Bryan Wang
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology 2
- Computer Science Applications top 10%
-
- Video Analysis and Summarization 5
- Multimodal Machine Learning Applications 4
-
- Topic Modeling 4
- Speech and dialogue systems 3
-
- Digital Holography and Microscopy 3
-
- Music and Audio Processing 3
-
- Tactile and Sensory Interactions 3
- Co-authors
- Tovi GrossmanYang LiSageev OoreMaurício SousaMike Y. ChenTe-Yen WuYi‐Hsuan YangZhourong Chen
- Cited by
- Human-Computer InteractionComputer Science ApplicationsComputer Vision and Pattern Recognition
- Journals
- npj Regenerative Medicine (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)Journal of Biomedical Optics (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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 68 | |
| 11 | 2023 | 74 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 39 | |
| 16 | 2020 | 14 | |
| 17 | 2020 | 19 | |
| 18 | 2017 | 27 | |
| 19 | 2016 | 28 | |
| 20 | 2010 | 1 |
About Bryan Wang
Bryan Wang is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Signal Processing, Biophysics and Instrumentation, having authored 26 papers that have together received 357 indexed citations. Recurring topics across this work include Video Analysis and Summarization (5 papers), Topic Modeling (4 papers), Multimodal Machine Learning Applications (4 papers), Speech and dialogue systems (3 papers), Digital Holography and Microscopy (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, Mike Y. Chen, Te-Yen Wu, Yi‐Hsuan Yang, Yang Li, Zhourong Chen 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 2022 IEEE International Conference on Image Processing (ICIP).
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.