Bryan Wang
Impact in
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays
- Innovative Human-Technology Interaction
- Computer Science Applications top 10%
Papers in
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- Video Analysis and Summarization 5
- Multimodal Machine Learning Applications 4
-
- Topic Modeling 4
- Speech and dialogue systems 3
- Co-authors
- Tovi Grossman (5 shared papers)Yang Li (1 shared paper)Sageev Oore (2 shared papers)Maurício Sousa (2 shared papers)Te-Yen Wu (3 shared papers)Mike Y. Chen (3 shared papers)Yi‐Hsuan Yang (1 shared paper)Zhourong Chen (1 shared paper)
- Journals
- npj Regenerative Medicine (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)Journal of Biomedical Optics (1 paper)Frontiers in Neuroscience (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Bryan Wang
22 papers receiving 348 citations
Peers
Comparison fields: 5 of 79
- Human-Computer Interaction 112
- Computer Science Applications 31
- Computer Vision and Pattern Recognition 107
- Health Informatics 7
- Information Systems and Management 25
Countries citing papers authored by Bryan Wang
This map shows the geographic impact of Bryan 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 Bryan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Wang more than expected).
Fields of papers citing papers by Bryan Wang
This network shows the impact of papers produced by Bryan 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 Bryan Wang. The network helps show where Bryan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 74 | |
| 2 | 2023 | 68 | |
| 3 | 2021 | 39 | |
| 4 | 2016 | 28 | |
| 5 | 2017 | 27 | |
| 6 | 2018 | 27 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 17 | |
| 9 | 2020 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Bryan Wang
Bryan Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Cognitive Neuroscience and Signal Processing, having authored 26 papers that have together received 357 indexed citations. Recurring topics across this work include Video Analysis and Summarization (5 papers), Multimodal Machine Learning Applications (4 papers), Topic Modeling (4 papers), Digital Holography and Microscopy (3 papers), Speech and dialogue systems (3 papers), Music and Audio Processing (3 papers), Tactile and Sensory Interactions (3 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Human-Computer Interaction (112 citations), Computer Science Applications (31 citations), Computer Vision and Pattern Recognition (107 citations), Health Informatics (7 citations) and Information Systems and Management (25 citations). Bryan Wang has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Tovi Grossman, Yang Li, Sageev Oore, Maurício Sousa, Te-Yen Wu, Mike Y. Chen, Yi‐Hsuan Yang, Zhourong Chen, Yang Li and Gang Li. Their work appears in journals such as npj Regenerative Medicine, Monthly Notices of the Royal Astronomical Society, Journal of Biomedical Optics, Frontiers in Neuroscience and Proceedings of the AAAI 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.