Huang S.#, Yao H.*, Lu Z, Tian X., Zheng Y., Wang R., Luo S., Feng J., 2020. High-resolution 3-D shear-wave velocity model of the Tibetan Plateau: implications for crustal deformation and porphyry Cu deposit formation, J. Geophys. Res.:Solid Earth,125(7), e2019JB019215, https://doi.org/10.1029/2019JB019215
Hu S.##, Luo S.##, Yao H. 2020. The frequency-Bessel Spectrograms of multi-component cross-correlation functions from seismic ambient noise. J. Geophys. Res., 125(8), e2020JB019630, https://doi.org/10.1029/2020JB019630
Yang Y.#, Hu S.*, Yao H., Fang L., Wu J., 2020. Crustal shear wave velocity and radial anisotropy in the Xiaojiang fault zone system (SE Tibet) revealed by ambient noise interferometry. Tectonophysics,792, 228594, https://doi.org/10.1016/j.tecto.2020.228594
Zhang Y.#, Yao H.*, Xu M., 2020. Upper Mantle Shear-Wave Velocity Structure of Southeastern China: Seismic Evidence for Magma Activities in the Late Mesozoic to the Cenozoic, Geochemistry, Geophysics, Geosystems, 21(8), e2020GC009103, https://doi.org/10.1029/2020GC009103
姚华建,2020. 中国川滇地区多尺度公共速度结构模型构建:思路与进展,《中国科学:地球科学》(邀请论文), 50, doi: 10.1360/SSTe-2020-0106Yao H., 2020. Building the multi-scale community velocity model in the Sichuan-Yunnan area, China: Strategies and progresses, Science China Earth Sciences (invited), 63(9), https://doi.org/10.1007/s11430-020-9645-3
Wang Q., Yao H., Monitoring of velocity changes based on seismic ambient noise: a brief review and perspective, Earth and Planetary Physics, 4: 532–542, doi: 10.26464/epp2020048
Tian, X.,W. Zhang, X. Zhang, J. Zhang, Q. Zhang, X. Wang, and Q. Guo. 2020, Comparison of single-trace and multiple-trace polarity determination for surface microseismic data with deep learning. Seismological Research Letters, https://doi.org/10.1785/0220190353
Kuang, W., and J. Zhang. 2020, Direct stress field estimation through waveform matching. Geophysical Journal International, 221, 853-856. https://doi.org/10.1093/gji/ggaa034
Zhang, X., J. Zhang, C. Yuan, S. Liu, Z. Chen, W. Li. 2020, Locating induced earthquakes with a network of seismic stations in Oklahoma via a deep learning method. Scientific Reports,10, 1941. https://doi.org/10.1038/s41598-020-58908-5.
Jiang, W., C. A. Zelt, and J. Zhang. 2020, Detecting an underground tunnel by applying joint traveltime and waveform inversion. Journal of Applied Geophysics, 174, 103957.
Yuan, C., X. Zhang, X. Jia, and J. Zhang, 2020, Time-lapse Velocity Imaging via Deep Learning: Geophysical Journal International, 220, 1228-1241. https://doi.org/10.1093/gji/ggz511
Huang, C.; Leng, W.*; Wu, Z.; The continually stable subduction, iron-spin transition and the formation of LLSVPs from subducted oceanic crust, Journal of Geophysical Research-Solid Earth, 2020, 125.
Wang, Wenzhong; Huang, Shichun; Huang, Fang; Zhao, Xinmiao; Wu, Zhongqing. Equilibrium inter-mineral titanium isotope fractionation: Implication for high-temperature titanium isotope geochemistry, Geochimica et Cosmochimica Act, 269, 540-553.
Wang, Wenzhong; Xu, Yinhan; Sun, Daoyuan; Ni, Sidao; Wentzcovitch, Renata; Wu, Zhongqing. Velocity and density characteristics of subducted oceanic crust and the origin of lower-mantle heterogeneities, Nature Communications, 11 (1), 1-8.
Wang, Wenzhong; Xu, Yinhan; Sun, Daoyuan; Ni, Sidao; Wentzcovitch, Renata; Wu, Zhongqing. Velocity and density characteristics of subducted oceanic crust and the origin of lower-mantle heterogeneities, Nature Communications, 11 (1), 1-8.