John Joon Young Chung
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction 4
- Virtual Reality Applications and Impacts 3
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- Online Learning and Analytics 2
- Health Informatics top 10%
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- Video Analysis and Summarization 3
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- Artificial Intelligence in Games 7
- Topic Modeling 4
- Domain Adaptation and Few-Shot Learning 3
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- Design Education and Practice 3
- Journals
- Proceedings of the ACM on Human-Computer Interaction (3 papers)XRDS Crossroads The ACM Magazine for Students (1 paper)CHI Conference on Human Factors in Computing Systems Extended Abstracts (1 paper)
- Partner nations
- United StatesSouth KoreaSwitzerland
In The Last Decade
John Joon Young Chung
23 papers receiving 398 citations
Peers
Comparison fields: 5 of 60
- Human-Computer Interaction 113
- Computer Science Applications 61
- Health Informatics 15
- Computer Graphics and Computer-Aided Design 25
- Computer Vision and Pattern Recognition 93
Countries citing papers authored by John Joon Young Chung
This map shows the geographic impact of John Joon Young 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 John Joon Young Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Joon Young Chung more than expected).
Fields of papers citing papers by John Joon Young Chung
This network shows the impact of papers produced by John Joon Young 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 John Joon Young Chung. The network helps show where John Joon Young Chung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Joon Young 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 36 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 18 | |
| 13 | 2022 | 104 | |
| 14 | 2022 | 23 | |
| 15 | 2022 | 10 | |
| 16 | 2021 | 51 | |
| 17 | 2021 | 20 | |
| 18 | 2020 | 6 | |
| 19 | 2019 | 31 | |
| 20 | Exprgram: A Video-based Language Learning Interface Powered by Learnersourced Video Annotations | 2017 | 1 |
About John Joon Young Chung
John Joon Young Chung is a scholar working on Human-Computer Interaction, Computer Science Applications and Artificial Intelligence, having authored 25 papers that have together received 404 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (7 papers), Topic Modeling (4 papers), Innovative Human-Technology Interaction (4 papers), Video Analysis and Summarization (3 papers), Design Education and Practice (3 papers), Virtual Reality Applications and Impacts (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Human-Computer Interaction (113 citations), Computer Science Applications (61 citations) and Health Informatics (15 citations). John Joon Young Chung has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Eytan Adar, Minsuk Chang, Juho Kim, Kang Min Yoo, Hwaran Lee, Woo Seok Kim, Jean Song, Sung-Soo Hong, Yoon-Joo Lee and Walter S. Lasecki. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, XRDS Crossroads The ACM Magazine for Students, CHI Conference on Human Factors in Computing Systems Extended Abstracts, CHI Conference on Human Factors in Computing Systems and National Conference on Artificial Intelligence.
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.