| Prediction of a typhoon track using a generative adversarial network and satellite images M Rüttgers, S Lee, S Jeon, D You Scientific reports 9 (1), 6057, 2019 | 119 | 2019 |
| Large-eddy simulation of turbulent flow over the DrivAer fastback vehicle model M Rüttgers, J Park, D You Journal of Wind Engineering and Industrial Aerodynamics 186, 123-138, 2019 | 32 | 2019 |
| Prediction of typhoon track and intensity using a generative adversarial network with observational and meteorological data M Rüttgers, S Jeon, S Lee, D You IEEE Access 10, 48434-48446, 2022 | 19 | 2022 |
| A machine-learning-based method for automatizing lattice-Boltzmann simulations of respiratory flows M Rüttgers, M Waldmann, W Schröder, A Lintermann Applied Intelligence 52 (8), 9080-9100, 2022 | 10 | 2022 |
| Prediction of acoustic fields using a lattice-Boltzmann method and deep learning M Rüttgers, SR Koh, J Jitsev, W Schröder, A Lintermann International Conference on High Performance Computing, 81-101, 2020 | 10 | 2020 |
| Typhoon track prediction using satellite images in a generative adversarial network M Rüttgers, S Lee, D You arXiv preprint arXiv:1808.05382, 2018 | 10 | 2018 |
| Neural networks for improving wind power efficiency: A review H Shin, M Rüttgers, S Lee Fluids 7 (12), 367, 2022 | 8 | 2022 |
| Effects of spatiotemporal correlations in wind data on neural network-based wind predictions H Shin, M Rüttgers, S Lee Energy 279, 128068, 2023 | 7 | 2023 |
| Virtual Surgeries of Nasal Cavities Using a Coupled Lattice-Boltzmann–Level-Set Approach M Waldmann, M Rüttgers, A Lintermann, W Schröder Journal of Engineering and Science in Medical Diagnostics and Therapy 5 (3 …, 2022 | 7 | 2022 |
| Machine-Learning-Based Control of Perturbed and Heated Channel Flows M Rüttgers, M Waldmann, W Schröder, A Lintermann International Conference on High Performance Computing, 7-22, 2021 | 7 | 2021 |
| Prediction of typhoon tracks using a generative adversarial network with observational and meteorological data M Rüttgers, S Lee, D You arXiv preprint arXiv:1812.01943, 2018 | 7 | 2018 |
| Prediction of a typhoon track using a generative adversarial network and satellite images. Sci. Rep., 9, 6057 M Rüttgers, S Lee, S Jeon, D You | 6 | 2019 |
| Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study H Aljawad, M Rüttgers, A Lintermann, W Schroöder, KC Lee Journal of digital imaging 34, 1120-1133, 2021 | 2 | 2021 |
| Automated surgery planning for an obstructed nose by combining computational fluid dynamics with reinforcement learning M Rüttgers, M Waldmann, K Vogt, J Ilgner, W Schröder, A Lintermann Computers in biology and medicine, 108383, 2024 | 1 | 2024 |
| Non-exhaust fine dust collecting device using triboelectricity YOU Donghyun, SH Jeon, SS Lee, P Junshin, M Ruettgers US Patent 11,504,722, 2022 | 1 | 2022 |
| Correction to: Machine-Learning-Based Control of Perturbed and Heated Channel Flows M Rüttgers, M Waldmann, W Schröder, A Lintermann International Conference on High Performance Computing, C2-C2, 2021 | 1 | 2021 |
| How Regional Wind Characteristics Affect CNN-based wind predictions: Insights from Spatiotemporal Correlation Analysis H Shin, M Rüttgers, S Lee arXiv preprint arXiv:2304.01545, 2023 | | 2023 |
| Neural Networks for Improving Wind Power Efficiency: A Review. Fluids 2022, 7, 367 H Shin, M Rüttgers, S Lee s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
| Automated surgery planning for improved nasal breathing M Rüttgers Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023, 0 | | |
| Kobe Opportunities for EU-Japan Research Collaboration M Rüttgers, A Valencia, E Kolokytha, A Gailler | | |
