Mihee Lee
Impact in
- Computational Mathematics top 10%
- Statistics and Probability top 5%
- Statistical Methods and Inference
Papers in
-
- Video Surveillance and Tracking Methods 3
-
- Bayesian Methods and Mixture Models 2
- Co-authors
- J. S. Marron (1 shared paper)Jianhua Z. Huang (1 shared paper)Haipeng Shen (1 shared paper)Ken-ichi Noma (2 shared papers)Osamu Iwasaki (2 shared papers)Hideki Tanizawa (2 shared papers)Priyankara Wickramasinghe (2 shared papers)Atsunari Tanaka (2 shared papers)
- Journals
- Journal of Colloid and Interface Science (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Journal of the Physical Society of Japan (1 paper)Electronic Journal of Statistics (1 paper)Acta Biomaterialia (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Mihee Lee
17 papers receiving 540 citations
Peers
Comparison fields: 5 of 96
- Computational Mathematics 12
- Statistics and Probability 50
- Molecular Biology 275
- Computer Vision and Pattern Recognition 65
- Automotive Engineering 36
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 | 160 | |
| 3 | 2022 | 43 | |
| 4 | 2010 | 39 | |
| 5 | 2017 | 38 | |
| 6 | 2021 | 25 | |
| 7 | 2018 | 20 | |
| 8 | 2013 | 14 | |
| 9 | 2010 | 12 | |
| 10 | 2013 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2013 | 4 | |
| 13 | 2014 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2017 | 3 | |
| 17 | A study on Optical Illusions as a Method of Visual Communication | 2013 | 1 |
| 18 | 2017 | 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 554 indexed citations. Recurring topics across this work include Statistical Methods and Inference (3 papers), Autonomous Vehicle Technology and Safety (3 papers), Video Surveillance and Tracking Methods (3 papers), Fungal and yeast genetics research (2 papers), Genomics and Chromatin Dynamics (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Quantum Dots Synthesis And Properties (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Computational Mathematics (12 citations), Statistics and Probability (50 citations), Molecular Biology (275 citations), Computer Vision and Pattern Recognition (65 citations) and Automotive Engineering (36 citations). Mihee Lee has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include J. S. Marron, Jianhua Z. Huang, Haipeng Shen, Ken-ichi Noma, Osamu Iwasaki, Hideki Tanizawa, Priyankara Wickramasinghe, Atsunari Tanaka, Zhiyan Fu and Vladimir Pavlović. Their work appears in journals such as Journal of Colloid and Interface Science, The International Journal of Biochemistry & Cell Biology, Journal of the Physical Society of Japan, Electronic Journal of Statistics and Acta Biomaterialia.
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.