Y. Lee

1.6k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Y. Lee is a scholar working on Statistics and Probability, Pediatrics, Perinatology and Child Health and Control and Systems Engineering. According to data from OpenAlex, Y. Lee has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 1 paper in Pediatrics, Perinatology and Child Health and 1 paper in Control and Systems Engineering. Recurrent topics in Y. Lee's work include Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (4 papers) and Statistical Distribution Estimation and Applications (3 papers). Y. Lee is often cited by papers focused on Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (4 papers) and Statistical Distribution Estimation and Applications (3 papers). Y. Lee collaborates with scholars based in South Korea, United Kingdom and China. Y. Lee's co-authors include J. A. Nelder, G. Apostolakis, Chaeyoung Lee, Zhao Jun and Hyoung‐Moon Kim and has published in prestigious journals such as Biometrika, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Y. Lee

8 papers receiving 946 citations

Hit Papers

Hierarchical Generalized Linear Models 1996 2026 2006 2016 1996 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Lee South Korea 7 630 192 175 136 109 9 1.0k
Anthony Y. C. Kuk Singapore 22 1.2k 1.9× 467 2.4× 137 0.8× 155 1.1× 73 0.7× 64 1.6k
Vicente Núñez‐Antón Spain 12 363 0.6× 71 0.4× 92 0.5× 103 0.8× 107 1.0× 54 1.1k
A. F. M. Smith United Kingdom 6 384 0.6× 267 1.4× 82 0.5× 101 0.7× 73 0.7× 10 937
Lukas Stefanski Germany 9 911 1.4× 155 0.8× 113 0.6× 194 1.4× 110 1.0× 27 1.7k
C. A. McGilchrist Australia 17 821 1.3× 210 1.1× 139 0.8× 206 1.5× 115 1.1× 86 2.0k
Thomas A. Severini United States 20 1.2k 2.0× 334 1.7× 125 0.7× 287 2.1× 197 1.8× 79 1.8k
Ravindra Khattree United States 15 356 0.6× 123 0.6× 149 0.9× 42 0.3× 91 0.8× 83 983
James P. Hobert United States 22 1.5k 2.4× 912 4.8× 196 1.1× 213 1.6× 71 0.7× 68 2.1k
Hanfeng Chen United States 15 341 0.5× 250 1.3× 67 0.4× 57 0.4× 52 0.5× 59 1.2k
Gilberto A. Paula Brazil 26 1.6k 2.6× 344 1.8× 214 1.2× 79 0.6× 383 3.5× 92 1.9k

Countries citing papers authored by Y. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Y. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Lee

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

All Works

9 of 9 papers shown
1.
Jun, Zhao, Y. Lee, & Hyoung‐Moon Kim. (2025). New and fast closed-form efficient estimators for the negative multinomial distribution. Communication in Statistics- Theory and Methods. 54(20). 6684–6699.
2.
Lee, Y. & J. A. Nelder. (2001). Hierarchical generalised linear models: A synthesis of generalised linear models, random-effect models and structured dispersions. Biometrika. 88(4). 987–1006. 219 indexed citations
3.
Lee, Y. & J. A. Nelder. (2000). Two Ways of Modelling Overdispersion in Non-Normal Data. Journal of the Royal Statistical Society Series C (Applied Statistics). 49(4). 591–598. 52 indexed citations
4.
Lee, Y. & J. A. Nelder. (2000). The Relationship Between Double-Exponential Families and Extended Quasi-Likelihood Families, with Application to Modelling Geissler’s Human Sex Ratio Data. Journal of the Royal Statistical Society Series C (Applied Statistics). 49(3). 413–419. 19 indexed citations
5.
Lee, Y. & J. A. Nelder. (1999). The robustness of the quasilikelihood estimator. Canadian Journal of Statistics. 27(2). 321–327. 8 indexed citations
6.
Lee, Y. & J. A. Nelder. (1998). Generalized linear models for the analysis of quality‐improvement experiments. Canadian Journal of Statistics. 26(1). 95–105. 78 indexed citations
7.
Lee, Chaeyoung & Y. Lee. (1998). Sire Evaluation of Count Traits with a Poisson-Gamma Hierarchical Generalized Linear Model. Asian-Australasian Journal of Animal Sciences. 11(6). 642–647. 1 indexed citations
8.
Lee, Y. & J. A. Nelder. (1996). Hierarchical Generalized Linear Models. Journal of the Royal Statistical Society Series B (Statistical Methodology). 58(4). 619–656. 621 indexed citations breakdown →
9.
Apostolakis, G. & Y. Lee. (1977). Methods for the estimation of confidence bounds for the top-event unavailability of fault trees. Nuclear Engineering and Design. 41(3). 411–419. 31 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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