Noah Lee

1.9k total citations · 1 hit paper
29 papers, 1.0k citations indexed

About

Noah Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Noah Lee has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Noah Lee's work include Medical Image Segmentation Techniques (7 papers), Retinal Imaging and Analysis (7 papers) and Image Retrieval and Classification Techniques (5 papers). Noah Lee is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Retinal Imaging and Analysis (7 papers) and Image Retrieval and Classification Techniques (5 papers). Noah Lee collaborates with scholars based in United States, Germany and Canada. Noah Lee's co-authors include Andrew F. Laine, R. Theodore Smith, Jie Tian, Jian Zheng, Arno Klein, Jian Chen, Yrjö Häme, Forrest Sheng Bao, Martin Reuter and Elias Chaibub Neto and has published in prestigious journals such as Nature Neuroscience, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Noah Lee

27 papers receiving 1.0k citations

Hit Papers

Mindboggling morphometry of human brains 2017 2026 2020 2023 2017 100 200 300
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.

  1. Mindboggling morphometry of human brains
    2017 378 citations Arno Klein, Satrajit Ghosh et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noah Lee United States 15 333 308 284 159 153 29 1.0k
Sunanda Mitra United States 18 175 0.5× 244 0.8× 306 1.1× 221 1.4× 70 0.5× 118 1.1k
Emad Fatemizadeh Iran 18 308 0.9× 124 0.4× 498 1.8× 164 1.0× 26 0.2× 120 1.1k
Claudio M. Privitera United States 15 154 0.5× 450 1.5× 528 1.9× 41 0.3× 169 1.1× 45 1.2k
Cemil Kirbas United States 10 536 1.6× 79 0.3× 659 2.3× 156 1.0× 148 1.0× 17 1.1k
Yingying Zhu China 18 217 0.7× 94 0.3× 224 0.8× 238 1.5× 24 0.2× 64 826
Lucia Ballerini United Kingdom 22 683 2.1× 105 0.3× 348 1.2× 166 1.0× 394 2.6× 93 2.1k
Michael Merickel United States 17 231 0.7× 162 0.5× 126 0.4× 82 0.5× 39 0.3× 52 804
J. E. W. Mayhew United Kingdom 19 181 0.5× 873 2.8× 351 1.2× 37 0.2× 80 0.5× 60 1.3k
Jung W. Suh United States 10 316 0.9× 166 0.5× 483 1.7× 95 0.6× 14 0.1× 21 968
Burak Taşçı Türkiye 16 127 0.4× 191 0.6× 126 0.4× 171 1.1× 31 0.2× 48 713

Countries citing papers authored by Noah Lee

Since Specialization
Citations

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

Fields of papers citing papers by Noah Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noah Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Noah Lee. A scholar is included among the top collaborators of Noah 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 Noah Lee. Noah 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.
Lee, Noah, Martin Löffler, Md Nasir Uddin, et al.. (2024). A multisite validation of brain white matter pathways of resilience to chronic back pain. eLife. 13.
2.
Mendoza-Halliday, Diego, Noah Lee, Jacob A. Westerberg, et al.. (2024). A ubiquitous spectrolaminar motif of local field potential power across the primate cortex. Nature Neuroscience. 27(3). 547–560. 36 indexed citations
3.
Hong, Jiwoo, Noah Lee, & James H. Thorne. (2024). ORPO: Monolithic Preference Optimization without Reference Model. 11170–11189. 19 indexed citations
4.
Lee, Noah, Martin Löffler, Md Nasir Uddin, et al.. (2024). A multisite validation of brain white matter pathways of resilience to chronic back pain. eLife. 13.
5.
Lee, Noah, et al.. (2023). Can Large Language Models Capture Dissenting Human Voices?. 4569–4585. 4 indexed citations
6.
Both, Ulrich von, Elisabeth Nowak, Noah Lee, et al.. (2022). SARS-CoV-2 Saliva Mass Screening in Primary Schools: A 10-Week Sentinel Surveillance Study in Munich, Germany. Diagnostics. 12(1). 162–162. 6 indexed citations
7.
Klein, Arno, Satrajit Ghosh, Forrest Sheng Bao, et al.. (2017). Mindboggling morphometry of human brains. PLoS Computational Biology. 13(2). e1005350–e1005350. 378 indexed citations breakdown →
8.
Wang, Fei, Noah Lee, Jianying Hu, et al.. (2012). A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(2). 272–285. 55 indexed citations
9.
Wang, Fei, Noah Lee, Jianying Hu, Jimeng Sun, & Shahram Ebadollahi. (2012). Towards heterogeneous temporal clinical event pattern discovery. 453–461. 50 indexed citations
10.
Fawzi, Amani A., Noah Lee, Jennifer H. Acton, Andrew F. Laine, & R. Theodore Smith. (2011). Recovery of macular pigment spectrum in vivo using hyperspectral image analysis. Journal of Biomedical Optics. 16(10). 106008–106008. 34 indexed citations
11.
Lee, Noah, Andrew F. Laine, & Arno Klein. (2011). Towards a deep learning approach to brain parcellation. 321–324. 14 indexed citations
12.
Chen, Jian, Jie Tian, Noah Lee, et al.. (2010). A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration. IEEE Transactions on Biomedical Engineering. 57(7). 1707–1718. 231 indexed citations
13.
Lee, Noah, et al.. (2009). Potential of Computer-Aided Diagnosis to Improve CT Lung Cancer Screening. IEEE Reviews in Biomedical Engineering. 2. 136–146. 19 indexed citations
14.
Caban, Jesus J., Noah Lee, Shahram Ebadollahi, Andrew F. Laine, & John R. Kender. (2009). Concept detection in longitudinal brain MR images using multi-modal cues. Columbia Academic Commons (Columbia University). 7260. 418–421. 4 indexed citations
15.
Smith, R. Theodore, Noah Lee, Jian Chen, M. Busuioc, & Andrew F. Laine. (2008). Interactive image analysis in age-related macular degeneration (AMD) and Stargardt disease (STGD). PubMed. 2. 651–654. 1 indexed citations
16.
Lee, Noah, R. Theodore Smith, & Andrew F. Laine. (2008). Interactive segmentation for geographic atrophy in retinal fundus images. PubMed. 1(42). 655–658. 22 indexed citations
17.
Lee, Noah, Hüseyin Tek, & Andrew F. Laine. (2008). True-false lumen segmentation of aortic dissection using multi-scale wavelet analysis and generative-discriminative model matching. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6915. 69152V–69152V. 18 indexed citations
18.
Lee, Noah, Andrew F. Laine, & R. Theodore Smith. (2007). A hybrid segmentation approach for geographic atrophy in fundus auto-fluorescence images for diagnosis of age-related macular degeneration. Conference proceedings. 2007. 4965–4968. 22 indexed citations
19.
Lee, Noah, et al.. (2006). Tangential curved planar reformation for topological and orientation invariant visualization of vascular trees. PubMed. 2006. 1073–1076. 8 indexed citations
20.

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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