Chae Eun Rhee
Impact in
- Signal Processing top 5%
- Video Coding and Compression Technologies
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- Advanced Vision and Imaging
- Advanced Data Compression Techniques
- Advanced Image Processing Techniques
- Image and Video Quality Assessment
- Advanced Image and Video Retrieval Techniques
Papers in
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- Video Coding and Compression Technologies 28
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- Advanced Vision and Imaging 33
- Advanced Image Processing Techniques 19
- Image and Video Quality Assessment 14
- Advanced Data Compression Techniques 6
- Image Enhancement Techniques 6
Chae Eun Rhee
51 papers receiving 347 citations
Peers
Comparison fields: 5 of 44
- Signal Processing 175
- Computer Vision and Pattern Recognition 284
- Hardware and Architecture 41
- Computer Graphics and Computer-Aided Design 11
- Media Technology 24
Countries citing papers authored by Chae Eun Rhee
This map shows the geographic impact of Chae Eun Rhee'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 Chae Eun Rhee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chae Eun Rhee more than expected).
Fields of papers citing papers by Chae Eun Rhee
This network shows the impact of papers produced by Chae Eun Rhee. 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 Chae Eun Rhee. The network helps show where Chae Eun Rhee may publish in the future.
Co-authors
The 20 scholars most cited alongside Chae Eun Rhee, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 25 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 2 | |
| 17 | 2015 | 24 | |
| 18 | 2013 | 1 | |
| 19 | 2011 | 2 | |
| 20 | 2007 | 46 |
About Chae Eun Rhee
Chae Eun Rhee is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Hardware and Architecture and Media Technology, having authored 58 papers that have together received 358 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (33 papers), Video Coding and Compression Technologies (28 papers), Advanced Image Processing Techniques (19 papers), Image and Video Quality Assessment (14 papers), Advanced Data Storage Technologies (6 papers), Advanced Data Compression Techniques (6 papers), Parallel Computing and Optimization Techniques (6 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Signal Processing (175 citations), Computer Vision and Pattern Recognition (284 citations), Hardware and Architecture (41 citations), Computer Graphics and Computer-Aided Design (11 citations) and Media Technology (24 citations). Chae Eun Rhee has collaborated with scholars based in South Korea, Canada and France. Frequent co-authors include Hyuk‐Jae Lee, Hyuk-Jae Lee, Soonhoi Ha, Han‐You Jeong, Tae Sung Kim, Tae‐Hoon Kim, Hyun Kim, Junmo Kim, Youngjoon Yoo and Chulhee Lee. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Access, IEEE Transactions on Multimedia, IEEE Transactions on Consumer Electronics and Sensors.
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.