Austin Wang
Impact in
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- Innovative Human-Technology Interaction
Papers in
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- Privacy-Preserving Technologies in Data 4
- Cryptography and Data Security 3
- Adversarial Robustness in Machine Learning 2
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- Multimodal Machine Learning Applications 3
- Human Pose and Action Recognition 2
- Co-authors
- Raylin Tso (4 shared papers)Sri Kurniawan (1 shared paper)Katherine Isbister (1 shared paper)Yu‐Chi Chen (1 shared paper)Siying Chen (1 shared paper)Melissa Chu (1 shared paper)Ferran Altarriba Bertran (1 shared paper)Tanmay Randhavane (2 shared papers)
- Journals
- Gastroenterology (1 paper)Journal of Stroke and Cerebrovascular Diseases (1 paper)Journal of Intensive Care Medicine (1 paper)IEEE Access (1 paper)American Journal of Physical Medicine & Rehabilitation (1 paper)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Austin Wang
22 papers receiving 168 citations
Peers
Comparison fields: 5 of 70
- Human Factors and Ergonomics 6
- Human-Computer Interaction 9
- Artificial Intelligence 45
- Communication 9
- Computer Vision and Pattern Recognition 24
Countries citing papers authored by Austin Wang
This map shows the geographic impact of Austin Wang'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 Austin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austin Wang more than expected).
Fields of papers citing papers by Austin Wang
This network shows the impact of papers produced by Austin Wang. 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 Austin Wang. The network helps show where Austin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Austin Wang, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 34 | |
| 2 | 2021 | 22 | |
| 3 | 2020 | 20 | |
| 4 | 2024 | 17 | |
| 5 | 2019 | 16 | |
| 6 | 2018 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2016 | 6 | |
| 10 | Sam goes to school: story listening systems in the classroom | 2004 | 5 |
| 11 | 2020 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2015 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2016 | 1 |
About Austin Wang
Austin Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Sociology and Political Science and Social Psychology, having authored 25 papers that have together received 176 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Cryptography and Data Security (3 papers), Multimodal Machine Learning Applications (3 papers), Adversarial Robustness in Machine Learning (2 papers), Human Pose and Action Recognition (2 papers), Recommender Systems and Techniques (2 papers), Social Robot Interaction and HRI (2 papers) and Cloud Data Security Solutions (2 papers). The work is most often cited by research in Human Factors and Ergonomics (6 citations), Human-Computer Interaction (9 citations), Artificial Intelligence (45 citations), Communication (9 citations) and Computer Vision and Pattern Recognition (24 citations). Austin Wang has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Raylin Tso, Sri Kurniawan, Katherine Isbister, Yu‐Chi Chen, Siying Chen, Melissa Chu, Ferran Altarriba Bertran, Tanmay Randhavane, Dinesh Manocha and Aniket Bera. Their work appears in journals such as Gastroenterology, Journal of Stroke and Cerebrovascular Diseases, Journal of Intensive Care Medicine, IEEE Access and American Journal of Physical Medicine & Rehabilitation.
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.