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Xing, Guanchi, and Tieyuan Zhu, (2022). Decoupled Fréchet kernels based on a fractional viscoacoustic wave equation, Geophysics, v. 87 (1), pp. T61-T70, https://doi.org/10.1190/geo2021-0248.1.
Hone, S. and Tieyuan Zhu, (2021). Seismic Observations of Four Thunderstorms Using an Underground Fiber‐Optic Array, Seismological Society of America, v. 92 (4), pp. 2389-2398.
Huang, C. and Tieyuan Zhu, (2021). Data assimilated time-lapse viscoacoustic full-waveform inversion for monitoring CO2 geological storage, First International Meeting for Applied Geoscience & Energy Proceedings, pp. 3459-3463.
Ji, A., Tieyuan Zhu, H. Marin-Moreno, and X. Lei, (2021). How Gas Hydrate Saturation and Morphology Control Seismic Attenuation: A Case Study from the South Hydrate Ridge, Interpretation, v. 9 (2), pp 1-63, https://doi.org/10.1190/int-2020-0137.1.
Leong, Z. X. and Tieyuan Zhu, (2021). Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNet, Journal of Geophysical Research: Solid Earth, v. 126 (6), [e2020JB021047].
shen, J. and Tieyuan Zhu, (2021). Correlation between seismic noise variation and COVID-19 pandemic measures using recordings from Penn State FORESEE array, First International Meeting for Applied Geoscience & Energy Proceedings, pp. 3316-3320.
Shen, J. and Tieyuan Zhu, (2021). Seismic noise recorded by telecommunication fiber optics reveal the impact of COVID-19 measures on human activities, Earth and Space Science Open Archive, DOI:10.1002/essoar.10504512.2
Shen, J. and Tieyuan Zhu, (2021). Seismic Noise Recorded by Telecommunication Fiber Optics Reveals the Impact of COVID‐19 Measures on Human Activity, The Seismic Record, v. 1 (1), pp. 46-55.
Xian Leong, Z. and Tieyuan Zhu, (2021). Deep learning lunar penetrating radar inversion: An example from Chang’E-3, First International Meeting for Applied Geoscience & Energy Proceedings, pp. 1379-1383.
Xing, G. and Tieyuan Zhu, (2021). A viscoelastic model for seismic attenuation using fractal mechanical networks, Geophysical Journal International, v. 224 (3), pp. 1658-1669.
Zhu, Tieyuan, J. Shen, and E. R. Martin, (2021). Sensing Earth and environment dynamics by telecommunication fiber-optic sensors: An urban experiment in Pennsylvania, USA, Solid Earth, v. 12 (1), pp. 219-235.
Zhu, Tieyuan, J. Zhang, and Y. Lin, (2021). Ultra‐Thick Paleoregolith Layer Detected by Lunar Penetrating Radar: Implication for Fast Regolith Formation Between 3.6 and 2.35 Ga, Geophysical Research Letters, v. 48 (20), [e2021GL095282].
Guo, C., Tieyuan Zhu, Y Gao, S. Wu, and J. Sun, (2020). Aenet: Automatic picking of p-wave first arrivals using deep learning, IEEE Transactions on Geoscience and Remote Sensing, v. 59 (6), pp. 5293-5303.
Huang, C. and Tieyuan Zhu, (2020). Towards real-time monitoring: data assimilated time-lapse full waveform inversion for seismic velocity and uncertainty estimation, Geophysical Journal International, v. 223 (2), pp. 811-824.
Jakkampudi, S., J. Shen, W. Li, A. Dev, Tieyuan Zhu, and E. R. Martin, (2020). Footstep detection in urban seismic data with a convolutional neural network, The Leading Edge, v. 39 (9), pp. 654-660.
Liu, T., X. Liu, and Tieyuan Zhu, (2020). Joint analysis of P-wave velocity and resistivity for morphology identification and quantification of gas hydrate, Marine and Petroleum Geology, v. 112, [104036].
Shen, J. and Tieyuan Zhu, (2020). Seismic noises by infrastructure fiber optics reveal the impact of COVID-19 measures on human activities, Earth and Space Science Open Archive, DOI:10.1002/essoar.10504512.1 .
Wang, N., Tieyuan Zhu, H. Zhou, H. Chen, X. Zhao, and Y. Tian, (2020). Fractional Laplacians viscoacoustic wavefield modeling with k-space-based time-stepping error compensating scheme, Geophysics, v. 85 (1), pp. T1-T13.
Xing, G. and Tieyuan Zhu, (2020). Hessian-based multiparameter fractional viscoacoustic full-waveform inversion, SEG Technical Program Expanded Abstracts 2020, pp. 895-899.
Xing, G. and Tieyuan, (2020). A viscoelastic model for seismic attenuation using fractal mechanical networks, Geophysical Journal International, v. 224 (3), pp. 1658–1669, https://doi.org/10.1093/gji/ggaa549.
