Charles Y. Liu
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces 80
- Neural dynamics and brain function 33
- Functional Brain Connectivity Studies 12
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- Neuroscience and Neural Engineering 68
- Neurology top 1%
- Neurological disorders and treatments 27
- Transcranial Magnetic Stimulation Studies 13
- Traumatic Brain Injury and Neurovascular Disturbances 13
- Neurology top 2%
- Neurological disorders and treatments 27
- Transcranial Magnetic Stimulation Studies 13
- Traumatic Brain Injury and Neurovascular Disturbances 13
- Developmental Neuroscience top 5%
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- Muscle activation and electromyography studies 23
Charles Y. Liu
256 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Cognitive Neuroscience 1.6k
- Cellular and Molecular Neuroscience 1.4k
- Neurology 1.0k
- Neurology 371
- Developmental Neuroscience 100
Countries citing papers authored by Charles Y. Liu
This map shows the geographic impact of Charles Y. Liu'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 Charles Y. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Y. Liu more than expected).
Fields of papers citing papers by Charles Y. Liu
This network shows the impact of papers produced by Charles Y. Liu. 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 Charles Y. Liu. The network helps show where Charles Y. Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Charles Y. Liu, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 22 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 8 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 50 | |
| 13 | 2020 | 23 | |
| 14 | 2018 | 98 | |
| 15 | 2017 | 6 | |
| 16 | 2017 | 34 | |
| 17 | 2016 | 14 | |
| 18 | Decoding motor imagery from the posterior parietal cortex of a tetraplegic humanbreakdown → | 2015 | 387 |
| 19 | 2003 | 31 | |
| 20 | MAXBAND-86: Program for optimizing left-turn phase sequence in multiarterial closed networks. | 1988 | 39 |
About Charles Y. Liu
Charles Y. Liu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 282 papers that have together received 4.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (80 papers), Neuroscience and Neural Engineering (68 papers), Neural dynamics and brain function (33 papers), Neurological disorders and treatments (27 papers), Muscle activation and electromyography studies (23 papers), Transcranial Magnetic Stimulation Studies (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (13 papers) and Functional Brain Connectivity Studies (12 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Cellular and Molecular Neuroscience (1.4k citations) and Neurology (1.0k citations). Charles Y. Liu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Michael L.J. Apuzzo, Brian Lee, Spencer Kellis, Richard A. Andersen, S. Leary, Kelsie Pejsa, Arun Paul Amar, Gabriel Zada, Michael Y. Wang and Christian Klaes. Their work appears in journals such as Science, Journal of the American Chemical Society and Nature Communications.
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.