(†共同一作,*通讯作者):
1. Li, G.-Y.* et al.; Supershear surface waves reveal prestress and anisotropy of soft materials, Journal of the Mechanics and Physics of Solids, 2022, 169: 105085.
2. Li, G.-Y. et al.; Backward Mach cone of shear waves induced by a moving force in soft anisotropic materials, Journal of the Mechanics and Physics of Solids, 2020, 138: 103896.
3. Li, G.-Y. et al.; Non-leaky modes and bandgaps of surface acoustic waves in wrinkled stiff-film/compliant-substrate bilayers, Journal of the Mechanics and Physics of Solids, 2018, 112: 239-252.
4. Li, G.-Y. et al.; Guided waves in pre-stressed hyperelastic plates and tubes: Application to the ultrasound elastography of thin-walled soft materials, Journal of the Mechanics and Physics of Solids, 2017, 102: 67-79.
5. Li, G.-Y. et al.; Elastic Cherenkov effects in transversely isotropic soft materials-I: Theoretical analysis, simulations and inverse method, Journal of the Mechanics and Physics of Solids, 2016, 96: 388-410.
6. Li, G.-Y. et al.; Elastic Cherenkov effects in transversely isotropic soft materials-II: Ex vivo and in vivo experiments, Journal of the Mechanics and Physics of Solids, 2016, 94: 181-190.
7. Zhang, Z.; Li, G.-Y.* et al.; Noninvasive measurement of local stress inside soft materials with programmed shear waves, Science Advances, 2023, 9: eadd4082.
8. Feng, X.†; Li, G.-Y.† et al.; Ultra-wideband optical coherence elastography from acoustic to ultrasonic frequencies, Nature Communications, 2023, 14: 4949.
9. Yin, Z., Li, G.-Y.* et al.; SWENet: A Physics-Informed Deep Neural Network (PINN) for Shear Wave Elastography, IEEE Transactions on Medical Imaging, 2024, 43: 1434-1448.
10. Li, G.-Y.†* et al.; Arterial stiffness probed by dynamic ultrasound elastography characterizes waveform of blood pressure, IEEE Transactions on Medical Imaging, 2022, 41(6): 1510-1519.
11. Jiang, Y.†; Li, G.-Y.† et al.; Characterization of the nonlinear elastic properties of soft tissues using the supersonic shear imaging (SSI) technique: Inverse method, ex vivo and in vivo experiments, Medical Image Analysis, 2015, 20(1): 97-111.