Liang Peng
- Rehabilitation top 1%
- Stroke Rehabilitation and Recovery 34
- Biomedical Engineering top 5%
- Muscle activation and electromyography studies 35
- Prosthetics and Rehabilitation Robotics 22
- Gait Recognition and Analysis 5
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 19
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems 5
- Hardware and Architecture top 10%
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- Botulinum Toxin and Related Neurological Disorders 8
- Parkinson's Disease Mechanisms and Treatments 4
Liang Peng
76 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Rehabilitation 331
- Biomedical Engineering 559
- Cognitive Neuroscience 181
- Human-Computer Interaction 50
- Hardware and Architecture 48
Countries citing papers authored by Liang Peng
This map shows the geographic impact of Liang Peng'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 Liang Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Peng more than expected).
Fields of papers citing papers by Liang Peng
This network shows the impact of papers produced by Liang Peng. 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 Liang Peng. The network helps show where Liang Peng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang Peng, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 20 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 54 | |
| 16 | 2020 | 17 | |
| 17 | 2019 | 8 | |
| 18 | 2018 | 48 | |
| 19 | A new multi-scale representation approach for line features | 2012 | 1 |
| 20 | A new Autonomous Underwater Robotic Fish designed for water quality monitoring | 2012 | 3 |
About Liang Peng
Liang Peng is a scholar working on Rehabilitation, Cognitive Neuroscience, Human-Computer Interaction, Biomedical Engineering and Neurology, having authored 84 papers that have together received 1.0k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (35 papers), Stroke Rehabilitation and Recovery (34 papers), Prosthetics and Rehabilitation Robotics (22 papers), EEG and Brain-Computer Interfaces (19 papers), Botulinum Toxin and Related Neurological Disorders (8 papers), Gait Recognition and Analysis (5 papers), Hand Gesture Recognition Systems (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Rehabilitation (331 citations), Biomedical Engineering (559 citations), Cognitive Neuroscience (181 citations), Human-Computer Interaction (50 citations) and Hardware and Architecture (48 citations). Liang Peng has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Zeng‐Guang Hou, Weiqun Wang, Chen Wang, Long Cheng, Lina Tong, Tairen Sun, Yongping Pan, Jun Zhao, Yixiong Chen and Jingyue Li. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Sensors Journal, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Systems Man and Cybernetics Systems and Science China Information Sciences.
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.