Yali Liu
- Neurology top 1%
- Botulinum Toxin and Related Neurological Disorders 5
- Transcranial Magnetic Stimulation Studies 4
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery 19
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 4
- Biomedical Engineering top 10%
- Prosthetics and Rehabilitation Robotics 23
- Muscle activation and electromyography studies 16
- Neurology top 10%
- Botulinum Toxin and Related Neurological Disorders 5
- Transcranial Magnetic Stimulation Studies 4
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- Balance, Gait, and Falls Prevention 5
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- Spinal Cord Injury Research 4
- Co-authors
- Ulf ZiemannQiuzhi SongMaría AvellóJohn H. T. LuongLinhong JiE. SacherDe‐Quan YangSufeng Zhang
- Journals
- SHILAP Revista de lepidopterología (1 paper)The Journal of Physiology (1 paper)Bioresource Technology (1 paper)
In The Last Decade
Yali Liu
87 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 158
- Neurology 560
- Rehabilitation 146
- Cognitive Neuroscience 371
- Biomedical Engineering 477
- Neurology 115
Countries citing papers authored by Yali Liu
This map shows the geographic impact of Yali 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 Yali Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yali Liu more than expected).
Fields of papers citing papers by Yali Liu
This network shows the impact of papers produced by Yali 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 Yali Liu. The network helps show where Yali Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yali 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 5 | |
| 16 | 2019 | 1 | |
| 17 | 2019 | 5 | |
| 18 | Effectiveness of Tai Chi in Fall Prevention and Balance Function in the Elderly: A Meta-Analysis | 2013 | 2 |
| 19 | Fault Diagnosis of Low Voltage Electrical Equipment Based on Rough Set Theory | 2012 | 0 |
| 20 | Needs of Rehabilitation of Stroke Patients:Investigation in Wugang Community | 2012 | 1 |
About Yali Liu
Yali Liu is a scholar working on Rehabilitation, Physical Therapy, Sports Therapy and Rehabilitation and Biomedical Engineering, having authored 102 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (23 papers), Stroke Rehabilitation and Recovery (19 papers), Muscle activation and electromyography studies (16 papers), Botulinum Toxin and Related Neurological Disorders (5 papers), Balance, Gait, and Falls Prevention (5 papers), Spinal Cord Injury Research (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Transcranial Magnetic Stimulation Studies (4 papers). The work is most often cited by research in Neurology (560 citations), Rehabilitation (146 citations) and Cognitive Neuroscience (371 citations). Yali Liu has collaborated with scholars based in China, Canada and Germany. Frequent co-authors include Ulf Ziemann, Qiuzhi Song, María Avelló, John H. T. Luong, Linhong Ji, E. Sacher, De‐Quan Yang, Sufeng Zhang, Can Wang and Lei Li. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Bioresource Technology.
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.