Minsuk Chang
Impact in
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
- Virtual Reality Applications and Impacts
- Health Informatics top 10%
Papers in
-
- Topic Modeling 9
- Speech and dialogue systems 4
- Natural Language Processing Techniques 4
-
- Software Engineering Research 4
- Co-authors
- Juho Kim (10 shared papers)John Joon Young Chung (6 shared papers)Kang Min Yoo (2 shared papers)Woo Seok Kim (2 shared papers)Hwaran Lee (2 shared papers)Eytan Adar (2 shared papers)Maneesh Agrawala (3 shared papers)Irina Shklovski (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)Computer (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Lecture notes in computer science (1 paper)Designing Interactive Systems Conference (1 paper)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Minsuk Chang
28 papers receiving 592 citations
Minsuk Chang's Hit Papers
Peers
Comparison fields: 5 of 88
- Human-Computer Interaction 139
- Health Informatics 19
- Computer Science Applications 53
- Computer Vision and Pattern Recognition 146
- Artificial Intelligence 210
Countries citing papers authored by Minsuk Chang
This map shows the geographic impact of Minsuk Chang'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 Minsuk Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minsuk Chang more than expected).
Fields of papers citing papers by Minsuk Chang
This network shows the impact of papers produced by Minsuk Chang. 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 Minsuk Chang. The network helps show where Minsuk Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minsuk Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TaleBrush: Sketching Stories with Generative Pretrained Language Models Hit paper breakdown → | 2022 | 134 |
| 2 | 2023 | 63 | |
| 3 | 2019 | 42 | |
| 4 | 2021 | 35 | |
| 5 | 2018 | 35 | |
| 6 | 2023 | 34 | |
| 7 | 2021 | 32 | |
| 8 | 2006 | 27 | |
| 9 | 2021 | 23 | |
| 10 | 2021 | 22 | |
| 11 | 2024 | 20 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 15 | |
| 14 | 2022 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2019 | 8 |
About Minsuk Chang
Minsuk Chang is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Science Applications, having authored 29 papers that have together received 607 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Speech and dialogue systems (4 papers), Software Engineering Research (4 papers), Natural Language Processing Techniques (4 papers), Educational Games and Gamification (3 papers), Multimodal Machine Learning Applications (3 papers), Personal Information Management and User Behavior (3 papers) and Innovative Human-Technology Interaction (3 papers). The work is most often cited by research in Human-Computer Interaction (139 citations), Health Informatics (19 citations), Computer Science Applications (53 citations), Computer Vision and Pattern Recognition (146 citations) and Artificial Intelligence (210 citations). Minsuk Chang has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Juho Kim, John Joon Young Chung, Kang Min Yoo, Woo Seok Kim, Hwaran Lee, Eytan Adar, Maneesh Agrawala, Irina Shklovski, Michael Terry and Yoon-Joo Lee. Their work appears in journals such as IEEE Robotics and Automation Letters, Computer, IEEE Transactions on Visualization and Computer Graphics, Lecture notes in computer science and Designing Interactive Systems Conference.
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.