| Characterizing pseudoperiodic time series through the complex network approach J Zhang, J Sun, X Luo, K Zhang, T Nakamura, M Small Physica D: Nonlinear Phenomena 237 (22), 2856-2865, 2008 | 217 | 2008 |
| Iterative ensemble smoother as an approximate solution to a regularized minimum-average-cost problem: theory and applications X Luo, AS Stordal, RJ Lorentzen, G Nævdal SPE Journal 20 (05), 962-982, 2015 | 148 | 2015 |
| Particle Kalman filtering: A nonlinear Bayesian framework for ensemble Kalman filters I Hoteit, X Luo, DT Pham Monthly weather review 140 (2), 528-542, 2012 | 129 | 2012 |
| An Ensemble 4D-Seismic History-Matching Framework With Sparse Representation Based On Wavelet Multiresolution Analysis X Luo, T Bhakta, M Jakobsen, G Nævdal SPE Journal,, 2016 | 87 | 2016 |
| Mitigating observation perturbation sampling errors in the stochastic EnKF I Hoteit, DT Pham, ME Gharamti, X Luo Monthly Weather Review 143 (7), 2918-2936, 2015 | 83 | 2015 |
| Correlation-based adaptive localization with applications to ensemble-based 4D-seismic history matching X Luo, T Bhakta, G Naevdal SPE Journal 23 (02), 396-427, 2018 | 82 | 2018 |
| Ensemble Kalman filter with the unscented transform X Luo, IM Moroz Physica D: Nonlinear Phenomena 238 (5), 549-562, 2009 | 82 | 2009 |
| Detecting chaos in pseudoperiodic time series without embedding J Zhang, X Luo, M Small Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 73 (1 …, 2006 | 78 | 2006 |
| Robust ensemble filtering and its relation to covariance inflation in the ensemble Kalman filter X Luo, I Hoteit Monthly Weather Review 139 (12), 3938-3953, 2011 | 75 | 2011 |
| Ensemble Kalman method for learning turbulence models from indirect observation data XL Zhang, H Xiao, X Luo, G He Journal of Fluid Mechanics 949, A26, 2022 | 64 | 2022 |
| On a dynamical system with multiple chaotic attractors X Luo, M Small, MF Danca, G Chen International Journal of Bifurcation and Chaos 17 (09), 3235-3251, 2007 | 62 | 2007 |
| Efficient big data assimilation through sparse representation: A 3D benchmark case study in petroleum engineering X Luo, T Bhakta, M Jakobsen, G Nævdal PloS one 13 (7), e0198586, 2018 | 54 | 2018 |
| Automatic and adaptive localization for ensemble-based history matching X Luo, T Bhakta Journal of Petroleum Science and Engineering 184, 106559, 2020 | 52 | 2020 |
| History matching the full Norne field model using seismic and production data RJ Lorentzen, X Luo, T Bhakta, R Valestrand SPE Journal 24 (04), 1452-1467, 2019 | 51 | 2019 |
| Data assimilation within the advanced circulation (ADCIRC) modeling framework for hurricane storm surge forecasting T Butler, MU Altaf, C Dawson, I Hoteit, X Luo, T Mayo Monthly Weather Review 140 (7), 2215-2231, 2012 | 50 | 2012 |
| Data assimilation in oceanography: Current status and new directions I Hoteit, X Luo, M Bocquet, A Kohl, B Ait-El-Fquih New frontiers in operational oceanography, 465-512, 2018 | 48 | 2018 |
| Detecting temporal and spatial correlations in pseudoperiodic time series J Zhang, X Luo, T Nakamura, J Sun, M Small Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 75 (1 …, 2007 | 46 | 2007 |
| A decision support system for multi-target geosteering S Alyaev, E Suter, RB Bratvold, A Hong, X Luo, K Fossum Journal of Petroleum Science and Engineering 183, 106381, 2019 | 45 | 2019 |
| A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization L Wang, Y Yao, X Luo, CD Adenutsi, G Zhao, F Lai Fuel 350, 128826, 2023 | 44 | 2023 |
| Simultaneous assimilation of production and seismic data: application to the Norne field RJ Lorentzen, T Bhakta, D Grana, X Luo, R Valestrand, G Nævdal Computational Geosciences 24 (2), 907-920, 2020 | 44 | 2020 |
Ibrahim HoteitProfessor of Earth Sciences and Engineering, Professor of Applied Mathematics and Computer ScienceVerified email at kaust.edu.sa