Se-Young Yun
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- Cooperative Communication and Network Coding 8
- Wireless Networks and Protocols 6
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 8
- Topic Modeling 7
- Natural Language Processing Techniques 6
- Machine Learning and Data Classification 6
- Media Technology top 10%
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- Advanced Wireless Network Optimization 15
- Advanced MIMO Systems Optimization 9
Se-Young Yun
55 papers receiving 666 citations
Peers
Comparison fields: 5 of 92
- Computer Networks and Communications 291
- Artificial Intelligence 238
- Computer Vision and Pattern Recognition 118
- Media Technology 44
- Electrical and Electronic Engineering 289
Countries citing papers authored by Se-Young Yun
This map shows the geographic impact of Se-Young Yun'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 Se-Young Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Se-Young Yun more than expected).
Fields of papers citing papers by Se-Young Yun
This network shows the impact of papers produced by Se-Young Yun. 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 Se-Young Yun. The network helps show where Se-Young Yun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Se-Young Yun, 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 54 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 0 | |
| 12 | 2022 | 5 | |
| 13 | 2020 | 2 | |
| 14 | Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models | 2020 | 1 |
| 15 | Parameter estimation for generalized thurstone choice models | 2016 | 1 |
| 16 | 2015 | 7 | |
| 17 | 2015 | 7 | |
| 18 | Streaming, Memory Limited Algorithms for Community Detection | 2014 | 2 |
| 19 | CSMA using Statistical Physics toward Throughput and Utility Optimal CSMA. | 2013 | 1 |
| 20 | Common Bile Duct Obstruction Caused by Tumor Thrombus after Trans-arterial Chemoembolization in a Hepatocellular Carcinoma Patient. | 2009 | 1 |
About Se-Young Yun
Se-Young Yun is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research, having authored 62 papers that have together received 682 indexed citations. Recurring topics across this work include Advanced Wireless Network Optimization (15 papers), Advanced MIMO Systems Optimization (9 papers), Domain Adaptation and Few-Shot Learning (8 papers), Cooperative Communication and Network Coding (8 papers), Topic Modeling (7 papers), Wireless Networks and Protocols (6 papers), Natural Language Processing Techniques (6 papers) and Machine Learning and Data Classification (6 papers). The work is most often cited by research in Computer Networks and Communications (291 citations), Artificial Intelligence (238 citations) and Computer Vision and Pattern Recognition (118 citations). Se-Young Yun has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Yung Yi, Dong‐Ho Cho, Jaehoon Oh, Taehyeon Kim, Jinwoo Shin, Jeonghoon Mo, Do Young Eun, ChangHwan Kim, Alexandre Proutière and Hwanjun Song. Their work appears in journals such as Management Science, IEEE Transactions on Information Theory and IEEE Access.
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.