Unsupervised cross-domain translation via deep learning and adversarial attention neural networks and application to music-inspired protein designs is a research paper published in Patterns (2023). On theSindex it has a DataRank of 0.425. It has been cited 16 times.
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.425
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 →National Institutes of Health
Grant: 1R01AR077793
National Institutes of Health
Grant: U01EB014976
Office of Naval Research
Grant: N00014-19-1-2375
Office of Naval Research
Grant: N00014-20-1-2189
Army Research Laboratory
Grant: W911NF-21-1-0178
Army Research Laboratory
Grant: W911NF1920098
National Institutes of Health
Grant: 5R01AR077793-02
Multiscale models of fibrous interface mechanics
National Institutes of Health
Grant: 5U01EB014976-03
Models to predict protein biomaterial performance
Army Research Office
USDA ARS
FWCI
1.47
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords