C. Lee
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Neural Networks and Applications 3
-
- Face and Expression Recognition 3
- Digital Imaging for Blood Diseases 1
- Co-authors
- D. A. Landgrebe (5 shared papers)Hyungsik Lim (1 shared paper)Doraiswami Ramkrishna (1 shared paper)Piyush Agrawal (1 shared paper)James Bethel (1 shared paper)P.-R. Chang (1 shared paper)Hsien-I Lin (1 shared paper)Myungshin Kim (1 shared paper)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (3 papers)iScience (1 paper)Sensors (1 paper)Chemical Engineering Science (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United StatesSouth KoreaTaiwan
In The Last Decade
C. Lee
9 papers receiving 611 citations
Peers
Comparison fields: 5 of 85
- Media Technology 337
- Analytical Chemistry 128
- Atmospheric Science 171
- Computer Vision and Pattern Recognition 184
- Artificial Intelligence 175
Countries citing papers authored by C. Lee
This map shows the geographic impact of C. 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 C. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Lee more than expected).
Fields of papers citing papers by C. Lee
This network shows the impact of papers produced by C. 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 C. Lee. The network helps show where C. Lee may publish in the future.
Co-authors
The 10 scholars most cited alongside C. 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 | 1993 | 283 | |
| 2 | 1993 | 145 | |
| 3 | 1982 | 129 | |
| 4 | 2001 | 34 | |
| 5 | 1993 | 34 | |
| 6 | 1991 | 23 | |
| 7 | 1986 | 14 | |
| 8 | 2013 | 6 | |
| 9 | 2003 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2005 | 0 |
About C. Lee
C. Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Media Technology and Molecular Biology, having authored 11 papers that have together received 669 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (3 papers), Face and Expression Recognition (3 papers), Neural Networks and Applications (3 papers), Robotic Mechanisms and Dynamics (2 papers), Digital Imaging for Blood Diseases (1 paper), Artificial Intelligence in Healthcare (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Enzyme function and inhibition (1 paper). The work is most often cited by research in Media Technology (337 citations), Analytical Chemistry (128 citations), Atmospheric Science (171 citations), Computer Vision and Pattern Recognition (184 citations) and Artificial Intelligence (175 citations). C. Lee has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include D. A. Landgrebe, Hyungsik Lim, Doraiswami Ramkrishna, Piyush Agrawal, James Bethel, P.-R. Chang, Hsien-I Lin, Myungshin Kim, Youngil Koh and Jong‐Mi Lee. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, iScience, Sensors, Chemical Engineering Science and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.