Nonnegative Matrix Factorization With Data-Guided Constraints For Hyperspectral Unmixing is a research paper published in Remote Sensing (2017). On theSindex it has a DataRank of 0.772. It has been cited 12 times, with 9 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
0.385
From this paper's citation signal
Citation Network Contribution
0.388
From 7 citing papers with measurable signal
National Nature Science Foundation of China
Grant: 61571170
National Nature Science Foundation of China
Grant: 61671408
Joint Funds of the Ministry of Education of China
Grant: 6141A02022314