Yihui Zhan

572 total citations
5 papers, 459 citations indexed

About

Yihui Zhan is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Yihui Zhan has authored 5 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 1 paper in Molecular Biology and 1 paper in Artificial Intelligence. Recurrent topics in Yihui Zhan's work include Statistical Methods and Inference (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Single-cell and spatial transcriptomics (1 paper). Yihui Zhan is often cited by papers focused on Statistical Methods and Inference (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Single-cell and spatial transcriptomics (1 paper). Yihui Zhan collaborates with scholars based in United States. Yihui Zhan's co-authors include Jon A. Wellner, Yudong D. He, S. Stepaniants, Hongyue Dai, Douglas E. Bassett and Douglas B. Clarkson and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Journal of Computational and Graphical Statistics.

In The Last Decade

Yihui Zhan

5 papers receiving 438 citations

Peers

Yihui Zhan
Bin Nan United States
Luping Zhao United States
Kelly Y. Kim United States
Serena G. Liao United States
Yihui Zhan
Citations per year, relative to Yihui Zhan Yihui Zhan (= 1×) peers Hege Bøvelstad

Countries citing papers authored by Yihui Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Yihui Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihui Zhan

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

All Works

5 of 5 papers shown
1.
Dai, Hongyue, et al.. (2006). Rosetta error model for gene expression analysis. Bioinformatics. 22(9). 1111–1121. 256 indexed citations
2.
Clarkson, Douglas B. & Yihui Zhan. (2002). Using Spherical–Radial Quadrature to Fit Generalized Linear Mixed Effects Models. Journal of Computational and Graphical Statistics. 11(3). 639–659. 19 indexed citations
3.
Zhan, Yihui, et al.. (2002). CENTRAL LIMIT THEOREMS FOR FUNCTIONAL Z-ESTIMATORS. 1 indexed citations
4.
Wellner, Jon A. & Yihui Zhan. (1997). A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator from Censored Data. Journal of the American Statistical Association. 92(439). 945–959. 158 indexed citations
5.
Wellner, Jon A. & Yihui Zhan. (1997). A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator From Censored Data. Journal of the American Statistical Association. 92(439). 945–945. 25 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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