Squeeze-and-Excitation Networks is a research paper published in IEEE Transactions on Pattern Analysis and Machine Intelligence (2020). On theSindex it has a DataRank of 1.4. It has been cited 12,393 times.
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
1.4
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 Natural Science Foundation of China
Grant: 61632003
National Natural Science Foundation of China
Grant: 61620106003
National Natural Science Foundation of China
Grant: 61672502
National Natural Science Foundation of China
Grant: 61571439
National Key R&D Program of China
Grant: 2017YFB1002701
Macao FDCT
Grant: 068/2015/A2
EPSRC AIMS
Grant: CDT EP/L015897/1
FWCI
981.96
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals