Hierarchical convolutional neural network via hierarchical cluster validity based visual tree learning is a research paper published in Neurocomputing (2020). On theSindex it has a DataRank of 0.801. It has been cited 16 times, with 16 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
0.425
From this paper's citation signal
Citation Network Contribution
0.376
From 13 citing papers with measurable signal
Fundamental Research Funds for the Central Universities
Grant: JB191505
National Natural Science Foundation of China
Grant: 61906143
National Natural Science Foundation of China
Grant: U1605252
National Natural Science Foundation of China
Grant: 61671339
National Natural Science Foundation of China
Grant: 61772402
National Natural Science Foundation of China
Grant: 61432014
National Natural Science Foundation of China
Grant: 61971331
China Postdoctoral Science Foundation
Grant: 2018M643584
National Key Research and Development Program of China
Grant: 2016QY01W0200
FWCI
1.11
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals