Po T. Wang
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 47
- Neural dynamics and brain function 4
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- Neuroscience and Neural Engineering 32
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology 5
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery 7
- Biomedical Engineering top 5%
- Muscle activation and electromyography studies 25
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- Advanced Memory and Neural Computing 7
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- Blind Source Separation Techniques 6
- Co-authors
- Zoran NenadićChristine KingHui AnAn H.Colin M. McCrimmonLuis A. ChuiCharles Y. LiuSophia Chun
- Journals
- NeuroImage (1 paper)Cerebral Cortex (1 paper)IEEE Transactions on Biomedical Engineering (3 papers)
- Partner nations
- United StatesBrazilJapan
In The Last Decade
Po T. Wang
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 61
- Cognitive Neuroscience 872
- Cellular and Molecular Neuroscience 609
- Human-Computer Interaction 122
- Rehabilitation 119
- Biomedical Engineering 493
Countries citing papers authored by Po T. Wang
This map shows the geographic impact of Po T. 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 Po T. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po T. Wang more than expected).
Fields of papers citing papers by Po T. Wang
This network shows the impact of papers produced by Po T. 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 Po T. Wang. The network helps show where Po T. Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Po T. 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 | 2024 | 7 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 7 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 3 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 15 | |
| 10 | 2018 | 2 | |
| 11 | 2018 | 4 | |
| 12 | 2017 | 34 | |
| 13 | 2016 | 14 | |
| 14 | 2016 | 46 | |
| 15 | 2015 | 45 | |
| 16 | 2013 | 68 | |
| 17 | 2012 | 21 | |
| 18 | 2012 | 35 | |
| 19 | 2011 | 96 | |
| 20 | 2009 | 4 |
About Po T. Wang
Po T. Wang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (47 papers), Neuroscience and Neural Engineering (32 papers), Muscle activation and electromyography studies (25 papers), Stroke Rehabilitation and Recovery (7 papers), Advanced Memory and Neural Computing (7 papers), Blind Source Separation Techniques (6 papers), Gaze Tracking and Assistive Technology (5 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Cognitive Neuroscience (872 citations), Cellular and Molecular Neuroscience (609 citations) and Human-Computer Interaction (122 citations). Po T. Wang has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Zoran Nenadić, Christine King, Hui An, An H., Colin M. McCrimmon, Luis A. Chui, Charles Y. Liu, Sophia Chun, Payam Heydari and Susan J. Shaw. Their work appears in journals such as NeuroImage, Cerebral Cortex and IEEE Transactions on Biomedical Engineering.
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.