Thomas C. M. Lee

9.1k total citations · 2 hit papers
192 papers, 5.5k citations indexed

About

Thomas C. M. Lee is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas C. M. Lee has authored 192 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Statistics and Probability, 37 papers in Artificial Intelligence and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thomas C. M. Lee's work include Statistical Methods and Inference (38 papers), Advanced Statistical Methods and Models (30 papers) and Image and Signal Denoising Methods (20 papers). Thomas C. M. Lee is often cited by papers focused on Statistical Methods and Inference (38 papers), Advanced Statistical Methods and Models (30 papers) and Image and Signal Denoising Methods (20 papers). Thomas C. M. Lee collaborates with scholars based in United States, Hong Kong and Canada. Thomas C. M. Lee's co-authors include Helmut Lütkepohl, William E. Griffiths, Eric R. Ziegel, George G. Judge, Peter Hill, Jeffrey M. Lohr, Craig N. Sawchuk, David F. Tolin, Richard A. Levine and Gabriel A. Rodriguez‐Yam and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Thomas C. M. Lee

176 papers receiving 5.0k citations

Hit Papers

align trajectories

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.

Introduction to the Theory and Practice of Econometrics

1989 1.6k citations Thomas C. M. Lee et al. profile →
Journal of Computational and Graphical Statistics

2014 320 citations Thomas C. M. Lee et al. profile →

Peers

Countries citing papers authored by Thomas C. M. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Thomas C. M. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas C. M. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas C. M. Lee. A scholar is included among the top collaborators of Thomas C. M. 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 Thomas C. M. Lee. Thomas C. M. 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:

20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Improving lung cancer diagnosis and survival prediction with deep learning and CT imaging	PLoS ONE	James Sharpnack, Thomas C. M. Lee et al.	2
2	Simultaneous Detection of Structural Breaks and Outliers in Time Series	Journal of Time Series Analysis	Richard A. Davis, Thomas C. M. Lee et al.	0
3	Auto-BUQ: Uncertainty Quantification for the Boundaries of Segmented Events	The Astronomical Journal	Jue Wang, V. Kashyap et al.	0
4	An integer clustering approach for modeling large-scale EV fleets with guaranteed performance	Electric Power Systems Research	Thomas C. M. Lee, Dharik S. Mallapragada et al.	2
5	Adversarial Examples Detection With Bayesian Neural Network	IEEE Transactions on Emerging Topics in Computational Intelligence	Yao Li, Cho‐Jui Hsieh et al.	1
6	Fast block-wise partitioning for extreme multi-label classification	Data Mining and Knowledge Discovery	Cho‐Jui Hsieh, Thomas C. M. Lee et al.	1
7	Full-field Scotopic Threshold Improvement after Voretigene Neparvovec-rzyl Treatment Correlates with Chorioretinal Atrophy	Ophthalmology	Katarína Štingl, Krunoslav Stingl et al.	29
8	Identifying Diffuse Spatial Structures in High-energy Photon Lists	The Astronomical Journal	Minjie Fan, Jue Wang et al.	2
9	High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference	Journal of Computational and Graphical Statistics	Thomas C. M. Lee et al.	0
10	When might we break the rules? A statistical analysis of aesthetics in photographs	PLoS ONE	Thomas C. M. Lee et al.	1
11	Uncertainty Quantification for Sparse Estimation of Spectral Lines	IEEE Transactions on Signal Processing	Thomas C. M. Lee et al.	3
12	Uncertainty Quantification in Graphon Estimation Using Generalized Fiducial Inference	IEEE Transactions on Signal and Information Processing over Networks	Jan Hannig, Thomas C. M. Lee et al.	0
13	Statistical Consistency for Change Point Detection and Community Estimation in Time-Evolving Dynamic Networks	IEEE Transactions on Signal and Information Processing over Networks	Thomas C. M. Lee et al.	3
14	Change Point Detection and Node Clustering for Time Series of Graphs	IEEE Transactions on Signal Processing	Thomas C. M. Lee et al.	2
15	Generalized Fiducial Inference for Threshold Estimation in Dose–Response and Regression Settings	Journal of Agricultural Biological and Environmental Statistics	Thomas C. M. Lee et al.	0
16	Covariance estimation via fiducial inference	SHILAP Revista de lepidopterología	Jan Hannig, Thomas C. M. Lee et al.	2
17	Multiresolution Modeling of High‐Latitude Ionospheric Electric Field Variability and Impact on Joule Heating Using SuperDARN Data	Journal of Geophysical Research Space Physics	Tomoko Matsuo, Minjie Fan et al.	5
18	Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference	Journal of Computational and Graphical Statistics	Jan Hannig, Thomas C. M. Lee et al.	2
19	Network Estimation via Graphon With Node Features	IEEE Transactions on Network Science and Engineering	Raymond K. W. Wong, Thomas C. M. Lee et al.	5
20	Retinal angiogenesis suppression through small molecule activation of p53	Journal of Clinical Investigation	Sai H. Chavala, Younghee Kim et al.	24

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