Regularized Wasserstein Means for Aligning Distributional Data is a research paper published in 华中农业大学学报 (2020). On theSindex it has a DataRank of 0.330. It has been cited 8 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.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.330
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 →NIA NIH HHS
Grant: RF1 AG051710
NIBIB NIH HHS
Grant: R01 EB025032
National Institutes of Health
Grant: 3R01EB025032-04S1
Influence of APOE4 Genotype on Neonatal Cortical Morphology
National Institutes of Health
Grant: 1RF1AG051710-01
Multi-Source Sparse Learning to Identify MCI and Predict Decline
FWCI
0.92
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords