1. Zhou, J., Li, Z.*, & Chen, X.*. (2023). Extending the frequency band of surface-wave dispersion curves by combining ambient noise and earthquake data and self-adaptive normalization. Journal of Geophysical Research: Solid Earth, 128, e2022JB026040. https://doi.org/10.1029/2022JB026040
2. Li, Z.*, Dong, S., Shi, C., Fu, L., Pan, L., Wang, J., & Chen, X.*. (2023) Multiple Voronoi partition improves multimodal dispersion imaging from ambient noise: A case study of Lasso dense array. Journal of Geophysical Research: Solid Earth, 128, e2022JB026081.
3. Dong, S., Li, Z.*, Hu, F., Yu, Z., & Chen, X. (2023). TraceNet: An Effective Deep‐Learning‐Based Method for Baseline Correction of Near‐Field Acceleration Records. Seismological Research Letters.
4. Guo, W., Li, Z.*, Zhao, S., & Chen, X. (2023). Characterizing the shallow structure with the multimodal dispersion curves and the body wave refraction traveltimes from deep seismic sounding data. Frontiers in Earth Science, 10, 1945.
5. Chen, J., Pan, L., Li, Z., & Chen, X.*. (2022). Continental Reworking in the Eastern South China Block and its Adjacent Areas Revealed by F‐J Multimodal Ambient Noise Tomography. Journal of Geophysical Research: Solid Earth, e2022JB024776.
6. Yang, B., Li, Z., Zeng, L., & Chen, X.*. (2022). Simulation of thermoelastic wave propagation in 3-D multilayered half-space media. Geophysical Journal International, 232(2), 1408-1426.
7. Zhang, S., Zhang, G., Feng, X., Li, Z., Pan, L., Wang, J., & Chen, X*. (2022). A crustal LVZ in Iceland revealed by ambient noise multimodal surface wave tomography. Frontiers in Earth Science, 10, 1008354.
8. Shi, C., Ren, H., Li, Z., & Chen, X.*. (2022). Calculation of normal and leaky modes for horizontal stratified models based on a semi-analytical spectral element method. Geophysical Journal International, 230(3), 1928-1947.
9. Fu, L., Pan, L., Li, Z., Dong, S., Ma, Q., Chen, X.*. (2022) Improved High‐resolution 3D Vs Model of Long Beach, CA: Inversion of Multimodal Dispersion Curves from Ambient Noise of a Dense Array. Geophysical Research Letters. 49(4), e2021GL097619.
10. Li, Z.*, Shi, C., Ren, H., Chen, X.*. (2022) Multiple leaking mode dispersion observations and applications from ambient noise cross‐correlation in Oklahoma. Geophysical Research Letters.49(1), e2021GL096032.
11. Li, Z., Shi, C., & Chen, X.*. (2021). Constraints on crustal P wave structure with leaking mode dispersion curves. Geophysical Research Letters, 48, e2020GL091782. https://doi.org/10.1029/2020GL091782
12. Dong, S., Li, Z., Chen, X.*, Fu, L. (2021) DisperNet: An Effective Method of Extracting and Classifying the Dispersion Curves in the Frequency–Bessel Dispersion Spectrum. Bulletin of the Seismological Society of America. doi: https://doi.org/10.1785/0120210033
13. Li, Z., Zhou, J., Wu, G., Wang, J., Zhang, G., Dong, S., . . . , Chen, X.*. (2021). CC‐FJpy: A Python Package for Extracting Overtone Surface‐Wave Dispersion from Seismic Ambient‐Noise Cross Correlation. Seismological Research Letters, 92(5) :3179-3186. https://doi.org/10.1785/0220210042
14. Qian, Y.*, Li, Z., Chen, X. (2021). An Improved Method for Computing Broadband Green’s Functions of Surface Sources and Its Application to Inverting the Processes of the 2017 Xinmo Landslide. Seismological Research Letters, 92(5): 3113–3125. doi: https://doi.org/10.1785/0220200474
15. Li, Z., & Chen, X.*. (2020). An effective method to extract overtones of surface wave from array seismic records of earthquake events. Journal of Geophysical Research: Solid Earth, 125, e2019JB018511. https://doi.org/10.1029/2019JB018511
16. Yu, H., Zhang, W., Zhang, Z., Li, Z., Chen, X.*. (2020) Investigation on the Dynamic Rupture of the 1970 Ms 7.7 Tonghai, Yunnan, China, Earthquake on the Qujiang Fault. Bulletin of the Seismological Society of America, 110(2): 898–919. doi: https://doi.org/10.1785/0120190185
17. Zhang, W., Zhang, Z., Fu, H., Li, Z., Chen, X.*. (2019). Importance of spatial resolution in ground motion simulations with 3-D basins: An example using the Tangshan earthquake. Geophysical Research Letters, 46, 11915– 11924. https://doi.org/10.1029/2019GL084815