Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets is a research paper published in IEEE Transactions on Neural Networks and Learning Systems (2024). On theSindex it has a DataRank of 0. It has been cited 7 times.
Scored on demand from live citation data
Linked data & code
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.
National Science Foundation
Grant: 1934915
National Science Foundation
Grant: 2229659
U.S. Department of Energy
Grant: DE-SC0023715
National Institutes of Health
Grant: R01-CA240639
FWCI
1.08
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets