Zhenhua Lin

626 total citations
27 papers, 329 citations indexed

About

Zhenhua Lin is a scholar working on Statistics and Probability, Artificial Intelligence and Geometry and Topology. According to data from OpenAlex, Zhenhua Lin has authored 27 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 5 papers in Geometry and Topology. Recurrent topics in Zhenhua Lin's work include Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (6 papers) and Morphological variations and asymmetry (5 papers). Zhenhua Lin is often cited by papers focused on Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (6 papers) and Morphological variations and asymmetry (5 papers). Zhenhua Lin collaborates with scholars based in Singapore, United States and Canada. Zhenhua Lin's co-authors include Jiguo Cao, Hans‐Georg Müller, Liangliang Wang, Wenyuan Li, Haonan Wang, Han Fang, Jane-Ling Wang, Fang Yao, Tianyu Guan and E. Vaahedi and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and IEEE Transactions on Power Systems.

In The Last Decade

Zhenhua Lin

26 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenhua Lin Singapore 11 168 100 28 24 24 27 329
Yves Romain France 6 259 1.5× 97 1.0× 45 1.6× 18 0.8× 29 1.2× 16 393
P. Hall Australia 9 168 1.0× 76 0.8× 18 0.6× 33 1.4× 25 1.0× 17 322
Jacques Dauxois France 8 273 1.6× 97 1.0× 53 1.9× 19 0.8× 34 1.4× 14 423
Takashi Takenouchi Japan 9 106 0.6× 174 1.7× 11 0.4× 26 1.1× 13 0.5× 38 352
Stanislav Minsker United States 8 139 0.8× 111 1.1× 11 0.4× 10 0.4× 15 0.6× 21 276
Ashwin Pananjady United States 8 58 0.3× 99 1.0× 31 1.1× 14 0.6× 29 1.2× 28 256
Peter Radchenko United States 11 295 1.8× 131 1.3× 15 0.5× 40 1.7× 67 2.8× 16 484
Yannick Baraud France 10 322 1.9× 128 1.3× 26 0.9× 16 0.7× 49 2.0× 20 408
Yiqiao Zhong United States 7 98 0.6× 79 0.8× 12 0.4× 15 0.6× 9 0.4× 14 295

Countries citing papers authored by Zhenhua Lin

Since Specialization
Citations

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

Fields of papers citing papers by Zhenhua Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenhua Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenhua Lin. A scholar is included among the top collaborators of Zhenhua 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 Zhenhua Lin. Zhenhua Lin 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.
Hu, Xiao & Zhenhua Lin. (2025). Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift. Proceedings of the AAAI Conference on Artificial Intelligence. 39(16). 17351–17358. 2 indexed citations
2.
Lin, Zhenhua, et al.. (2025). Hypothesis testing for functional linear models via bootstrapping. Bernoulli. 31(4). 1 indexed citations
3.
Guan, Tianyu, et al.. (2025). Penalized functional regression using R package PFLR. Journal of Applied Statistics. 52(11). 2191–2205.
4.
5.
Lin, Zhenhua, et al.. (2023). Causal inference on distribution functions. Journal of the Royal Statistical Society Series B (Statistical Methodology). 85(2). 378–398. 3 indexed citations
6.
7.
Lin, Zhenhua & Han Fang. (2022). On boosting the power of Chatterjee’s rank correlation. Biometrika. 110(2). 283–299. 22 indexed citations
8.
Lin, Zhenhua, et al.. (2021). High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data. Journal of the American Statistical Association. 118(541). 177–191. 6 indexed citations
9.
Lin, Zhenhua & Hans‐Georg Müller. (2021). Total variation regularized Fréchet regression for metric-space valued data. The Annals of Statistics. 49(6). 9 indexed citations
10.
Lin, Zhenhua, et al.. (2021). Wasserstein Regression. Journal of the American Statistical Association. 118(542). 869–882. 33 indexed citations
11.
Lin, Zhenhua & Jane-Ling Wang. (2020). Mean and Covariance Estimation for Functional Snippets. Figshare. 21 indexed citations
12.
Lin, Zhenhua & Fang Yao. (2020). Functional regression on the manifold with contamination. Biometrika. 108(1). 167–181. 9 indexed citations
13.
Lin, Zhenhua & Hongtu Zhu. (2019). MFPCA: Multiscale Functional Principal Component Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4320–4327. 1 indexed citations
14.
15.
Lin, Zhenhua, Hans‐Georg Müller, & Fang Yao. (2018). Mixture inner product spaces and their application to functional data analysis. The Annals of Statistics. 46(1). 9 indexed citations
16.
Lin, Zhenhua, Jiguo Cao, Liangliang Wang, & Haonan Wang. (2016). Locally Sparse Estimator for Functional Linear Regression Models. Journal of Computational and Graphical Statistics. 26(2). 306–318. 44 indexed citations
17.
Lin, Zhenhua, Liangliang Wang, & Jiguo Cao. (2015). Interpretable Functional Principal Component Analysis. Biometrics. 72(3). 846–854. 28 indexed citations
18.
Lin, Zhenhua. (2013). Some perspectives of smooth and locally sparse estimators. Summit (Simon Fraser University). 3(10). 2–2. 1 indexed citations
19.
Li, Wenyuan, E. Vaahedi, & Zhenhua Lin. (2013). BC Hydro's Transmission Reliability Margin Assessment in Total Transfer Capability Calculations. IEEE Transactions on Power Systems. 28(4). 4796–4802. 13 indexed citations
20.
Lin, Zhenhua, Bin Jiang, Jian Pei, & Daxin Jiang. (2010). Mining discriminative items in multiple data streams. World Wide Web. 13(4). 497–522. 8 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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