Namgil Lee

458 total citations
23 papers, 226 citations indexed

About

Namgil Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mathematics and Cognitive Neuroscience. According to data from OpenAlex, Namgil Lee has authored 23 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computational Mathematics and 5 papers in Cognitive Neuroscience. Recurrent topics in Namgil Lee's work include Advanced Neuroimaging Techniques and Applications (9 papers), Tensor decomposition and applications (5 papers) and Functional Brain Connectivity Studies (5 papers). Namgil Lee is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (9 papers), Tensor decomposition and applications (5 papers) and Functional Brain Connectivity Studies (5 papers). Namgil Lee collaborates with scholars based in South Korea, United States and Japan. Namgil Lee's co-authors include Andrzej Cichocki, Jong‐Min Kim, Tatsuya Yokota, Sung‐Ho Kim, Sun Young Hwang, Heejung Yang, Fayyaz Ahmad, Hyemi Choi, D. Mandic and Anh Huy Phan and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Signal Processing.

In The Last Decade

Namgil Lee

20 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Namgil Lee South Korea	9	84	42	35	35	33	23	226
Will Wei Sun United States	11	134 1.6×	74 1.8×	39 1.1×	95 2.7×	75 2.3×	23	292
Diwei Zhou United Kingdom	6	17 0.2×	20 0.5×	66 1.9×	63 1.8×	68 2.1×	24	315
Qing Mai United States	12	70 0.8×	49 1.2×	63 1.8×	138 3.9×	43 1.3×	30	362
Jérémy E. Cohen France	7	132 1.6×	62 1.5×	53 1.5×	22 0.6×	35 1.1×	21	232
Shuo Zhou Australia	8	79 0.9×	43 1.0×	86 2.5×	133 3.8×	25 0.8×	20	286
Yiqiao Zhong United States	7	12 0.1×	81 1.9×	24 0.7×	79 2.3×	20 0.6×	14	295
Brian Baingana United States	9	39 0.5×	42 1.0×	19 0.5×	171 4.9×	34 1.0×	17	321
Ambedkar Dukkipati India	10	40 0.5×	23 0.5×	88 2.5×	136 3.9×	42 1.3×	43	337
Yunlong He United States	4	47 0.6×	83 2.0×	77 2.2×	89 2.5×	8 0.2×	6	276
Yuning Qiu China	9	119 1.4×	84 2.0×	131 3.7×	67 1.9×	45 1.4×	26	263

Countries citing papers authored by Namgil Lee

Since Specialization

Citations

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

Fields of papers citing papers by Namgil Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Namgil Lee

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

All Works

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20 of 20 papers shown

Kim, Si‐Jin, Namgil Lee, Kwang‐Jin Cho, et al.. (2025). Discovery of natural RORγt inhibitor using machine learning, virtual screening, and in vivo validation. Journal of Advanced Research.

Yang, Heejung, et al.. (2022). Hierarchical network analysis of co-occurring bioentities in literature. Scientific Reports. 12(1). 7885–7885.

Lee, Namgil, et al.. (2021). Cluster Analysis of Medicinal Plants and Targets Based on Multipartite Network. Biomolecules. 11(4). 546–546. 10 indexed citations

Lee, Namgil & Jong‐Min Kim. (2020). Dynamic functional connectivity analysis based on time-varying partial correlation with a copula-DCC-GARCH model. Neuroscience Research. 169. 27–39. 8 indexed citations

Lee, Jae-Gil, et al.. (2020). PTEM: A popularity-based topical expertise model for community question answering. The Annals of Applied Statistics. 14(3). 2 indexed citations

Kim, Jong‐Min, et al.. (2019). Directional dependence between major cities in China based on copula regression on air pollution measurements. PLoS ONE. 14(3). e0213148–e0213148. 3 indexed citations

Lee, Namgil & Jong‐Min Kim. (2019). Dynamic functional connectivity analysis of functional MRI based on copula time-varying correlation. Journal of Neuroscience Methods. 323. 32–47. 4 indexed citations

Kim, Jong‐Min, Namgil Lee, & Sun Young Hwang. (2019). A Copula Nonlinear Granger Causality. Economic Modelling. 88. 420–430. 18 indexed citations

Lee, Namgil & Jong‐Min Kim. (2018). Block tensor train decomposition for missing data estimation. Statistical Papers. 59(4). 1283–1305. 1 indexed citations

10.

Lee, Namgil & Jong‐Min Kim. (2018). Copula directional dependence for inference and statistical analysis of whole‐brain connectivity from fMRI data. Brain and Behavior. 9(1). e01191–e01191. 5 indexed citations

11.

Cichocki, Andrzej, Namgil Lee, Ivan Oseledets, et al.. (2017). Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives. now publishers, Inc. eBooks. 16 indexed citations

12.

Lee, Namgil & Andrzej Cichocki. (2017). Fundamental tensor operations for large-scale data analysis using tensor network formats. Multidimensional Systems and Signal Processing. 29(3). 921–960. 35 indexed citations

13.

Yokota, Tatsuya, Namgil Lee, & Andrzej Cichocki. (2016). Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria. IEEE Transactions on Signal Processing. 65(5). 1196–1206. 55 indexed citations

14.

Lee, Namgil, Ah-Young Kim, Chang-Hyun Park, & Sung‐Ho Kim. (2016). An improvement on local FDR analysis applied to functional MRI data. Journal of Neuroscience Methods. 267. 115–125. 4 indexed citations

15.

Ahmad, Fayyaz, Namgil Lee, Eunwoo Kim, Sung‐Ho Kim, & HyunWook Park. (2013). A shrinkage method for causal network detection of brain regions. International Journal of Imaging Systems and Technology. 23(2). 140–146. 3 indexed citations

16.

Kim, Minho & Namgil Lee. (2012). Implementation of Electricity Power Management System for Industries based on USN. Han'gug inteo'nes bangsong tongsin.TV haghoe nonmunji. 12(4). 103–109. 4 indexed citations

17.

Ahmad, Fayyaz, Muhammad Maqbool, & Namgil Lee. (2011). Regularization of voxelwise autoregressive model for analysis of functional magnetic resonance imaging data. Concepts in Magnetic Resonance Part A. 38A(5). 187–196. 6 indexed citations

18.

Lee, Namgil, et al.. (2009). Power Control Schemes for Land Mobile Satellite Communication Systems. Journal of information and communication convergence engineering. 7(1). 78–85. 2 indexed citations

19.

Lee, Namgil & Jong‐Min Kim. (2009). Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications. Computational Statistics & Data Analysis. 54(5). 1247–1265. 16 indexed citations

20.

Koo, Imhoi, Namgil Lee, & Rhee Man Kil. (2008). Parameterized cross-validation for nonlinear regression models. Neurocomputing. 71(16-18). 3089–3095. 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.

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