| Enhancing resolution of digital rock images with Super Resolution Convolutional Neural Networks YD Wang, RT Armstrong, P Mostaghimi Journal of Petroleum Science and Engineering 182, 2019 | 86 | 2019 |
| Deep Learning in Pore Scale Imaging and Modeling YD Wang, MJ Blunt, RT Armstrong, P Mostaghimi Earth Science Reviews, 2021 | 73 | 2021 |
| Boosting Resolution and Recovering Texture of 2D and 3D micro‐CT Images with Deep Learning YD Wang, RT Armstrong, P Mostaghimi Water Resources Research, 2020 | 69 | 2020 |
| Deep Neural Networks for Improving Physical Accuracy of 2D and 3D Multi-Mineral Segmentation of Rock Micro-CT Images YD Wang, M Shabaninejad, RT Armstrong, P Mostaghimi Applied Soft Computing, 2021 | 58* | 2021 |
| Computations of permeability of large rock images by dual grid domain decomposition YD Wang, T Chung, RT Armstrong, JE McClure, P Mostaghimi Advances in water resources 126, 1-14, 2019 | 56 | 2019 |
| Approximating permeability of microcomputed-tomography images using elliptic flow equations T Chung, YD Wang, RT Armstrong, P Mostaghimi SPE Journal 24 (03), 1154-1163, 2019 | 50 | 2019 |
| DeePore: A deep learning workflow for rapid and comprehensive characterization of porous materials A Rabbani, M Babaei, R Shams, Y Da Wang, T Chung Advances in Water Resources 146, 103787, 2020 | 48 | 2020 |
| ML-LBM: predicting and accelerating steady state flow simulation in porous media with convolutional neural networks YD Wang, T Chung, RT Armstrong, P Mostaghimi Transport in Porous Media 138 (1), 49-75, 2021 | 39* | 2021 |
| Accelerated computation of relative permeability by coupled morphological and direct multiphase flow simulation YD Wang, T Chung, RT Armstrong, J McClure, T Ramstad, P Mostaghimi Journal of Computational Physics 401, 108966, 2020 | 37 | 2020 |
| In-situ hydrogen wettability characterisation for Underground Hydrogen Storage S Higgs, YD Wang, C Sun, J Ennis-King, SJ Jackson, RT Armstrong, ... International Journal of Hydrogen Energy, 2022 | 29 | 2022 |
| An innovative application of generative adversarial networks for physically accurate rock images with an unprecedented field of view Y Niu, YD Wang, P Mostaghimi, P Swietojanski, RT Armstrong Geophysical Research Letters 47 (23), e2020GL089029, 2020 | 28* | 2020 |
| Flow-based characterization of digital rock images using deep learning NJ Alqahtani, T Chung, YD Wang, RT Armstrong, P Swietojanski, ... SPE Journal 26 (04), 1800-1811, 2021 | 26 | 2021 |
| Voxel agglomeration for accelerated estimation of permeability from micro-CT images T Chung, Y Da Wang, RT Armstrong, P Mostaghimi Journal of Petroleum Science and Engineering 184, 106577, 2020 | 26 | 2020 |
| CNN-PFVS: integrating neural network and finite volume models to accelerate flow simulation on pore space images T Chung, Y Da Wang, RT Armstrong, P Mostaghimi Transport in Porous Media 135, 25-37, 2020 | 18 | 2020 |
| Geometrical-based generative adversarial network to enhance digital rock image quality Y Niu, YD Wang, P Mostaghimi, JE McClure, J Yin, RT Armstrong Physical Review Applied 15 (6), 064033, 2021 | 11 | 2021 |
| An innovative approach to relative permeability estimation of naturally fractured carbonate rocks AS Aljehani, Y Da Wang, SS Rahman Journal of Petroleum Science and Engineering 162, 309-324, 2018 | 11 | 2018 |
| A Diverse Super Resolution Dataset of Digital Rocks (DeepRock-SR): Sandstone, Carbonate, and Coal YD Wang, R Armstrong, P Mostaghimi Digital Rocks Portal, 2019 | 9* | 2019 |
| Super-resolved segmentation of X-ray images of carbonate rocks using deep learning NJ Alqahtani, Y Niu, YD Wang, T Chung, Z Lanetc, A Zhuravljov, ... Transport in Porous Media 143 (2), 497-525, 2022 | 8 | 2022 |
| Segmentation of X-ray images of rocks using deep learning I Ar Rushood, N Alqahtani, YD Wang, M Shabaninejad, R Armstrong, ... SPE Annual Technical Conference and Exhibition, 2020 | 8 | 2020 |
| Generalizable framework of unpaired domain transfer and deep learning for the processing of real-time synchrotron-based X-Ray microcomputed tomography images of complex structures K Tang, Y Da Wang, J McClure, C Chen, P Mostaghimi, RT Armstrong Physical Review Applied 17 (3), 034048, 2022 | 7 | 2022 |
Ryan T. ArmstrongUniversity of New South WalesVerified email at unsw.edu.au
