| 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 | 195 | 2008 |
| 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 | 109 | 2012 |
| 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 | 106 | 2015 |
| Ensemble Kalman filter with the unscented transform X Luo, IM Moroz Physica D: Nonlinear Phenomena 238 (5), 549-562, 2009 | 74 | 2009 |
| Detecting chaos in pseudoperiodic time series without embedding J Zhang, X Luo, M Small Physical Review E 73 (1), 016216, 2006 | 73 | 2006 |
| 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 | 64 | 2016 |
| 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 | 64 | 2011 |
| 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 | 57 | 2007 |
| 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 | 56 | 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 | 52 | 2018 |
| Surrogate test to distinguish between chaotic and pseudoperiodic time series X Luo, T Nakamura, M Small Physical Review E 71 (2), 026230, 2005 | 41 | 2005 |
| Detecting temporal and spatial correlations in pseudoperiodic time series J Zhang, X Luo, T Nakamura, J Sun, M Small Physical Review E 75 (1), 016218, 2007 | 40 | 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 | 38 | 2018 |
| 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 | 37 | 2012 |
| 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 | 36 | 2019 |
| Estimating observation error covariance matrix of seismic data from a perspective of image denoising X Luo, T Bhakta Computational Geosciences 21 (2), 205-222, 2017 | 36 | 2017 |
| Assessing a robust ensemble-based Kalman filter for efficient ecosystem data assimilation of the Cretan Sea G Triantafyllou, I Hoteit, X Luo, K Tsiaras, G Petihakis Journal of Marine Systems 125, 90-100, 2013 | 33 | 2013 |
| Scaled unscented transform Gaussian sum filter: Theory and application X Luo, IM Moroz, I Hoteit Physica D: Nonlinear Phenomena 239 (10), 684-701, 2010 | 33 | 2010 |
| Improving short-range ensemble Kalman storm surge forecasting using robust adaptive inflation MU Altaf, T Butler, X Luo, C Dawson, T Mayo, I Hoteit Monthly Weather Review 141 (8), 2705-2720, 2013 | 30 | 2013 |
| Covariance inflation in the ensemble Kalman filter: A residual nudging perspective and some implications X Luo, I Hoteit Monthly weather review 141 (10), 3360-3368, 2013 | 28 | 2013 |
Ibrahim HoteitProfessor of Earth Sciences and Engineering, Professor of Applied Mathematics and Computer ScienceVerified email at kaust.edu.sa
