Angie Chen
Impact in
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
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- Augmented Reality Applications
Papers in
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- Virtual Reality Applications and Impacts 2
- Interactive and Immersive Displays 1
- Gaze Tracking and Assistive Technology 1
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- Education and Learning Interventions 1
- Co-authors
- Marc Ericson C. Santos (2 shared papers)Goshiro Yamamoto (3 shared papers)Takafumi Taketomi (2 shared papers)Jun Miyazaki (2 shared papers)Hirokazu Kato (3 shared papers)Svetlana Yarosh (1 shared paper)Yuki Uranishi (1 shared paper)Petri Pulli (1 shared paper)
- Journals
- IEEE Transactions on Learning Technologies (1 paper)Processes (1 paper)Institutional Repositories DataBase (IRDB) (1 paper)Computer-supported collaborative learning/The Computer-Supported Collaborative Learning Conference (1 paper)
- Partner nations
- JapanUnited StatesFinland
In The Last Decade
Angie Chen
5 papers receiving 335 citations
Angie Chen's Hit Papers
Peers
Comparison fields: 5 of 60
- Human-Computer Interaction 175
- Computer Vision and Pattern Recognition 273
- Information Systems 133
- Developmental and Educational Psychology 60
- Computer Science Applications 16
Countries citing papers authored by Angie Chen
This map shows the geographic impact of Angie Chen'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 Angie Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angie Chen more than expected).
Fields of papers citing papers by Angie Chen
This network shows the impact of papers produced by Angie Chen. 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 Angie Chen. The network helps show where Angie Chen may publish in the future.
Co-authors
The 11 scholars most cited alongside Angie Chen, 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 | Augmented Reality Learning Experiences: Survey of Prototype Design and Evaluation Hit paper breakdown → | 2014 | 339 |
| 2 | 2013 | 10 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 2 | |
| 5 | 2013 | 1 |
About Angie Chen
Angie Chen is a scholar working on Human-Computer Interaction, Information Systems, Computer Vision and Pattern Recognition, Infectious Diseases and Health, having authored 5 papers that have together received 355 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (2 papers), Augmented Reality Applications (2 papers), Education and Learning Interventions (1 paper), Tactile and Sensory Interactions (1 paper), Vaccine Coverage and Hesitancy (1 paper), Interactive and Immersive Displays (1 paper), Anatomy and Medical Technology (1 paper) and Gaze Tracking and Assistive Technology (1 paper). The work is most often cited by research in Human-Computer Interaction (175 citations), Computer Vision and Pattern Recognition (273 citations), Information Systems (133 citations), Developmental and Educational Psychology (60 citations) and Computer Science Applications (16 citations). Angie Chen has collaborated with scholars based in Japan, United States and Finland. Frequent co-authors include Marc Ericson C. Santos, Goshiro Yamamoto, Takafumi Taketomi, Jun Miyazaki, Hirokazu Kato, Svetlana Yarosh, Yuki Uranishi, Petri Pulli, Zuyi Huang and Zeeshan Asghar. Their work appears in journals such as IEEE Transactions on Learning Technologies, Processes, Institutional Repositories DataBase (IRDB) and Computer-supported collaborative learning/The Computer-Supported Collaborative Learning 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.