Tae Eun Choe
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Advanced Vision and Imaging 6
- Video Surveillance and Tracking Methods 5
- Video Analysis and Summarization 3
- Advanced Neural Network Applications 3
- Image Enhancement Techniques 2
-
- Retinal Imaging and Analysis 5
- Co-authors
- Mun Wai Lee (5 shared papers)I. Cohen (3 shared papers)Meng Meng (1 shared paper)Kewei Tu (1 shared paper)Song‐Chun Zhu (1 shared paper)Weide Zhang (2 shared papers)Jinghao Miao (2 shared papers)Guang Chen (1 shared paper)
- Journals
- IEEE Multimedia (1 paper)Medical Image Analysis (1 paper)Lecture notes in computer science (2 papers)Studies in computational intelligence (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Tae Eun Choe
19 papers receiving 306 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 269
- Automotive Engineering 75
- Ophthalmology 24
- Radiology, Nuclear Medicine and Imaging 51
- Artificial Intelligence 86
Countries citing papers authored by Tae Eun Choe
This map shows the geographic impact of Tae Eun Choe'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 Tae Eun Choe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae Eun Choe more than expected).
Fields of papers citing papers by Tae Eun Choe
This network shows the impact of papers produced by Tae Eun Choe. 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 Tae Eun Choe. The network helps show where Tae Eun Choe may publish in the future.
Co-authors
The 25 scholars most cited alongside Tae Eun Choe, 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 | 2020 | 86 | |
| 2 | 2014 | 77 | |
| 3 | 2006 | 28 | |
| 4 | 2012 | 24 | |
| 5 | 2005 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2007 | 13 | |
| 8 | 2006 | 10 | |
| 9 | 2011 | 9 | |
| 10 | 2010 | 8 | |
| 11 | 2006 | 7 | |
| 12 | 2011 | 6 | |
| 13 | 2011 | 6 | |
| 14 | 2013 | 6 | |
| 15 | 2008 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2007 | 4 | |
| 18 | 2023 | 2 | |
| 19 | 2014 | 1 |
About Tae Eun Choe
Tae Eun Choe is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Ophthalmology, Artificial Intelligence and Automotive Engineering, having authored 19 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Advanced Vision and Imaging (6 papers), Retinal Imaging and Analysis (5 papers), Video Surveillance and Tracking Methods (5 papers), Glaucoma and retinal disorders (4 papers), Video Analysis and Summarization (3 papers), Advanced Neural Network Applications (3 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (269 citations), Automotive Engineering (75 citations), Ophthalmology (24 citations), Radiology, Nuclear Medicine and Imaging (51 citations) and Artificial Intelligence (86 citations). Tae Eun Choe has collaborated with scholars based in United States and China. Frequent co-authors include Mun Wai Lee, I. Cohen, Meng Meng, Kewei Tu, Song‐Chun Zhu, Weide Zhang, Jinghao Miao, Guang Chen, Gérard Medioni and Niels Haering. Their work appears in journals such as IEEE Multimedia, Medical Image Analysis, Lecture notes in computer science, Studies in computational intelligence and arXiv (Cornell University).
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.