Sheng Ge
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Human-Computer Interaction top 10%
Papers in
-
- EEG and Brain-Computer Interfaces 35
- Neural dynamics and brain function 13
- Functional Brain Connectivity Studies 8
- Visual perception and processing mechanisms 7
- Journals
- IEEE Journal of Biomedical and Health Informatics (8 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (5 papers)Scientific Reports (2 papers)Journal of Applied Physics (2 papers)Frontiers in Behavioral Neuroscience (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Sheng Ge
61 papers receiving 640 citations
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 507
- Human-Computer Interaction 53
- Signal Processing 89
- Cellular and Molecular Neuroscience 149
- Experimental and Cognitive Psychology 81
Countries citing papers authored by Sheng Ge
This map shows the geographic impact of Sheng Ge'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 Sheng Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Ge more than expected).
Fields of papers citing papers by Sheng Ge
This network shows the impact of papers produced by Sheng Ge. 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 Sheng Ge. The network helps show where Sheng Ge may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sheng Ge, 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 | 2024 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 27 | |
| 10 | 2021 | 6 | |
| 11 | 2019 | 20 | |
| 12 | 2018 | 4 | |
| 13 | 2018 | 2 | |
| 14 | 2017 | 13 | |
| 15 | 2014 | 14 | |
| 16 | 2014 | 7 | |
| 17 | 2011 | 1 | |
| 18 | 2010 | 1 | |
| 19 | NIRS measurement of hemodynamic evoked responses in the primary sensorimotor cortex. | 2007 | 1 |
| 20 | The proposal of a neuron model in consideration of facilitation and fatigue (特集 フィジオームに向けた生体工学) | 2007 | 1 |
About Sheng Ge
Sheng Ge is a scholar working on Cognitive Neuroscience, Neurology, Signal Processing, Cellular and Molecular Neuroscience and Social Psychology, having authored 69 papers that have together received 645 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (35 papers), Neural dynamics and brain function (13 papers), Neuroscience and Neural Engineering (12 papers), Blind Source Separation Techniques (11 papers), Non-Invasive Vital Sign Monitoring (8 papers), Functional Brain Connectivity Studies (8 papers), Advanced Memory and Neural Computing (7 papers) and Visual perception and processing mechanisms (7 papers). The work is most often cited by research in Cognitive Neuroscience (507 citations), Human-Computer Interaction (53 citations), Signal Processing (89 citations), Cellular and Molecular Neuroscience (149 citations) and Experimental and Cognitive Psychology (81 citations). Sheng Ge has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Pan Lin, Yue Leng, Dongchuan Yu, Wenming Zheng, Junfeng Gao, Keiji Iramina, Haixian Wang, Yuan Zong, Ruimin Wang and Zhen Cui. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Scientific Reports, Journal of Applied Physics and Frontiers in Behavioral Neuroscience.
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.