A noninvasive method for determining elastic parameters of valve tissue using physics-informed neural networks is a research paper published in Acta Biomaterialia (2025). On theSindex it has a DataRank of 0.165. It has been cited 2 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?
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Base Score Contribution
0.165
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 Institute of General Medical Sciences
Grant: 2R01GM083925
U.S. Department of Energy
Grant: DE-SC0025592
U.S. Department of Energy
Grant: DE-SC0025593
National Science Foundation
Grant: DMS-2347833
National Heart, Lung, and Blood Institute
Grant: T32 HL007915
National Heart, Lung, and Blood Institute
Grant: K25 HL168235
National Heart, Lung, and Blood Institute
Grant: R01 HL153166
National Heart, Lung, and Blood Institute
Grant: R01 HL163202
NIGMS NIH HHS
Grant: R01 GM083925
National Institutes of Health
Children's Hospital of Philadelphia
FWCI
0.87
Citation Percentile
0.7%
Citation Trend
Fields of Study
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Keywords