Vision and Attention Theory Based Sampling for Continuous Facial Emotion Recognition is a research paper published in IEEE Transactions on Affective Computing (2014). On theSindex it has a DataRank of 0.598. It has been cited 53 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
0.598
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 →US National Science Foundation (NSF)
Grant: 0727129
US National Science Foundation (NSF)
Grant: 0905671
NSF IGERT: Video Bioinformatics
Grant: DGE 0903667
FWCI
5.12
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords