Different latent variables learning in variational autoencoder is a research paper published in 2017 4th International Conference on Information, Cybernetics and Computational Social Systems (ICCSS) (2017). On theSindex it has a DataRank of 0.593. It has been cited 6 times, with 6 citing works in its 1-hop citation network.
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
0.292
From this paper's citation signal
Citation Network Contribution
0.301
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 6 citers.
FWCI
0.16
Citation Percentile
0.5%
Citation Trend
Fields of Study
Keywords