| Higher order dynamic mode decomposition S Le Clainche, JM Vega SIAM Journal on Applied Dynamical Systems 16 (2), 882-925, 2017 | 355 | 2017 |
| Higher order dynamic mode decomposition of noisy experimental data: the flow structure of a zero-net-mass-flux jet S Le Clainche, JM Vega, J Soria Experimental Thermal and Fluid Science, 2017 | 126 | 2017 |
| Higher order dynamic mode decomposition to identify and extrapolate flow patterns S Le Clainche, JM Vega Physics of Fluids 29 (8), 2017 | 102 | 2017 |
| Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows H Eivazi, S Le Clainche, S Hoyas, R Vinuesa Expert Systems with Applications 202, 117038, 2022 | 98 | 2022 |
| Order 104 speedup in global linear instability analysis using matrix formation P Paredes, M Hermanns, S Le Clainche, V Theofilis Computer Methods in Applied Mechanics and Engineering 253, 287-304, 2013 | 96 | 2013 |
| A reduced-order model for compressible flows with buffeting condition using higher order dynamic mode decomposition with a mode selection criterion J Kou, S Le Clainche, W Zhang Physics of Fluids 30 (1), 016103, 2018 | 84 | 2018 |
| Four decades of studying global linear instability: Progress and challenges F Gómez, SL Clainche, P Paredes, M Hermanns, V Theofilis AIAA journal 50 (12), 2731-2743, 2012 | 78 | 2012 |
| higher order dynamic mode decomposition and its applications JM vega, soledad le clainche | 65* | |
| Improving aircraft performance using machine learning: A review S Le Clainche, E Ferrer, S Gibson, E Cross, A Parente, R Vinuesa Aerospace Science and Technology 138, 108354, 2023 | 56 | 2023 |
| Flow around a hemisphere-cylinder at high angle of attack and low Reynolds number. Part II: POD and DMD applied to reduced domains S Le Clainche, D Rodriguez, V Theofilis, J Soria Aerospace Science and Technology 44, 88-100, 2015 | 49 | 2015 |
| A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures R Abadía-Heredia, M López-Martín, B Carro, JI Arribas, JM Pérez, ... Expert Systems with Applications 187, 115910, 2022 | 47 | 2022 |
| Flow around a hemisphere-cylinder at high angle of attack and low Reynolds number. Part I: Experimental and numerical investigation S Le Clainche, JI Li, V Theofilis, J Soria Aerospace Science and Technology 44, 77-87, 2015 | 47 | 2015 |
| A reduced order model to predict transient flows around straight bladed vertical axis wind turbines S Le Clainche, E Ferrer Energies 11 (3), 566, 2018 | 46 | 2018 |
| Coherent structures in the turbulent channel flow of an elastoviscoplastic fluid S Le Clainche, D Izbassarov, M Rosti, L Brandt, O Tammisola Journal of Fluid Mechanics 888, A5, 2020 | 44 | 2020 |
| Spatio-temporal Koopman decomposition SL Clainche, JM Vega Journal of Nonlinear Science 28, 1793-1842, 2018 | 44 | 2018 |
| New Robust Method to Study Flight Flutter Testing S Le Clainche, R Moreno-Ramos, P Taylor, JM Vega Journal of Aircraft, 2018 | 41 | 2018 |
| A transition prediction method for flow over airfoils based on high-order dynamic mode decomposition WU Mengmeng, HAN Zhonghua, NIE Han, S Wenping, S Le Clainche, ... Chinese Journal of Aeronautics 32 (11), 2408-2421, 2019 | 40 | 2019 |
| Wind predictions upstream wind turbines from a LiDAR database S Le Clainche, LS Lorente, JM Vega Energies 11 (3), 543, 2018 | 37 | 2018 |
| Spatio-temporal flow structures in the three-dimensional wake of a circular cylinder S Le Clainche, JMP Pérez, JM Vega Fluid Dynamics Research, 2018 | 34 | 2018 |
| Analyzing Nonlinear Dynamics via Data‐Driven Dynamic Mode Decomposition‐Like Methods S Le Clainche, JM Vega Complexity 2018 (1), 6920783, 2018 | 33 | 2018 |
Ricardo VinuesaAssociate Professor, KTH Royal Institute of Technology在 mech.kth.se 的电子邮件经过验证
