Youngjo Lee

5.4k total citations
192 papers, 3.6k citations indexed

About

Youngjo Lee is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Youngjo Lee has authored 192 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Statistics and Probability, 21 papers in Artificial Intelligence and 20 papers in Management Science and Operations Research. Recurrent topics in Youngjo Lee's work include Statistical Methods and Inference (71 papers), Statistical Methods and Bayesian Inference (68 papers) and Advanced Statistical Methods and Models (29 papers). Youngjo Lee is often cited by papers focused on Statistical Methods and Inference (71 papers), Statistical Methods and Bayesian Inference (68 papers) and Advanced Statistical Methods and Models (29 papers). Youngjo Lee collaborates with scholars based in South Korea, Sweden and United Kingdom. Youngjo Lee's co-authors include J. A. Nelder, Yudi Pawitan, Il Do Ha, Maengseok Noh, Donghwan Lee, Rezzy Eko Caraka, Woojoo Lee, Toni Toharudin, Dai‐Jin Kim and Yongtae Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Youngjo Lee

181 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youngjo Lee South Korea 29 1.3k 419 390 383 383 192 3.6k
Subir Ghosh United States 14 1.3k 1.0× 344 0.8× 393 1.0× 500 1.3× 536 1.4× 79 4.9k
Diane Lambert United States 21 1.4k 1.1× 620 1.5× 434 1.1× 939 2.5× 342 0.9× 62 4.2k
Gerhard Tutz Germany 30 1.9k 1.5× 618 1.5× 148 0.4× 902 2.4× 578 1.5× 169 4.3k
Ludwig Fahrmeir Germany 34 2.3k 1.8× 890 2.1× 126 0.3× 991 2.6× 463 1.2× 124 5.2k
Silvia L. P. Ferrari Brazil 20 1.5k 1.2× 352 0.8× 158 0.4× 385 1.0× 339 0.9× 91 3.6k
Sharon L. Lohr United States 19 661 0.5× 446 1.1× 661 1.7× 249 0.7× 247 0.6× 69 3.0k
Debajyoti Sinha United States 32 1.9k 1.5× 357 0.9× 319 0.8× 811 2.1× 344 0.9× 107 4.4k
Jeffrey S. Racine United States 30 1.3k 1.0× 1.9k 4.4× 278 0.7× 490 1.3× 852 2.2× 90 4.9k
Ioannis Ntzoufras Greece 20 894 0.7× 561 1.3× 179 0.5× 530 1.4× 242 0.6× 72 2.7k
Hamparsum Bozdogan United States 16 796 0.6× 391 0.9× 271 0.7× 775 2.0× 387 1.0× 69 4.7k

Countries citing papers authored by Youngjo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Youngjo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngjo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Youngjo Lee. A scholar is included among the top collaborators of Youngjo 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 Youngjo Lee. Youngjo Lee 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.
Zeng, Youjie, et al.. (2025). Simultaneous Outlier Detection and Prediction for Kriging with True Identification. Journal of Computational and Graphical Statistics. 34(4). 1717–1728.
2.
Lee, Youngjo, et al.. (2024). Enhanced Laplace approximation. Journal of Multivariate Analysis. 202. 105321–105321. 1 indexed citations
3.
Pawitan, Yudi & Youngjo Lee. (2024). The philosophy of statistics. Significance. 21(2). 40–41.
4.
Pawitan, Yudi, et al.. (2023). Epistemic confidence in the observed confidence interval. Scandinavian Journal of Statistics. 50(4). 1859–1883. 2 indexed citations
5.
Lee, Youngjo, et al.. (2021). A Model for Determining Predictors of the MUAC in Acute Malnutrition in Ghana. International Journal of Environmental Research and Public Health. 18(7). 3792–3792. 5 indexed citations
6.
Lee, Youngjo, et al.. (2021). The Role of Commitment in the Relationship between Components of Organizational Culture and Intention to Stay. Sustainability. 13(9). 5151–5151. 6 indexed citations
7.
Das, Rabindra Nath & Youngjo Lee. (2019). Relationship of Leptin with Glucose, BMI, Age, Insulin and Breast Cancer Biomarkers. 3(1). 2 indexed citations
8.
Das, Rabindra Nath, et al.. (2019). Relationship of body mass index with diabetes and breast cancer biomarkers. Diabetes Management. 9(1). 1–6. 1 indexed citations
9.
Kim, Jin‐Seog, Rabindra Nath Das, Youngjo Lee, & Ranjan Kumar Sahoo. (2019). Association of monocyte chemoattractant protein-1 with age, glucose, BMI, insulin and other breast cancer biomarkers. 13(1). 5–9. 2 indexed citations
10.
Lee, Youngjo, et al.. (2018). The Determinants Of Mean Central Venous Pressure For Shock Patients. Journal of Clinical Trials. 6(1). 2 indexed citations
11.
Lee, Youngjo, et al.. (2017). The Basal, Peak and Maximum Heart Rate Determinants of the Cardiac Patients Who Underwent Dobutamine Stress Echocardiography. 2(2). 1–10. 1 indexed citations
12.
Lee, Donghwan & Youngjo Lee. (2016). Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model. Journal of Multivariate Analysis. 151. 1–13. 7 indexed citations
13.
Yoon, Eun Jin, Yu Kyeong Kim, Hyung‐Ik Shin, Youngjo Lee, & Sang Eun Kim. (2013). Cortical and white matter alterations in patients with neuropathic pain after spinal cord injury. Brain Research. 1540. 64–73. 90 indexed citations
14.
Lee, Woojoo, Donghwan Lee, Youngjo Lee, & Yudi Pawitan. (2011). Sparse Canonical Covariance Analysis for High-throughput Data. Statistical Applications in Genetics and Molecular Biology. 10(1). 18 indexed citations
15.
Das, Rabindra Nath & Youngjo Lee. (2008). Improving Resistivity of Urea Formaldehyde Resin Through Joint Modeling of Mean and Dispersion. Quality Engineering. 20(3). 287–295. 8 indexed citations
16.
Noh, Maengseok & Youngjo Lee. (2007). REML estimation for binary data in GLMMs. Journal of Multivariate Analysis. 98(5). 896–915. 69 indexed citations
17.
Noh, Maengseok, Youngjo Lee, & Yudi Pawitan. (2005). Robust ascertainment‐adjusted parameter estimation. Genetic Epidemiology. 29(1). 68–75. 15 indexed citations
18.
Yun, Sung‐Cheol, et al.. (2003). Analyzing weather effects on airborne particulate matter with HGLM. Environmetrics. 14(7). 687–697. 4 indexed citations
19.
Lee, Youngjo. (2001). Can we recover information from concordant pairs in binary matched pairs?. Journal of Applied Statistics. 28(2). 239–246. 6 indexed citations
20.
Koo, Ja‐Yong & Youngjo Lee. (1994). Bivariate B-splines in generalised linear models. Journal of Statistical Computation and Simulation. 50(1-2). 119–129. 5 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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