Mihee Lee
Impact in
- Computational Mathematics top 10%
- Statistics and Probability top 5%
- Statistical Methods and Inference
Papers in
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- Video Surveillance and Tracking Methods 3
-
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Jianhua Z. Huang (1 shared paper)Haipeng Shen (1 shared paper)J. S. Marron (1 shared paper)Zhiyan Fu (2 shared papers)Ken-ichi Noma (2 shared papers)Hideki Tanizawa (2 shared papers)Osamu Iwasaki (2 shared papers)Atsunari Tanaka (2 shared papers)
- Journals
- Electronic Journal of Statistics (1 paper)Journal of the Physical Society of Japan (1 paper)Computers & Graphics (1 paper)ACS Omega (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Mihee Lee
17 papers receiving 550 citations
Peers
Comparison fields: 5 of 96
- Computational Mathematics 12
- Statistics and Probability 50
- Molecular Biology 260
- Computer Vision and Pattern Recognition 66
- Automotive Engineering 37
Countries citing papers authored by Mihee Lee
This map shows the geographic impact of Mihee 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 Mihee Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihee Lee more than expected).
Fields of papers citing papers by Mihee Lee
This network shows the impact of papers produced by Mihee 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 Mihee Lee. The network helps show where Mihee Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Mihee 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 | 2010 | 169 | |
| 2 | 2010 | 162 | |
| 3 | 2022 | 45 | |
| 4 | 2010 | 41 | |
| 5 | 2017 | 39 | |
| 6 | 2021 | 26 | |
| 7 | 2018 | 20 | |
| 8 | 2013 | 14 | |
| 9 | 2010 | 12 | |
| 10 | 2013 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2013 | 4 | |
| 13 | 2014 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2017 | 2 | |
| 18 | A study on Optical Illusions as a Method of Visual Communication | 2013 | 1 |
About Mihee Lee
Mihee Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Genetics and Automotive Engineering, having authored 18 papers that have together received 563 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (3 papers), Statistical Methods and Inference (3 papers), Video Surveillance and Tracking Methods (3 papers), Fungal and yeast genetics research (2 papers), Quantum Dots Synthesis And Properties (2 papers), Anomaly Detection Techniques and Applications (2 papers), Genomics and Chromatin Dynamics (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Computational Mathematics (12 citations), Statistics and Probability (50 citations), Molecular Biology (260 citations), Computer Vision and Pattern Recognition (66 citations) and Automotive Engineering (37 citations). Mihee Lee has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Jianhua Z. Huang, Haipeng Shen, J. S. Marron, Zhiyan Fu, Ken-ichi Noma, Hideki Tanizawa, Osamu Iwasaki, Atsunari Tanaka, Priyankara Wickramasinghe and Vladimir Pavlović. Their work appears in journals such as Electronic Journal of Statistics, Journal of the Physical Society of Japan, Computers & Graphics, ACS Omega and Nucleic Acids Research.
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.