| Deep convolutional neural network for automatic fault recognition from 3D seismic datasets Y An, J Guo, Q Ye, C Childs, J Walsh, R Dong Computers & Geosciences 153, 104776, 2021 | 58 | 2021 |
| Extending digital outcrop geology into the subsurface RR Jones, JK Pringle, KJW McCaffrey, J Imber, RH Wightman, J Guo, ... | 31 | 2011 |
| A gigabyte interpreted seismic dataset for automatic fault recognition Y An, J Guo, Q Ye, C Childs, J Walsh, R Dong Data in Brief 37, 107219, 2021 | 12 | 2021 |
| The spatial heterogeneity of structures in high porosity sandstones: Variations and granularity effects in orientation data J Guo, K McCaffrey, R Jones, R Holdsworth Journal of Structural Geology 31 (7), 628-636, 2009 | 11 | 2009 |
| Disentangling noise patterns from seismic images: Noise reduction and style transfer H Du, Y An, Q Ye, J Guo, L Liu, D Zhu, C Childs, J Walsh, R Dong IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 6 | 2022 |
| Overlap training to mitigate inconsistencies caused by image tiling in CNNs Y An, Q Ye, J Guo, R Dong International Conference on Innovative Techniques and Applications of …, 2020 | 6 | 2020 |
| Geometric and spatial heterogeneity in natural fracture systems formed during 3D strain J Guo Durham University, 2009 | 1 | 2009 |
| QUANTiTATivE ChARACTERiSATiON OF FRACTURE NETwORk USiNG TERRESTRiAL LiDAR DATA, AN EXAMPLE FROM hiGh POROSiTy SANDSTONES FROM APPLEBy, UK E Vsemirnova, R Jones, J Guo, K McCaffrey | 1 | |
| Fault interactions, fault kinematics, and evolution of the structural framework in the Irish Lower Carboniferous RK Doyle, J Guo, E Dunlevy, J Walsh | | |
