Automated atomic force microscopy analysis using convolutional and recurrent neural networks is a research paper published in Biophysical Journal (2025). On theSindex it has a DataRank of 0.312. It has been cited 7 times.
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Base Score Contribution
0.312
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 →US Department of Defense
Grant: S10 RR027609
US Department of Defense
Grant: T32 HD075735
US Department of Defense
Grant: W81XWH-20-1-0837
National Institute of Diabetes and Digestive and Kidney Diseases
Grant: R01 DK118222
National Institute of Diabetes and Digestive and Kidney Diseases
Grant: R01 DK131047
National Institutes of Health
National Institute of Child Health and Human Development
FWCI
4.00
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
AUTOMATED ATOMIC FORCE MICROSCOPY ANALYSIS USING CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS
AUTOMATED ATOMIC FORCE MICROSCOPY ANALYSIS USING CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS