Taeryon Choi

1.1k total citations
52 papers, 664 citations indexed

About

Taeryon Choi is a scholar working on Statistics and Probability, Artificial Intelligence and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Taeryon Choi has authored 52 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics and Probability, 32 papers in Artificial Intelligence and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Taeryon Choi's work include Statistical Methods and Inference (30 papers), Bayesian Methods and Mixture Models (23 papers) and Statistical Methods and Bayesian Inference (21 papers). Taeryon Choi is often cited by papers focused on Statistical Methods and Inference (30 papers), Bayesian Methods and Mixture Models (23 papers) and Statistical Methods and Bayesian Inference (21 papers). Taeryon Choi collaborates with scholars based in South Korea, United States and Japan. Taeryon Choi's co-authors include Jian Qing Shi, Mark J. Schervish, Engin A. Sungur, Jong‐Min Kim, Jingjing Yang, Grace Y. Yi, Bo Wang, Hongxiao Zhu, Peter Lenk and Yoonsung Jung and has published in prestigious journals such as Biometrics, Statistics in Medicine and Journal of Statistical Software.

In The Last Decade

Taeryon Choi

41 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taeryon Choi South Korea 11 274 268 78 72 63 52 664
Connor J. Dalzell Canada 4 125 0.5× 290 1.1× 42 0.5× 68 0.9× 28 0.4× 5 629
Germán Aneiros Spain 20 328 1.2× 795 3.0× 190 2.4× 164 2.3× 63 1.0× 49 1.2k
Matthew A. Taddy United States 9 193 0.7× 106 0.4× 45 0.6× 21 0.3× 50 0.8× 12 399
Milan Stehlík Austria 17 160 0.6× 243 0.9× 204 2.6× 42 0.6× 142 2.3× 101 821
Célestin C. Kokonendji France 17 440 1.6× 672 2.5× 61 0.8× 106 1.5× 85 1.3× 86 1.0k
Max G’Sell United States 8 214 0.8× 200 0.7× 35 0.4× 35 0.5× 37 0.6× 13 570
Pedro Galeano Spain 15 218 0.8× 354 1.3× 63 0.8× 49 0.7× 134 2.1× 40 843
Sudhir Gupta United States 9 72 0.3× 412 1.5× 216 2.8× 47 0.7× 81 1.3× 40 706
Randall Brooks United Kingdom 12 95 0.3× 280 1.0× 115 1.5× 78 1.1× 92 1.5× 31 782
Chi-Lun Cheng Taiwan 9 72 0.3× 331 1.2× 51 0.7× 57 0.8× 71 1.1× 20 596

Countries citing papers authored by Taeryon Choi

Since Specialization
Citations

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

Fields of papers citing papers by Taeryon Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taeryon Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Taeryon Choi. A scholar is included among the top collaborators of Taeryon Choi 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 Taeryon Choi. Taeryon Choi 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.
Lenk, Peter, et al.. (2024). Hierarchical Bayesian spectral regression with shape constraints for multi-group data. Computational Statistics & Data Analysis. 200. 108036–108036.
2.
Choi, Taeryon, et al.. (2023). Bayesian sparse seemingly unrelated regressions model with variable selection and covariance estimation via the horseshoe+. Journal of the Korean Statistical Society. 52(3). 676–714.
3.
Choi, Taeryon, et al.. (2022). Non-Parametric Bayesian Covariate-Dependent Multivariate Functional Clustering: An Application to Time-Series Data for Multiple Air Pollutants. Journal of the Royal Statistical Society Series C (Applied Statistics). 71(5). 1521–1542. 1 indexed citations
4.
Nott, David J., et al.. (2020). Sparse signal shrinkage and outlier detection in high-dimensional quantile regression with variational Bayes. Statistics and Its Interface. 13(2). 237–249. 9 indexed citations
5.
Choi, Taeryon, et al.. (2019). Bayesian analysis of semiparametric Bernstein polynomial regression models for data with sample selection. Statistics. 53(5). 1082–1111. 3 indexed citations
6.
Kim, Gwangsu & Taeryon Choi. (2018). Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models. Journal of Multivariate Analysis. 171. 68–82. 1 indexed citations
7.
Choi, Taeryon & Mark J. Schervish. (2018). Posterior Consistency in Nonparametric Regression Problems under Gaussian Process Priors. Figshare. 5 indexed citations
8.
9.
Kim, Gwangsu, Yongdai Kim, & Taeryon Choi. (2017). Bayesian Analysis of the Proportional Hazards Model with Time‐Varying Coefficients. Scandinavian Journal of Statistics. 44(2). 524–544. 7 indexed citations
10.
Lian, Heng, et al.. (2016). Posterior convergence for Bayesian functional linear regression. Journal of Multivariate Analysis. 150. 27–41. 3 indexed citations
11.
Choi, Taeryon, et al.. (2015). Performance comparison of random number generators based on Adaptive Rejection Sampling. Journal of the Korean Data and Information Science Society. 26(3). 593–610. 1 indexed citations
12.
Choi, Taeryon & Judith Rousseau. (2015). A note on Bayes factor consistency in partial linear models. Journal of Statistical Planning and Inference. 166. 158–170. 3 indexed citations
13.
Choi, Taeryon, et al.. (2013). Bayesian Analysis of Dose-Effect Relationship of Cadmium for Benchmark Dose Evaluation. Korean Journal of Applied Statistics. 26(3). 453–470. 1 indexed citations
14.
Choi, Taeryon, et al.. (2013). On asymptotic properties of Bayesian partially linear models. Journal of the Korean Statistical Society. 42(4). 529–541. 2 indexed citations
15.
Choi, Taeryon, et al.. (2012). Empirical Study on Bayesian Model Selection of Stochastic Volatility Models Using Deviance Information Criterion. The Korean Data Analysis Society. 14(4). 1871–1888. 1 indexed citations
16.
Yi, Grace Y., Jian Qing Shi, & Taeryon Choi. (2011). Penalized Gaussian Process Regression and Classification for High-Dimensional Nonlinear Data. Biometrics. 67(4). 1285–1294. 27 indexed citations
17.
Choi, Taeryon. (2010). Estimating a Benchmark Dose in Dose Response Studies via Bayesian Hierarchical Methods. The Korean Data Analysis Society. 12(1). 119–133. 1 indexed citations
18.
Choi, Taeryon, Jaeyong Lee, & Anindya Roy. (2008). A note on the Bayes factor in a semiparametric regression model. Journal of Multivariate Analysis. 100(6). 1316–1327. 15 indexed citations
19.
Choi, Taeryon & Mark J. Schervish. (2007). On posterior consistency in nonparametric regression problems. Journal of Multivariate Analysis. 98(10). 1969–1987. 68 indexed citations
20.
Johnston, R.H., et al.. (2004). A compact ultra wide impedance bandwidth antenna. 1863–1866 Vol.2. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Connor J. Dalzell Breakdown of academic impact, for papers by Germán Aneiros Breakdown of academic impact, for papers by Matthew A. Taddy Breakdown of academic impact, for papers by Milan Stehlík Breakdown of academic impact, for papers by Célestin C. Kokonendji Breakdown of academic impact, for papers by Max G’Sell Breakdown of academic impact, for papers by Pedro Galeano Breakdown of academic impact, for papers by Sudhir Gupta Breakdown of academic impact, for papers by Randall Brooks Breakdown of academic impact, for papers by Chi-Lun Cheng
Rankless by CCL
2026