| An adaptive Gaussian process‐based method for efficient Bayesian experimental design in groundwater contaminant source identification problems J Zhang, W Li, L Zeng, L Wu Water Resources Research, 2016 | 128 | 2016 |
| Stochastic analysis of unsaturated flow with probabilistic collocation method W Li, Z Lu, D Zhang Water Resources Research 45 (8), 2009 | 100 | 2009 |
| An iterative local updating ensemble smoother for estimation and uncertainty assessment of hydrologic model parameters with multimodal distributions J Zhang, G Lin, W Li, L Wu, L Zeng Water Resources Research 54 (3), 1716-1733, 2018 | 70 | 2018 |
| Inverse regression-based uncertainty quantification algorithms for high-dimensional models: Theory and practice W Li, G Lin, B Li Journal of Computational Physics 321, 259-278, 2016 | 63 | 2016 |
| An adaptive ANOVA-based PCKF for high-dimensional nonlinear inverse modeling W Li, G Lin, D Zhang Journal of Computational Physics 258, 752-772, 2014 | 32 | 2014 |
| An adaptive importance sampling algorithm for Bayesian inversion with multimodal distributions W Li, G Lin Journal of Computational Physics 294, 173-190, 2015 | 31 | 2015 |
| Efficient evaluation of small failure probability in high‐dimensional groundwater contaminant transport modeling via a two‐stage M onte C arlo method J Zhang, W Li, G Lin, L Zeng, L Wu Water Resources Research 53 (3), 1948-1962, 2017 | 30 | 2017 |
| Data assimilation for unsaturated flow models with restart adaptive probabilistic collocation based Kalman filter J Man, W Li, L Zeng, L Wu Advances in Water Resources 92, 258-270, 2016 | 26 | 2016 |
| Sequential ensemble‐based optimal design for parameter estimation J Man, J Zhang, W Li, L Zeng, L Wu Water Resources Research 52 (10), 7577-7592, 2016 | 19 | 2016 |
| A surrogate-based adaptive sampling approach for history matching and uncertainty quantification W Li, D Zhang, G Lin SPE Reservoir Simulation Conference?, D022S002R013, 2015 | 18 | 2015 |
| Sliced-inverse-regression--aided rotated compressive sensing method for uncertainty quantification X Yang, W Li, A Tartakovsky SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1532-1554, 2018 | 15 | 2018 |
| Probabilistic Collocation Based Kalman Filter for Assisted History Matching W Li, D Oyerinde, D Stern, XH Wu, D Zhang SPE Reservoir Simulation Conference?, SPE-141930-MS, 2011 | 5 | 2011 |
| Trimmed ensemble kalman filter for nonlinear and non-gaussian data assimilation problems W Li, WS Rosenthal, G Lin arXiv preprint arXiv:1808.05465, 2018 | 4 | 2018 |
| Addition to the known diversity of Chinese freshwater planarians: integrative description of a new species of Dugesia Girard, 1850 (Platyhelminthes, Tricladida, Dugesiidae) Y Liu, XY Song, ZY Sun, WX Li, R Sluys, SF Li, AT Wang Zoosystematics and Evolution 98 (2), 233-243, 2022 | 2 | 2022 |
| Ensemble-based uncertainty quantification for coordination and control of thermostatically controlled loads W Li, J Lian, D Engel, H Wang Journal of Control and Decision 5 (2), 148-168, 2018 | 2 | 2018 |
| Inverse modeling and uncertainty quantification of nonlinear flow in porous media models W Li University of Southern California, 2014 | 2 | 2014 |
| The complete mitochondrial genome of a marine triclad Miroplana shenzhensis (Platyhelminthes, Tricladida, Maricola) JJ Huang, YY Liao, WX Li, JY Li, AT Wang, Y Zhang Mitochondrial DNA Part B 7 (6), 927-929, 2022 | 1 | 2022 |
