Jake Lee

828 total citations
27 papers, 426 citations indexed

About

Jake Lee is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jake Lee has authored 27 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nuclear and High Energy Physics, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Jake Lee's work include Particle physics theoretical and experimental studies (14 papers), Neutrino Physics Research (11 papers) and Quantum Chromodynamics and Particle Interactions (6 papers). Jake Lee is often cited by papers focused on Particle physics theoretical and experimental studies (14 papers), Neutrino Physics Research (11 papers) and Quantum Chromodynamics and Particle Interactions (6 papers). Jake Lee collaborates with scholars based in South Korea, United States and Taiwan. Jake Lee's co-authors include C. S. Kim, Sin Kyu Kang, Y. H. Ahn, Kerstin Dehne, Léon C.L.T. van Kempen, Lisa M. Coussens, Dylan R. Edwards, Kingman Cheung, W. Namgung and H. Athar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Astrophysical Journal and Physics Letters B.

In The Last Decade

Jake Lee

24 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jake Lee South Korea 10 238 69 65 55 33 27 426
T. M. Johnson United States 10 127 0.5× 158 2.3× 327 5.0× 34 0.6× 45 1.4× 39 648
T. Uyama Japan 12 204 0.9× 51 0.7× 57 0.9× 12 0.2× 78 2.4× 35 375
Pablo García‐Martínez Argentina 8 58 0.2× 51 0.7× 54 0.8× 20 0.4× 41 1.2× 28 266
S. Towers United Kingdom 3 29 0.1× 30 0.4× 80 1.2× 10 0.2× 36 1.1× 3 233
A. Conte Italy 14 43 0.2× 248 3.6× 51 0.8× 96 1.7× 74 2.2× 57 739
F. Verrecchia Italy 14 317 1.3× 89 1.3× 207 3.2× 27 0.5× 389 11.8× 65 792
Katsuyoshi Kumagai Japan 9 72 0.3× 200 2.9× 24 0.4× 44 0.8× 10 0.3× 16 450
A. Schreiner Germany 13 31 0.1× 200 2.9× 40 0.6× 64 1.2× 5 0.2× 29 504
Jarny Choi Australia 9 82 0.3× 194 2.8× 26 0.4× 38 0.7× 67 2.0× 18 392
Luis Aparicio Spain 9 144 0.6× 43 0.6× 27 0.4× 23 0.4× 91 2.8× 18 296

Countries citing papers authored by Jake Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jake Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jake Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jake Lee. A scholar is included among the top collaborators of Jake 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 Jake Lee. Jake 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, Jake, et al.. (2025). Monitoring changes of forest height in California. Frontiers in Remote Sensing. 5. 2 indexed citations
2.
Lee, Jake, et al.. (2025). SpecTf: Transformers enable data-driven imaging spectroscopy cloud detection. Proceedings of the National Academy of Sciences. 122(27). e2502903122–e2502903122.
3.
Scognamiglio, Diana, Jake Lee, Eric Huff, S. R. Hildebrandt, & Shoubaneh Hemmati. (2025). Denoising Diffusion Probabilistic Model for Realistic and Fast Generated Euclid-like Data for Weak Lensing Analysis. The Astrophysical Journal. 985(1). 2–2.
4.
Lee, Jake, Lukas Mandrake, Gary Doran, et al.. (2024). Onboard Science Instrument Autonomy for the Detection of MicroscopyBiosignatures on the Ocean Worlds Life Surveyor. The Planetary Science Journal. 5(1). 19–19. 8 indexed citations
5.
Lee, Jake, Lukas Mandrake, Gary Doran, et al.. (2022). Autonomous CE Mass‐Spectra Examination for the Ocean Worlds Life Surveyor. Earth and Space Science. 9(10). e2022EA002247–e2022EA002247. 4 indexed citations
6.
Johnston, Nikki, et al.. (2022). Quantification of Motility in Bacillus subtilis at Temperatures Up to 84°C Using a Submersible Volumetric Microscope and Automated Tracking. Frontiers in Microbiology. 13. 836808–836808. 7 indexed citations
7.
Kerner, Hannah, Umaa Rebbapragada, Kiri L. Wagstaff, et al.. (2022). Domain-Agnostic Outlier Ranking Algorithms—A Configurable Pipeline for Facilitating Outlier Detection in Scientific Datasets. Frontiers in Astronomy and Space Sciences. 9.
8.
Lee, Jake & Kiri L. Wagstaff. (2020). Visualizing image content to explain novel image discovery. Data Mining and Knowledge Discovery. 34(6). 1777–1804. 1 indexed citations
9.
Wagstaff, Kiri L., et al.. (2019). Improved Content-Based Image Classifiers for the PDS Image Atlas. 2151. 7028. 1 indexed citations
10.
Sounni, Nor Eddine, Kerstin Dehne, Léon C.L.T. van Kempen, et al.. (2010). Stromal regulation of vessel stability by MMP14 and TGFβ. Disease Models & Mechanisms. 3(5-6). 317–332. 74 indexed citations
11.
Ahn, Y. H., Sin Kyu Kang, C. S. Kim, & Jake Lee. (2008). Leptogenesis in a seesaw model with Fritzsch-type lepton mass matrices. Physical review. D. Particles, fields, gravitation, and cosmology. 77(7). 1 indexed citations
12.
Kang, Sin Kyu, et al.. (2007). Correlation between lepton flavor violation and B(d,s)–B¯(d,s) mixing in SUSY GUT. Physics Letters B. 652(5-6). 319–324. 8 indexed citations
13.
Kim, C. S., et al.. (2006). Exclusive B→Mνν¯ (M=π,K,ρ,K∗) decays and leptophobic Z′ model. Physics Letters B. 636(5). 270–277. 20 indexed citations
14.
Kang, Sin Kyu, C. S. Kim, & Jake Lee. (2005). Importance of threshold corrections in quark–lepton complementarity. Physics Letters B. 619(1-2). 129–135. 44 indexed citations
15.
Kempen, Léon C.L.T. van, et al.. (2002). Epithelial carcinogenesis: dynamic interplay between neoplastic cells and their microenvironment. Differentiation. 70(9-10). 610–623. 67 indexed citations
16.
Kim, C. S., Y.-J. Kwon, Jake Lee, & W. Namgung. (2002). Test of factorization hypothesis from exclusive nonleptonicBdecays. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 65(9). 3 indexed citations
17.
Kim, C. S., Y.-J. Kwon, Jake Lee, & W. Namgung. (2001). Measurement of|Vub/Vcb|(and|Vub|)in exclusive nonleptonic decays within the generalized factorization scheme. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 63(9). 8 indexed citations
18.
Kim, C. S., Jake Lee, & W. Namgung. (1999). CPviolation in the semileptonicBl4 (B→Dπlν)decays: Multi-Higgs-doublet model and scalar-leptoquark models. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 59(11). 7 indexed citations
19.
Kim, C. S., Jake Lee, & W. Namgung. (1999). CPviolation in the semileptonicBl4decays(B±→π+π−l±ν). Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 60(9). 2 indexed citations
20.
Choi, S., Jake Lee, & Jeonghyeon Song. (1998). CP violation in the Cabbibo-suppressed decay τ→Kπντ with polarized τ leptons. Physics Letters B. 437(1-2). 191–200. 12 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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