Juheon Yi
Impact in
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- Image and Video Quality Assessment
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Visual Attention and Saliency Detection
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Image and Video Quality Assessment 7
- Video Surveillance and Tracking Methods 3
- Advanced Neural Network Applications 3
- Augmented Reality Applications 2
- Advanced Vision and Imaging 2
- Co-authors
- Sunghyun Choi (6 shared papers)Youngki Lee (6 shared papers)Youngki Lee (2 shared papers)Kyung‐Jin Lee (2 shared papers)Joongheon Kim (3 shared papers)Young Min Kim (1 shared paper)Mohammad A. Hoque (2 shared papers)Seongwon Kim (1 shared paper)
- Journals
- IEEE Transactions on Mobile Computing (3 papers)IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (1 paper)Seoul National University Open Repository (Seoul National University) (1 paper)Singapore Management University Institutional Knowledge (InK) (Singapore Management University) (1 paper)
- Partner nations
- South KoreaUnited KingdomFinland
In The Last Decade
Juheon Yi
14 papers receiving 324 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 234
- Computer Graphics and Computer-Aided Design 28
- Signal Processing 56
- Computer Networks and Communications 80
- Human-Computer Interaction 18
Countries citing papers authored by Juheon Yi
This map shows the geographic impact of Juheon Yi'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 Juheon Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juheon Yi more than expected).
Fields of papers citing papers by Juheon Yi
This network shows the impact of papers produced by Juheon Yi. 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 Juheon Yi. The network helps show where Juheon Yi may publish in the future.
Co-authors
The 14 scholars most cited alongside Juheon Yi, 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 | 74 | |
| 2 | 2020 | 50 | |
| 3 | 2020 | 49 | |
| 4 | 2018 | 39 | |
| 5 | 2017 | 30 | |
| 6 | 2020 | 29 | |
| 7 | 2022 | 24 | |
| 8 | 2023 | 16 | |
| 9 | 2021 | 6 | |
| 10 | 2018 | 5 | |
| 11 | 2025 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 0 |
About Juheon Yi
Juheon Yi is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering, having authored 15 papers that have together received 329 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (7 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Neural Network Applications (3 papers), Augmented Reality Applications (2 papers), Green IT and Sustainability (2 papers), Advanced Vision and Imaging (2 papers), Video Coding and Compression Technologies (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (234 citations), Computer Graphics and Computer-Aided Design (28 citations), Signal Processing (56 citations), Computer Networks and Communications (80 citations) and Human-Computer Interaction (18 citations). Juheon Yi has collaborated with scholars based in South Korea, United Kingdom and Finland. Frequent co-authors include Sunghyun Choi, Youngki Lee, Youngki Lee, Kyung‐Jin Lee, Joongheon Kim, Young Min Kim, Mohammad A. Hoque, Seongwon Kim, Chulhong Min and Fahim Kawsar. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, Seoul National University Open Repository (Seoul National University) and Singapore Management University Institutional Knowledge (InK) (Singapore Management 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.