Standout Papers

Deep-learning inversion: A next-generation seismic velocity model building method 2019 2026 2021 2023 351
  1. Deep-learning inversion: A next-generation seismic velocity model building method (2019)
    Fangshu Yang, Jianwei Ma Geophysics

Immediate Impact

1 from Science/Nature 11 standout
Sub-graph 1 of 5

Citing Papers

Deep learning in computational mechanics: a review
2024 Standout
CO2 sequestration in subsurface geological formations: A review of trapping mechanisms and monitoring techniques
2024 Standout
1 intermediate paper

Works of Fangshu Yang being referenced

FWIGAN: Full‐Waveform Inversion via a Physics‐Informed Generative Adversarial Network
2023
Deep-learning inversion: A next-generation seismic velocity model building method
2019 Standout
and 1 more

Author Peers

Author Last Decade Papers Cites
Fangshu Yang 262 411 90 124 9 483
Taylor Dahlke 282 434 121 132 4 485
Senlin Yang 342 479 123 121 22 555
Qie Zhang 148 398 64 82 10 447
Oleg Ovcharenko 241 409 124 102 24 447
Xinfei Yan 209 324 76 149 27 415
Phil D. Anno 202 452 34 126 10 526
J. R. Resnick 174 360 31 75 7 447
Alexander Mihai Popovici 154 411 38 82 21 508
G. C. Fehmers 215 400 32 116 8 416
Fuhao Qin 194 387 22 79 11 452

All Works

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Rankless by CCL
2026