Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks is a research paper published in PLoS ONE (2020). On theSindex it has a DataRank of 3.4. It has been cited 105 times, with 90 citing works in its 1-hop citation network.
Scored on demand from live citation data
Repositories this paper deposited data in (declared in PubMed).
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
0.700
From this paper's citation signal
Citation Network Contribution
2.7
From 72 citing papers with measurable signal
Ranked by each citer's contribution to N(p) β log1p(Cq) divided by its reference count β out of 90 citers.
Ministry of Education, Culture, Sports, Science and Technology
Grant: 17K09070
FWCI
9.09
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals