Noise Suppression With Similarity-Based Self-Supervised Deep Learning is a research paper published in IEEE Transactions on Medical Imaging (2022). On theSindex it has a DataRank of 0.686. It has been cited 96 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
Base Score Contribution
0.686
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 βNIH/NCI
Grant: R01CA233888
NIH/NCI
Grant: R01CA237267
NIH/NCI
Grant: R21CA264772
NIH/NIBIB
Grant: R01EB026646
NIH/NIBIB
Grant: R01HL151561
NIH/NIBIB
Grant: R01EB031102
NCI NIH HHS
Grant: R01 CA250636
FWCI
11.57
Citation Percentile
1.0%
Influential Citations
12
Citation Trend
Fields of Study
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