Joon Son Chung
- Signal Processing top 0.1%
- Speech and Audio Processing 44
- Music and Audio Processing 34
- Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis 37
- Natural Language Processing Techniques 6
- Speech and dialogue systems 4
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- Face recognition and analysis 8
- Video Analysis and Summarization 6
- Generative Adversarial Networks and Image Synthesis 2
- Human-Computer Interaction top 5%
- Co-authors
- Andrew ZissermanArsha NagraniTriantafyllos AfourasWeidi XieAndrew SeniorOriol VinyalsBong‐Jin LeeJaesung Huh
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)International Journal of Computer Vision (1 paper)IEEE Signal Processing Letters (1 paper)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Joon Son Chung
59 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Signal Processing 2.8k
- Artificial Intelligence 2.4k
- Computer Vision and Pattern Recognition 1.0k
- Human-Computer Interaction 83
- Experimental and Cognitive Psychology 119
Countries citing papers authored by Joon Son Chung
This map shows the geographic impact of Joon Son Chung'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 Joon Son Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joon Son Chung more than expected).
Fields of papers citing papers by Joon Son Chung
This network shows the impact of papers produced by Joon Son Chung. 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 Joon Son Chung. The network helps show where Joon Son Chung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joon Son Chung, 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 | 2026 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 11 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | Playing a part: speaker verification at the movies | 2021 | 12 |
| 14 | 2021 | 9 | |
| 15 | 2020 | 70 | |
| 16 | In Defence of Metric Learning for Speaker Recognitionbreakdown → | 2020 | 232 |
| 17 | 2020 | 44 | |
| 18 | 2019 | 25 | |
| 19 | VoxCeleb2: Deep Speaker Recognitionbreakdown → | 2018 | 1248 |
| 20 | The conversation: deep audio-visual speech enhancement | 2018 | 218 |
About Joon Son Chung
Joon Son Chung is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 3.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (44 papers), Speech Recognition and Synthesis (37 papers), Music and Audio Processing (34 papers), Face recognition and analysis (8 papers), Video Analysis and Summarization (6 papers), Natural Language Processing Techniques (6 papers), Speech and dialogue systems (4 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Signal Processing (2.8k citations), Artificial Intelligence (2.4k citations) and Computer Vision and Pattern Recognition (1.0k citations). Joon Son Chung has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Andrew Zisserman, Arsha Nagrani, Triantafyllos Afouras, Weidi Xie, Andrew Senior, Oriol Vinyals, Bong‐Jin Lee, Jaesung Huh, Soo-Whan Chung and Hong-Goo Kang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Signal Processing Letters.
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.