Enhanced Recognition of Amputated Wrist and Hand Movements by Deep Learning Method Using Multimodal Fusion of Electromyography and Electroencephalography is a research paper published in Sensors (2022). On theSindex it has a DataRank of 0.494. It has been cited 26 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.494
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Research Foundation of Korea
Grant: 2020R1A6A1A03047902
Korea government (Ministry of Science and ICT, MSIT)
Grant: 2020R1A2C2005385, 2020R1A2C2004764
Korean government (MSIT, the Ministry of Trade, Industry and Energy, the Ministry of Health & Welfare, and the Ministry of Food and Drug Safety)
Grant: 202017D01
FWCI
1.65
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords