Minjung Kyung

648 total citations
14 papers, 391 citations indexed

About

Minjung Kyung is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Minjung Kyung has authored 14 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Minjung Kyung's work include Bayesian Methods and Mixture Models (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Statistical Methods and Inference (4 papers). Minjung Kyung is often cited by papers focused on Bayesian Methods and Mixture Models (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Statistical Methods and Inference (4 papers). Minjung Kyung collaborates with scholars based in South Korea, Canada and United States. Minjung Kyung's co-authors include Jeff Gill, Malay Ghosh, George Casella, George Casella, Ju‐Hyun Park, Jeff Gill, Heungsun Hwang, Jungup Lee, Jae-Hee Kim and Minah Kim and has published in prestigious journals such as Psychometrika, Journal of the Royal Statistical Society Series C (Applied Statistics) and Multivariate Behavioral Research.

In The Last Decade

Minjung Kyung

12 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minjung Kyung South Korea	5	186	112	66	49	28	14	391
Jesse Windle United States	4	259 1.4×	253 2.3×	64 1.0×	38 0.8×	55 2.0×	6	566
Abhik Ghosh India	13	288 1.5×	48 0.4×	41 0.6×	42 0.9×	31 1.1×	59	547
Jaeyong Lee South Korea	14	353 1.9×	242 2.2×	69 1.0×	29 0.6×	33 1.2×	66	662
Huazhen Lin China	12	320 1.7×	105 0.9×	81 1.2×	26 0.5×	39 1.4×	60	540
Peng Zeng United States	11	205 1.1×	65 0.6×	69 1.0×	70 1.4×	41 1.5×	41	475
Carlos Daniel Paulino Portugal	11	174 0.9×	95 0.8×	29 0.4×	25 0.5×	23 0.8×	31	360
Artin Armagan United States	6	202 1.1×	113 1.0×	54 0.8×	30 0.6×	20 0.7×	9	322
Adam Rothman United States	9	322 1.7×	145 1.3×	86 1.3×	44 0.9×	63 2.3×	26	657
Hirokazu Yanagihara Japan	17	500 2.7×	149 1.3×	37 0.6×	17 0.3×	48 1.7×	91	804

Countries citing papers authored by Minjung Kyung

Since Specialization

Citations

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

Fields of papers citing papers by Minjung Kyung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minjung Kyung

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

All Works

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14 of 14 papers shown

Kyung, Minjung, et al.. (2025). Mediation Analysis in Bayesian Extended Redundancy Analysis with Mixed Outcome Variables. Psychometrika. 90(1). 251–279. 1 indexed citations

Lee, Keunbaik, et al.. (2024). Clustering of temporal profiles in US climate change data using logistic mixture of spatial multivariate linear models. Stochastic Environmental Research and Risk Assessment. 38(9). 3719–3733. 2 indexed citations

Kyung, Minjung, et al.. (2021). Bayesian Mixture Model of Extended Redundancy Analysis. Psychometrika. 87(3). 946–966. 2 indexed citations

Park, Ju‐Hyun, et al.. (2021). Bayesian Approach to Multivariate Component-Based Logistic Regression: Analyzing Correlated Multivariate Ordinal Data. Multivariate Behavioral Research. 57(4). 543–560. 4 indexed citations

Kyung, Minjung. (2021). Bayesian analysis of quantile principal component regression model. Journal of the Korean Data and Information Science Society. 32(4). 739–755. 1 indexed citations

Kyung, Minjung, et al.. (2019). Bayesian Extended Redundancy Analysis: A Bayesian Approach to Component-based Regression with Dimension Reduction. Multivariate Behavioral Research. 55(1). 30–48. 6 indexed citations

Park, Ju‐Hyun & Minjung Kyung. (2018). Bayesian curve fitting and clustering with Dirichlet process mixture models for microarray data. Journal of the Korean Statistical Society. 48(2). 207–220. 2 indexed citations

Kim, Minah & Minjung Kyung. (2017). Maximum likelihood estimation of Logistic random effects model. 30(6). 957–981. 1 indexed citations

Kim, Jae-Hee & Minjung Kyung. (2016). Bayesian Fourier clustering of gene expression data. Communications in Statistics - Simulation and Computation. 46(8). 6475–6494. 1 indexed citations

10.

Kyung, Minjung. (2015). Dirichlet Process Mixtures of Linear Mixed Regressions. Communications for Statistical Applications and Methods. 22(6). 625–637. 2 indexed citations

11.

Kyung, Minjung, Jeff Gill, & George Casella. (2011). New findings from terrorism data: Dirichlet process random-effects models for latent groups. Journal of the Royal Statistical Society Series C (Applied Statistics). 60(5). 701–721.

12.

Kyung, Minjung, Jeff Gill, & George Casella. (2011). New Findings from Terrorism Data: Dirichlet Process Random-Effects Models for Latent Groups. Journal of the Royal Statistical Society Series C (Applied Statistics). 60(5). 701–721. 13 indexed citations

13.

Kyung, Minjung, Jeff Gill, & George Casella. (2011). Sampling schemes for generalized linear Dirichlet process random effects models. Statistical Methods & Applications. 20(3). 259–290. 5 indexed citations

14.

Casella, George, Malay Ghosh, Jeff Gill, & Minjung Kyung. (2010). Penalized regression, standard errors, and Bayesian lassos. Bayesian Analysis. 5(2). 351 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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