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Cited by in F6Publishing
For: Cao Y, Zheng Y, Li G, Jiang Y. Elastodiagnosis of diseases: A review. Extreme Mechanics Letters 2019;27:102-23. [DOI: 10.1016/j.eml.2019.01.009] [Cited by in Crossref: 9] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Il’íchev AT, Shargatov VA, Fu YB. Characterization and dynamical stability of fully nonlinear strain solitary waves in a fluid-filled hyperelastic membrane tube. Acta Mech 2020;231:4095-110. [DOI: 10.1007/s00707-020-02754-z] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 3.5] [Reference Citation Analysis]
2 Huang D, Huang Y, Xiao Y, Yang X, Lin H, Feng G, Zhu X, Zhang X. Viscoelasticity in natural tissues and engineered scaffolds for tissue reconstruction. Acta Biomater 2019;97:74-92. [PMID: 31400521 DOI: 10.1016/j.actbio.2019.08.013] [Cited by in Crossref: 49] [Cited by in F6Publishing: 37] [Article Influence: 16.3] [Reference Citation Analysis]
3 Sjöstrand S, Meirza B, Grassi L, Svensson I, Camargo LC, Pavan TZ, Evertsson M. Tuning Viscoelasticity with Minor Changes in Speed of Sound in an Ultrasound Phantom Material. Ultrasound in Medicine & Biology 2020;46:2070-8. [DOI: 10.1016/j.ultrasmedbio.2020.03.028] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
4 Zheng Y, Jiang Y, Cao Y. A porohyperviscoelastic model for the shear wave elastography of the liver. Journal of the Mechanics and Physics of Solids 2021;150:104339. [DOI: 10.1016/j.jmps.2021.104339] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
5 Vedeneev V. Nonlinear steady states of hyperelastic membrane tubes conveying a viscous non-Newtonian fluid. Journal of Fluids and Structures 2020;98:103113. [DOI: 10.1016/j.jfluidstructs.2020.103113] [Cited by in Crossref: 4] [Article Influence: 2.0] [Reference Citation Analysis]
6 Ye S, Li M, Zhang K, Zhao H, Feng X. Extracting the properties of constituent phases from the overall response of composites: A deep neural network method. Composite Structures 2022;293:115707. [DOI: 10.1016/j.compstruct.2022.115707] [Reference Citation Analysis]