| A deep learning approach for the transonic flow field predictions around airfoils C Duru, H Alemdar, OU Baran Computers & Fluids 236, 105312, 2022 | 75 | 2022 |
| CNNFOIL: Convolutional encoder decoder modeling for pressure fields around airfoils C Duru, H Alemdar, ÖU Baran Neural Computing and Applications 33 (12), 6835-6849, 2021 | 57 | 2021 |
| Experimental and numerical analysis of transient liquid slug motion in a voided line Z Bozkus, OU Baran, M Ger J. Pressure Vessel Technol. 126 (2), 241-249, 2004 | 26 | 2004 |
| Simplified numerical approach for the prediction of aerodynamic forces on grid fins E Dikbas, ÖU Baran, C Sert Journal of Spacecraft and Rockets 55 (4), 887-898, 2018 | 22 | 2018 |
| The influence of the computational mesh on the prediction of vortex interactions about a generic missile airframe E Dikbas, C Schnepf, MH Tormalm, M Anderson, S Shaw, J DeSpirito, ... AIAA SciTech 2022 Forum, 1176, 2022 | 17 | 2022 |
| Passive flow control in boundary layer ingesting semi submerged inlet UC Küçük, ÖU Baran, O Uzol 51st AIAA/SAE/ASEE Joint Propulsion Conference, 3803, 2015 | 8 | 2015 |
| A Cartesian based mesh generator with body fitted boundary layers M Özkan, ÖU Baran, MH Aksel null, 2018 | 6 | 2018 |
| Fluid-Structure Interaction Model for Hydroplaning Simulation C Dinescu, C Hirsch, B Leonard, ÖU Baran, AW Platschorre, R Alessio, ... SAE Transactions, 1109-1117, 2006 | 6 | 2006 |
| Implementation, verification and assessment of vortex capturing capabilities of k-kL turbulence model E Dikbaş, ÖU Baran Isı Bilimi ve Tekniği Dergisi 42 (1), 113-122, 2022 | 5 | 2022 |
| Experimental and numeical analysis of transiet liquid slug motion in a voided line ÖU Baran Middle East Technical University, 1999 | 5 | 1999 |
| A modeling and simulation tool for safe store separation envelope generation using monte carlo simulations K Unal, OU Baran 2018 AIAA Modeling and Simulation Technologies Conference, 0431, 2018 | 4 | 2018 |
| A 2D Theoretical and Computational Study for Preliminary Determination of Grid Fin Geometric Parameters at Low Transonic Speeds E Dikbaş, ÖU Baran, C Sert | 4 | 2013 |
| Towards Accurate Vortex Separation Simulations with RANS Using Improved k-kL Turbulence Model E Dikbaş, ÖU Baran Aerospace 10 (4), 377, 2023 | 3 | 2023 |
| Automatic mesh generator integrated missile design tool development OZ Köseömür, ÖU Baran null, 2019 | 3 | 2019 |
| ‒PREDICTIONS OF VORTEX INTERACTIONS FOR LK6E2–PART II C Schnepf, J DeSpirito, M Anderson, E Dikbaş, G Loupy, ÖU Baran Vortex Interaction Effects Relevant to Military Air Vehicle Performance Vol …, 2023 | 2 | 2023 |
| Numerical simulation of groundwater contamination M Ger, ÖU Baran, B İrfanog˘ lu Building Partnerships, 1-10, 2000 | 2 | 2000 |
| Extension of the MULTALL Open Source Throughflow Code for the Improved Endwall Loss Simulation M Bilgiç, ÖU Baran, MH Aksel Turbo Expo: Power for Land, Sea, and Air 87080, V13AT29A031, 2023 | 1 | 2023 |
| The influence of modelling in predictions of vortex interactions S Shaw, M Anderson, G Barakos, ÖU Baran, K Boychev, E Dikbaş, ... Vortex Interaction Effects Relevant to Military Air Vehicle Performance Vol …, 2023 | 1 | 2023 |
| Nonlinear Vibrations of Rotor-Bearing Systems Supported by Squeeze Film Dampers Due to Unbalance Excitation F Sevencan, E Cigeroglu, ÖU Baran ASME International Mechanical Engineering Congress and Exposition 85628 …, 2021 | 1 | 2021 |
| Implementation and verification of k-kL turbulence model E Dikbaş, ÖU Baran | 1 | 2021 |
