Minseok Choi
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- Caching and Content Delivery 15
- Peer-to-Peer Network Technologies 7
- Cooperative Communication and Network Coding 6
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- Image and Video Quality Assessment 9
- Advanced Neural Network Applications 7
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data 9
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- Advanced Wireless Communication Technologies 7
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- Video Coding and Compression Technologies 7
- Co-authors
- Joongheon KimJaekyun MoonDong-Jun HanKwon JunghyunJunsuk RhoJoohoon KimF. C. ParkAndreas F. Molisch
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionAcoustics and Ultrasonics
- Journals
- Advanced Materials (1 paper)Scientific Reports (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Minseok Choi
67 papers receiving 753 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Computer Networks and Communications 224
- Computer Vision and Pattern Recognition 176
- Acoustics and Ultrasonics 6
- Artificial Intelligence 204
- Computer Graphics and Computer-Aided Design 22
Countries citing papers authored by Minseok Choi
This map shows the geographic impact of Minseok Choi'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 Minseok Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minseok Choi more than expected).
Fields of papers citing papers by Minseok Choi
This network shows the impact of papers produced by Minseok Choi. 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 Minseok Choi. The network helps show where Minseok Choi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Minseok Choi, 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 | 3 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 19 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 14 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 18 | |
| 15 | Sageflow: Robust Federated Learning against Both Stragglers and Adversaries | 2021 | 26 |
| 16 | 2020 | 19 | |
| 17 | 2020 | 11 | |
| 18 | 2020 | 7 | |
| 19 | 2019 | 13 | |
| 20 | 2018 | 59 |
About Minseok Choi
Minseok Choi is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Acoustics and Ultrasonics, having authored 76 papers that have together received 791 indexed citations. Recurring topics across this work include Caching and Content Delivery (15 papers), Image and Video Quality Assessment (9 papers), Privacy-Preserving Technologies in Data (9 papers), Peer-to-Peer Network Technologies (7 papers), Advanced Wireless Communication Technologies (7 papers), Video Coding and Compression Technologies (7 papers), Advanced Neural Network Applications (7 papers) and Cooperative Communication and Network Coding (6 papers). The work is most often cited by research in Computer Networks and Communications (224 citations), Computer Vision and Pattern Recognition (176 citations) and Acoustics and Ultrasonics (6 citations). Minseok Choi has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Joongheon Kim, Jaekyun Moon, Dong-Jun Han, Joongheon Kim, Kwon Junghyun, Junsuk Rho, Joohoon Kim, F. C. Park, Andreas F. Molisch and Younghwan Yang. Their work appears in journals such as Advanced Materials, Scientific Reports and IEEE Transactions on Image Processing.
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.