Taehun Lee

1.2k total citations · 2 hit papers
7 papers, 752 citations indexed

About

Taehun Lee is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Taehun Lee has authored 7 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Clinical Psychology, 2 papers in Experimental and Cognitive Psychology and 2 papers in Psychiatry and Mental health. Recurrent topics in Taehun Lee's work include Psychosomatic Disorders and Their Treatments (2 papers), Personality Disorders and Psychopathology (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Taehun Lee is often cited by papers focused on Psychosomatic Disorders and Their Treatments (2 papers), Personality Disorders and Psychopathology (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Taehun Lee collaborates with scholars based in United States, South Korea and Spain. Taehun Lee's co-authors include Dexin Shi, Alberto Maydeu‐Olivares, Amanda J. Fairchild, Ren Liu and Soohyung Joo and has published in prestigious journals such as Psychological Methods, Educational and Psychological Measurement and Structural Equation Modeling A Multidisciplinary Journal.

In The Last Decade

Taehun Lee

4 papers receiving 732 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Understanding the Model Size Effect on SEM Fit Indices

2018 527 citations Dexin Shi, Taehun Lee et al. Educational and Psychological Measurement profile →
A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.

2021 170 citations Taehun Lee, Dexin Shi Psychological Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taehun Lee United States	4	212	166	105	102	100	7	752
Amery D. Wu Canada	15	241 1.1×	232 1.4×	173 1.6×	115 1.1×	199 2.0×	37	1.1k
Keke Lai United States	12	167 0.8×	170 1.0×	82 0.8×	105 1.0×	122 1.2×	25	812
Cornelia Zeisser Canada	7	302 1.4×	209 1.3×	138 1.3×	125 1.2×	114 1.1×	10	1.0k
Phill Gagné United States	10	135 0.6×	153 0.9×	113 1.1×	103 1.0×	115 1.1×	20	775
Ítalo Trizano-Hermosilla Chile	8	236 1.1×	218 1.3×	195 1.9×	92 0.9×	103 1.0×	18	767
Sally Sadoff United States	15	286 1.3×	161 1.0×	258 2.5×	95 0.9×	183 1.8×	31	1.2k
Wen‐Juo Lo United States	16	125 0.6×	96 0.6×	163 1.6×	95 0.9×	179 1.8×	64	956
Simon Grund Germany	16	123 0.6×	133 0.8×	127 1.2×	162 1.6×	93 0.9×	31	814
David Goretzko Germany	10	100 0.5×	113 0.7×	60 0.6×	84 0.8×	99 1.0×	27	692
Chih-Chien Yang Taiwan	7	160 0.8×	134 0.8×	106 1.0×	92 0.9×	94 0.9×	19	679

Countries citing papers authored by Taehun Lee

Since Specialization

Citations

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

Fields of papers citing papers by Taehun Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taehun Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Lee, Taehun, et al.. (2025). Research Trends and Challenges in Diagnostic Classification Models: Insights from Dynamic Topic Modeling. Measurement Interdisciplinary Research and Perspectives. 1–32.

2.

Fairchild, Amanda J., et al.. (2025). Estimating the Root Mean Square Error of Approximation (RMSEA) with Multiply Imputed Data Under Non-Normality. Structural Equation Modeling A Multidisciplinary Journal. 32(5). 832–857.

3.

Lee, Taehun & Dexin Shi. (2021). A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.. Psychological Methods. 26(4). 466–485. 170 indexed citations breakdown →

4.

Lee, Taehun, et al.. (2021). Meta-Analysis of Correlations among the Subfactors of the 20-Item Toronto Alexithymia Scale. Korean Journal of Stress Research. 29(3). 187–198.

5.

Shi, Dexin, Taehun Lee, Amanda J. Fairchild, & Alberto Maydeu‐Olivares. (2019). Fitting Ordinal Factor Analysis Models With Missing Data: A Comparison Between Pairwise Deletion and Multiple Imputation. Educational and Psychological Measurement. 80(1). 41–66. 51 indexed citations

6.

Lee, Taehun, et al.. (2019). A Study of Factor Structure of the Korean Version of the 20-Item Toronto Alexithymia Scale. Korean Journal of Stress Research. 27(4). 380–388. 4 indexed citations

7.

Shi, Dexin, Taehun Lee, & Alberto Maydeu‐Olivares. (2018). Understanding the Model Size Effect on SEM Fit Indices. Educational and Psychological Measurement. 79(2). 310–334. 527 indexed citations breakdown →

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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