Bai, T., Tieyuan Zhu, and I. Tsvankin, (2019). Attenuation compensation for time-reversal imaging in VTI media, Geophysics, v. 84 (4), pp. C205-C216.
Huang, C. and Tieyuan Zhu, (2019). Passive seismic imaging of subsurface natural fractures: Application to Marcellus shale microseismic data, Geophysical Journal International, v. 218 (2), pp. 1087-1099.
Huang, C. and Tieyuan Zhu, (2019). Time-lapse full waveform inversion plus extended Kalman filter for high-resolution seismic models and uncertainty estimation, SEG Technical Program Expanded Abstracts 2019, pp. 5239-5244.
Shen, Y. K. Bao, D. Foster, D. Kumar, K. Innanen, M. Chapman, W. Hu, Tieyuan Zhu, M. Wang, B. Gurevich, R. M. Holt, and H. Zeng, (2019). Frequency-dependent seismic analysis: Data processing, modeling, and interpretation, The Leading Edge, v. 38 (7), pp. 556-557.
Wang, N., G. Xing, and Tieyuan Zhu, (2019). Accurately propagating P-and S-waves in attenuation media using spatial-independent-order decoupled fractional Laplacians, SEG Technical Program Expanded Abstracts 2019, pp. 3805-3809.
Wang, N., H. Zhou, and Tieyuan Zhu, (2019). Compensating time-stepping error in fractional Laplacians viscoacoustic wavefield modeling, SEG Technical Program Expanded Abstracts 2019, pp. 3810-3814
Wang, N., Tieyuan Zhu, H. Zhou, H. Chen, X. Zhao, and Y. Tian, (2019). Fractional Laplacians viscoacoustic wavefield modeling with k-space-based time-stepping error compensating scheme, Geophysics, v. 85 (1), pp. T1–T13, doi.org/10.1190/geo2019-0151.1.
Xing, G. and Tieyuan Zhu, (2019). Fréchet kernels based on a fractional viscoacoustic wave equation, SEG Technical Program Expanded Abstracts 2019, pp. 1455-1459.
Xing, G. and Tieyuan Zhu, (2019). Modeling Frequency‐Independent Q Viscoacoustic Wave Propagation in Heterogeneous Media, Journal of Geophysical Research: Solid Earth, v. 124 (11), pp. 11568-11584.
Zhu, Tieyuan and C. Huang, (2019). Hybrid multiplicative time-reversal imaging: Application to Marcellus shale microseismic data, SEG Technical Program Expanded Abstracts 2019, pp. 3111-3115.
Zhu, Tieyuan and D. J. Stensrud, (2019). Characterizing thunder‐induced ground motions using fiber‐optic distributed acoustic sensing array, Journal of Geophysical Research: Atmospheres, v.124 (23), pp. 12810-12823.
Zhu, Tieyuan and T. Bai, (2019). Efficient modeling of wave propagation in a vertical transversely isotropic attenuative medium based on fractional Laplacian, Geophysics, v. 84 (3), pp. T121-T131.
Zhu, Tieyuan, J. Ajo-Franklin, T. M. Daley, and C. Marone, (2019). Dynamics of geologic CO2 storage and plume motion revealed by seismic coda waves, Proceedings of the National Academy of Sciences, v. 116 (7), pp. 2464-2469.
Zhu, Tieyuan, J. Sun, D. Gei, J. M. Carcione, P. Cance, and C. Huang, (2019). Hybrid multiplicative time-reversal imaging reveals the evolution of microseismic events: Theory and field-data tests, Geophysics, v. 84 (3), pp. A31-V183, https://doi.org/10.1190/geo2018-0662.1.
Sun, J. and Tieyuan Zhu, (2018). Strategies for stable attenuation compensation in reverse‐time migration, Geophysical Prospecting, v. 66 (3), pp. 498-511.
Xue, Z., H. Baek, H. Zhang, Y. Zhao, Tieyuan Zhu, and S. Fomel, (2018). Solving fractional Laplacian viscoelastic wave equations using domain decomposition, SEG Technical Program Expanded Abstracts 2018, pp. 3943-3947.
Xue, Z., J. Sun, S. Fomel, and Tieyuan Zhu, (2018). Accelerating full-waveform inversion with attenuation compensation, Geophysics, v. 83 (1), pp. A13-A20.
Zhu, Tieyuan adn T. Bai, (2018). Modeling of wave propagation in a transversely isotropic attenuative medium based on fractional Laplacian, SEG Technical Program Expanded Abstracts 2018, pp. 3818-3822.
Zhu, Tieyuan, (2018). Passive seismic imaging of subwavelength natural fractures: Theory and 2-D synthetic and ultrasonic data tests, Geophysical Journal International, v. 216 (3), pp. 1831–1841, https://doi.org/10.1093/gji/ggy529.