Keewoo Lee
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Cryptographic Implementations and Security
- Coding theory and cryptography
- Stochastic Gradient Optimization Techniques
- Information Systems top 10%
- Cryptography and Residue Arithmetic
Papers in
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- Cryptography and Data Security 7
- Coding theory and cryptography 2
- Cryptographic Implementations and Security 2
- Privacy-Preserving Technologies in Data 1
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- Cryptography and Residue Arithmetic 4
- Co-authors
- Jung Hee Cheon (6 shared papers)Yongsoo Song (1 shared paper)Andrey Kim (1 shared paper)Miran Kim (1 shared paper)Sunwoong Kim (3 shared papers)Rob A. Rutenbar (2 shared papers)Yujin Nam (1 shared paper)Sangpyo Kim (2 shared papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Keewoo Lee
8 papers receiving 238 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 212
- Information Systems 79
- Computer Vision and Pattern Recognition 52
- Computational Theory and Mathematics 40
- Hardware and Architecture 15
Countries citing papers authored by Keewoo Lee
This map shows the geographic impact of Keewoo 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 Keewoo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keewoo Lee more than expected).
Fields of papers citing papers by Keewoo Lee
This network shows the impact of papers produced by Keewoo 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 Keewoo Lee. The network helps show where Keewoo Lee may publish in the future.
Co-authors
The 18 scholars most cited alongside Keewoo 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 104 | |
| 2 | 2019 | 44 | |
| 3 | 2021 | 43 | |
| 4 | 2020 | 42 | |
| 5 | 2022 | 5 | |
| 6 | 2019 | 4 | |
| 7 | 2024 | 1 | |
| 8 | 2021 | 1 |
About Keewoo Lee
Keewoo Lee is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Genetics, having authored 8 papers that have together received 244 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Cryptography and Residue Arithmetic (4 papers), Chaos-based Image/Signal Encryption (3 papers), Complexity and Algorithms in Graphs (2 papers), Coding theory and cryptography (2 papers), Cryptographic Implementations and Security (2 papers), Privacy-Preserving Technologies in Data (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Artificial Intelligence (212 citations), Information Systems (79 citations), Computer Vision and Pattern Recognition (52 citations), Computational Theory and Mathematics (40 citations) and Hardware and Architecture (15 citations). Keewoo Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jung Hee Cheon, Yongsoo Song, Andrey Kim, Miran Kim, Sunwoong Kim, Rob A. Rutenbar, Yujin Nam, Sangpyo Kim, Jongmin Kim and Nam Hoon Kim. Their work appears in journals such as IEEE Access, BMC Genomics and BMC Medical Genomics.
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.