Taehun Lee

1.2k citations
7 papers · 752 indexed · 2 hit papers · h-index 4
Topics
Psychosomatic Disorders and Their Treatments (2 papers)Personality Disorders and Psychopathology (2 papers)Statistical Methods and Bayesian Inference (1 paper)

In The Last Decade

Taehun Lee

4 papers receiving 732 citations

Hit Papers

Understanding the Model Size Effect on SEM Fit Indices201820262020202320182021100200300400500

Peers

Taehun Lee
Comparison fields: 5 of 138
  • Clinical Psychology 212
  • Social Psychology 166
  • Education 105
  • Experimental and Cognitive Psychology 102
  • Sociology and Political Science 100
Replace Amery D. Wu with:
Amery D. Wu Canada
Keke Lai United States
Cornelia Zeisser Canada
Phill Gagné United States
Ítalo Trizano-Hermosilla Chile
Javier Suárez‐Álvarez Spain
Michele F. Zimowski United States
David Goretzko Germany
Guy Moors Netherlands
Terrence D. Jorgensen Netherlands
Taehun Lee relative to Amery D. Wu Canada Amery D. Wu's profile →
Citations per field
00.5×1.5×1.9×
Amery D. Wu · 1×
Citations per year

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

7 of 7 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4
A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.breakdown →
170
5 51
6 4
7
Understanding the Model Size Effect on SEM Fit Indicesbreakdown →
527

About Taehun Lee

Taehun Lee is a scholar working on General Social Sciences, Statistics and Probability and Experimental and Cognitive Psychology, having authored 7 papers that have together received 752 indexed citations. Recurring topics across this work include Psychosomatic Disorders and Their Treatments (2 papers), Personality Disorders and Psychopathology (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Applied Psychology (59 citations), Clinical Psychology (212 citations) and Neuropsychology and Physiological Psychology (13 citations). Taehun Lee has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Dexin Shi, Alberto Maydeu‐Olivares, Amanda J. Fairchild, Ren Liu and Soohyung Joo. Their work appears in journals such as Psychological Methods, Educational and Psychological Measurement and Structural Equation Modeling A Multidisciplinary Journal.

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

Rankless by CCL
2026