Fei Meng
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
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- Neuroscience and Neural Engineering
Papers in
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- Pluripotent Stem Cells Research 3
- Epigenetics and DNA Methylation 2
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- Nerve injury and regeneration 1
- Co-authors
- Raymond Kai‐Yu Tong (4 shared papers)Shangkai Gao (3 shared papers)Wing-kin Tam (1 shared paper)Wan-wa Wong (3 shared papers)Suk‐Tak Chan (3 shared papers)Xiaorong Gao (2 shared papers)Xiaorong Gao (1 shared paper)Yijun Wang (1 shared paper)
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)Progress in Natural Science Materials International (1 paper)The EMBO Journal (1 paper)Cellular and Molecular Neurobiology (1 paper)BMB Reports (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Fei Meng
12 papers receiving 245 citations
Peers
Comparison fields: 5 of 57
- Cognitive Neuroscience 172
- Cellular and Molecular Neuroscience 107
- Human-Computer Interaction 25
- Neurology 26
- Signal Processing 30
Countries citing papers authored by Fei Meng
This map shows the geographic impact of Fei Meng'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 Fei Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Meng more than expected).
Fields of papers citing papers by Fei Meng
This network shows the impact of papers produced by Fei Meng. 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 Fei Meng. The network helps show where Fei Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Meng, 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 | 2011 | 94 | |
| 2 | 2008 | 31 | |
| 3 | 2008 | 31 | |
| 4 | 2020 | 24 | |
| 5 | 2007 | 14 | |
| 6 | 2020 | 12 | |
| 7 | 2013 | 11 | |
| 8 | 2020 | 11 | |
| 9 | 2011 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2020 | 3 | |
| 12 | 2023 | 2 |
About Fei Meng
Fei Meng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience and Rehabilitation, having authored 12 papers that have together received 249 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Pluripotent Stem Cells Research (3 papers), Epigenetics and DNA Methylation (2 papers), Advanced Memory and Neural Computing (2 papers), Stroke Rehabilitation and Recovery (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Cognitive Neuroscience (172 citations), Cellular and Molecular Neuroscience (107 citations), Human-Computer Interaction (25 citations), Neurology (26 citations) and Signal Processing (30 citations). Fei Meng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Raymond Kai‐Yu Tong, Shangkai Gao, Wing-kin Tam, Wan-wa Wong, Suk‐Tak Chan, Xiaorong Gao, Xiaorong Gao, Yijun Wang, Mengdan Zhang and Hui Zheng. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Progress in Natural Science Materials International, The EMBO Journal, Cellular and Molecular Neurobiology and BMB Reports.
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.