Boyu Wang
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Privacy-Preserving Technologies in Data
Papers in
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- EEG and Brain-Computer Interfaces 19
- Visual perception and processing mechanisms 2
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- Domain Adaptation and Few-Shot Learning 21
- Privacy-Preserving Technologies in Data 4
- AI in cancer detection 2
- Co-authors
- Feng Wan (20 shared papers)Chi Man Wong (13 shared papers)Agostinho C. Rosa (4 shared papers)Mang I Vai (13 shared papers)Peng Un Mak (13 shared papers)Ze Wang (4 shared papers)Ka Fai Lao (3 shared papers)Changjian Shui (8 shared papers)
In The Last Decade
Boyu Wang
67 papers receiving 1k citations
Peers
Comparison fields: 5 of 73
- Cognitive Neuroscience 513
- Artificial Intelligence 290
- Computer Vision and Pattern Recognition 115
- Computational Mathematics 2
- Health Informatics 6
Countries citing papers authored by Boyu Wang
This map shows the geographic impact of Boyu 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 Boyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boyu Wang more than expected).
Fields of papers citing papers by Boyu Wang
This network shows the impact of papers produced by Boyu 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 Boyu Wang. The network helps show where Boyu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Boyu 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 112 | |
| 2 | 2020 | 105 | |
| 3 | 2020 | 66 | |
| 4 | 2022 | 58 | |
| 5 | 2021 | 55 | |
| 6 | 2019 | 52 | |
| 7 | 2011 | 50 | |
| 8 | 2023 | 40 | |
| 9 | 2022 | 33 | |
| 10 | 2009 | 29 | |
| 11 | 2015 | 28 | |
| 12 | 2023 | 25 | |
| 13 | 2020 | 24 | |
| 14 | 2018 | 20 | |
| 15 | Transfer Learning via Minimizing the Performance Gap Between Domains | 2019 | 20 |
| 16 | 2021 | 20 | |
| 17 | 2022 | 20 | |
| 18 | 2011 | 19 | |
| 19 | 2013 | 18 | |
| 20 | 2020 | 18 |
About Boyu Wang
Boyu Wang is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Physiology, having authored 72 papers that have together received 1k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (21 papers), EEG and Brain-Computer Interfaces (19 papers), Privacy-Preserving Technologies in Data (4 papers), Advanced Neural Network Applications (4 papers), Visual perception and processing mechanisms (2 papers), Context-Aware Activity Recognition Systems (2 papers), AI in cancer detection (2 papers) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Cognitive Neuroscience (513 citations), Artificial Intelligence (290 citations), Computer Vision and Pattern Recognition (115 citations), Computational Mathematics (2 citations) and Health Informatics (6 citations). Boyu Wang has collaborated with scholars based in Canada, China and Macao. Frequent co-authors include Feng Wan, Chi Man Wong, Agostinho C. Rosa, Mang I Vai, Peng Un Mak, Ze Wang, Ka Fai Lao, Changjian Shui, Fan Zhou and Pui‐In Mak. Their work appears in journals such as Knowledge-Based Systems, Neural Networks, Journal of Neuroscience, IEEE Journal of Biomedical and Health Informatics and European Heart Journal - Quality of Care and Clinical Outcomes.
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.