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Cited by in F6Publishing
For: Bazkiaei AK, Shirazi KH, Shishesaz M. A framework for model base hyper-elastic material simulation. J Rubber Res 2020;23:287-99. [DOI: 10.1007/s42464-020-00057-5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Bastos G, Sales L, Di Cesare N, Tayeb A, Le Cam J. Inverse-Pagerank-particle swarm optimisation for inverse identification of hyperelastic models: a feasibility study. J Rubber Res 2021;24:447-60. [DOI: 10.1007/s42464-021-00113-8] [Reference Citation Analysis]
2 Bazkiaei AK, Shirazi KH, Shishesaz M. Thermo-hyper-viscoelastic analysis of a rubber cylinder under cyclic deformation. J Rubber Res 2021;24:13-26. [DOI: 10.1007/s42464-020-00068-2] [Reference Citation Analysis]
3 Xia L, Hu Z, Sun L. Multiscale numerical modeling of magneto-hyperelasticity of magnetorheological elastomeric composites. Composites Science and Technology 2022. [DOI: 10.1016/j.compscitech.2022.109443] [Reference Citation Analysis]
4 Hou J, Lu X, Zhang K, Jing Y, Zhang Z, You J, Li Q. Parameters Identification of Rubber-like Hyperelastic Material Based on General Regression Neural Network. Materials (Basel) 2022;15:3776. [PMID: 35683072 DOI: 10.3390/ma15113776] [Reference Citation Analysis]
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