| A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis L Liang, M Liu, C Martin, W Sun Journal of The Royal Society Interface 15 (138), 20170844, 2018 | 578 | 2018 |
| Multiaxial mechanical behavior of biological materials MS Sacks, W Sun Annual review of biomedical engineering 5 (1), 251-284, 2003 | 389 | 2003 |
| Virtual heart valve H Cao, W Sun US Patent 8,219,229, 2012 | 356 | 2012 |
| Biomechanical analysis of silicon microelectrode-induced strain in the brain H Lee, RV Bellamkonda, W Sun, ME Levenston Journal of neural engineering 2 (4), 81, 2005 | 356 | 2005 |
| Cloud data modelling employing a unified, non-redundant triangular mesh W Sun, C Bradley, YF Zhang, HT Loh Computer-Aided Design 33 (2), 183-193, 2001 | 218 | 2001 |
| Effects of boundary conditions on the estimation of the planar biaxial mechanical properties of soft tissues W Sun, MS Sacks, MJ Scott | 217 | 2005 |
| Simulated bioprosthetic heart valve deformation under quasi-static loading W Sun, A Abad, MS Sacks | 214 | 2005 |
| Finite element implementation of a generalized Fung-elastic constitutive model for planar soft tissues W Sun, MS Sacks Biomechanics and modeling in mechanobiology 4 (2), 190-199, 2005 | 214 | 2005 |
| A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm L Liang, M Liu, C Martin, JA Elefteriades, W Sun Biomechanics and modeling in mechanobiology 16 (5), 1519-1533, 2017 | 196 | 2017 |
| Significant differences in the material properties between aged human and porcine aortic tissues C Martin, T Pham, W Sun European Journal of Cardio-Thoracic Surgery 40 (1), 28-34, 2011 | 178 | 2011 |
| Fully-coupled fluid-structure interaction simulation of the aortic and mitral valves in a realistic 3D left ventricle model W Mao, A Caballero, R McKay, C Primiano, W Sun PloS one 12 (9), e0184729, 2017 | 172 | 2017 |
| Simulated elliptical bioprosthetic valve deformation: implications for asymmetric transcatheter valve deployment W Sun, K Li, E Sirois Journal of biomechanics 43 (16), 3085-3090, 2010 | 161 | 2010 |
| A generic physics-informed neural network-based constitutive model for soft biological tissues M Liu, L Liang, W Sun Computer methods in applied mechanics and engineering 372, 113402, 2020 | 158 | 2020 |
| Patient-specific modeling of biomechanical interaction in transcatheter aortic valve deployment Q Wang, E Sirois, W Sun Journal of biomechanics 45 (11), 1965-1971, 2012 | 157 | 2012 |
| Finite element modeling of mitral valve dynamic deformation using patient-specific multi-slices computed tomography scans Q Wang, W Sun Annals of biomedical engineering 41 (1), 142-153, 2013 | 155 | 2013 |
| Comparison of transcatheter aortic valve and surgical bioprosthetic valve durability: a fatigue simulation study C Martin, W Sun Journal of biomechanics 48 (12), 3026-3034, 2015 | 152 | 2015 |
| Low gradient prosthetic heart valve H Cao, W Sun US Patent 9,554,901, 2017 | 151 | 2017 |
| Numerical approximation of tangent moduli for finite element implementations of nonlinear hyperelastic material models W Sun, EL Chaikof, ME Levenston | 149 | 2008 |
| Biomechanical characterization of aortic valve tissue in humans and common animal models C Martin, W Sun Journal of biomedical materials research Part A 100 (6), 1591-1599, 2012 | 148 | 2012 |
| A feasibility study of deep learning for predicting hemodynamics of human thoracic aorta L Liang, W Mao, W Sun Journal of biomechanics 99, 109544, 2020 | 147 | 2020 |
Minliang LiuTexas Tech University, Georgia Institute of TechnologyVerified email at ttu.edu
