

Niu, Mu, et al.. (2023). Extrinsic Bayesian Optimization on Manifolds. Algorithms. 16(2). 117–117.

Lin, Lizhen, et al.. (2023). Bayesian Nonparametric Latent Class Analysis for Different Item Types. Multivariate Behavioral Research. 58(1). 156–157. 2 indexed citations

You, Kisung, et al.. (2022). Network Distance based on Laplacian Flows on Graphs. 2022 IEEE International Conference on Big Data (Big Data). 715–720.

10.

Lin, Lizhen, et al.. (2022). Increased Stiffness of the Superficial Cervical Extensor Muscles in Patients With Cervicogenic Headache: A Study Using Shear Wave Elastography. Frontiers in Neurology. 13. 874643–874643. 5 indexed citations

11.

Thomas, B.S., Kisung You, Lizhen Lin, Lek‐Heng Lim, & Sayan Mukherjee. (2021). Learning Subspaces of Different Dimensions. Journal of Computational and Graphical Statistics. 31(2). 337–350.

12.

Lin, Lizhen, et al.. (2020). Bayesian high-dimensional semi-parametric inference beyond sub-Gaussian errors. Journal of the Korean Statistical Society. 50(2). 511–527. 1 indexed citations

13.

Borg, Jana Schaich, Sanvesh Srivastava, Lizhen Lin, et al.. (2017). Rat intersubjective decisions are encoded by frequency‐specific oscillatory contexts. Brain and Behavior. 7(6). e00710–e00710. 12 indexed citations

14.

Minsker, Stanislav, Sanvesh Srivastava, Lizhen Lin, & David B. Dunson. (2017). Robust and Scalable Bayes via a Median of Subset Posterior Measures. arXiv (Cornell University). 18(124). 1–40. 36 indexed citations

15.

Hultman, Rainbo, Stephen D. Mague, Qiang Li, et al.. (2016). Dysregulation of Prefrontal Cortex-Mediated Slow-Evolving Limbic Dynamics Drives Stress-Induced Emotional Pathology. Neuron. 91(2). 439–452. 98 indexed citations

16.

Lin, Lizhen, et al.. (2016). Scale and curvature effects in principal geodesic analysis. Journal of Multivariate Analysis. 153. 64–82. 6 indexed citations

17.

Rao, Vinayak, Lizhen Lin, & David B. Dunson. (2016). Data augmentation for models based on rejection sampling. Biometrika. 103(2). 319–335. 7 indexed citations

18.

Minsker, Stanislav, Sanvesh Srivastava, Lizhen Lin, & David B. Dunson. (2014). Scalable and Robust Bayesian Inference via the Median Posterior. International Conference on Machine Learning. 1656–1664. 40 indexed citations

19.

Bhattacharya, Rabi & Lizhen Lin. (2013). Recent progress in the nonparametric estimation of monotone curves—With applications to bioassay and environmental risk assessment. Computational Statistics & Data Analysis. 63. 63–80. 2 indexed citations

20.

Bhattacharya, Rabi & Lizhen Lin. (2010). An adaptive nonparametric method in benchmark analysis for bioassay and environmental studies. Statistics & Probability Letters. 80(23-24). 1947–1953. 14 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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