Younah Kang
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Human-Computer Interaction top 2%
- Signal Processing top 5%
- Topics
- Data Visualization and Analytics (9 papers)AI in Service Interactions (5 papers)Digital Mental Health Interventions (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionInformation Systems and Management
- Journals
- International Journal of Environmental Research and Public HealthComputerIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Younah Kang
24 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 888
- Artificial Intelligence 355
- Sociology and Political Science 215
- Human-Computer Interaction 177
- Signal Processing 112
Countries citing papers authored by Younah Kang
This map shows the geographic impact of Younah Kang'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 Younah Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Younah Kang more than expected).
Fields of papers citing papers by Younah Kang
This network shows the impact of papers produced by Younah Kang. 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 Younah Kang. The network helps show where Younah Kang may publish in the future.
Co-authorship network of co-authors of Younah Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Younah Kang. A scholar is included among the top collaborators of Younah Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Younah Kang. Younah Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 34 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 30 | |
| 15 | 58 | |
| 16 | 38 | |
| 17 | 56 | |
| 18 | Lightweight task/application performance using single versus multiple monitors: a comparative study | 21 |
| 19 | 111 | |
| 20 | Toward a Deeper Understanding of the Role of Interaction in Information Visualizationbreakdown → | 644 |
About Younah Kang
Younah Kang is a scholar working on Applied Psychology, Human-Computer Interaction and Information Systems and Management, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Visualization and Analytics (9 papers), AI in Service Interactions (5 papers) and Digital Mental Health Interventions (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (888 citations), Human-Computer Interaction (177 citations) and Information Systems and Management (88 citations). Younah Kang has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include John Stasko, Ji Soo Yi, Julie A. Jacko, Carsten Görg, Sung-Hee Kim, Sukwon Lee, Heidi Lam, Keeheon Lee, Juho Lee and Soyeon Kim. Their work appears in journals such as International Journal of Environmental Research and Public Health, Computer and IEEE Transactions on Visualization and Computer Graphics.
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.