Kookjin Lee
Impact in
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- Model Reduction and Neural Networks
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- Probabilistic and Robust Engineering Design
Papers in
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- Model Reduction and Neural Networks 13
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- Neural Networks and Applications 3
- Gaussian Processes and Bayesian Inference 3
- Co-authors
- Noseong Park (10 shared papers)Eric Parish (1 shared paper)Dong‐Eun Lee (7 shared papers)Jung-Eun Kim (1 shared paper)Jaideep Ray (3 shared papers)Kevin Carlberg (2 shared papers)Kab Seok Ko (1 shared paper)Yongwoo Cho (1 shared paper)
- Journals
- SIAM/ASA Journal on Uncertainty Quantification (2 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Computer Methods in Applied Mechanics and Engineering (1 paper)Materials Today (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Kookjin Lee
24 papers receiving 498 citations
Kookjin Lee's Hit Papers
Peers
Comparison fields: 5 of 80
- Statistical and Nonlinear Physics 334
- Statistics, Probability and Uncertainty 95
- Computational Mechanics 169
- Computational Mathematics 4
- Numerical Analysis 28
Countries citing papers authored by Kookjin Lee
This map shows the geographic impact of Kookjin 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 Kookjin Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kookjin Lee more than expected).
Fields of papers citing papers by Kookjin Lee
This network shows the impact of papers produced by Kookjin 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 Kookjin Lee. The network helps show where Kookjin Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Kookjin Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Model reduction for nonlinear dynamical systems using deep convolutional autoencoders. Hit paper breakdown → | 2023 | 282 |
| 2 | 2021 | 62 | |
| 3 | 2021 | 33 | |
| 4 | 2012 | 23 | |
| 5 | 2022 | 15 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2018 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2024 | 4 | |
| 15 | MMGAN: Manifold Matching Generative Adversarial Network for Generating Images. | 2017 | 3 |
| 16 | 2024 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2018 | 2 | |
| 20 | A Novel Method to Solve Neural Knapsack Problems | 2021 | 1 |
About Kookjin Lee
Kookjin Lee is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty and Geophysics, having authored 27 papers that have together received 507 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (13 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Probabilistic and Robust Engineering Design (5 papers), Seismic Imaging and Inversion Techniques (3 papers), Neural Networks and Applications (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Hydrological Forecasting Using AI (2 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (334 citations), Statistics, Probability and Uncertainty (95 citations), Computational Mechanics (169 citations), Computational Mathematics (4 citations) and Numerical Analysis (28 citations). Kookjin Lee has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Noseong Park, Eric Parish, Dong‐Eun Lee, Jung-Eun Kim, Jaideep Ray, Kevin Carlberg, Kab Seok Ko, Yongwoo Cho, Jaesheung Shin and Dan Keun Sung. Their work appears in journals such as SIAM/ASA Journal on Uncertainty Quantification, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Computer Methods in Applied Mechanics and Engineering, Materials Today and PLoS ONE.
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.