| Cluster-based network model H Li, D Fernex, R Semaan, J Tan, M Morzyński, BR Noack Journal of Fluid Mechanics 906, A21, 2021 | 47 | 2021 |
| Detailed experimental investigations on flow behaviors and velocity field properties of a supersonic mixing layer J Tan, D Zhang, H Li, J Hou Acta Astronautica 144, 30-38, 2018 | 27 | 2018 |
| Machine learning open-loop control of a mixing layer H Li, J Tan, Z Gao, BR Noack Physics of Fluids 32 (11), 2020 | 22 | 2020 |
| Structural characteristics of supersonic mixing enhanced by introducing streamwise vortices D Zhang, J Tan, H Li Applied Physics Letters 111 (11), 2017 | 18 | 2017 |
| Cluster-based Markov model to understand the transition dynamics of a supersonic mixing layer H Li, J Tan Physics of Fluids 32 (5), 2020 | 17 | 2020 |
| On the cavity-actuated supersonic mixing layer downstream a thick splitter plate J Tan, H Li, BR Noack Physics of Fluids 32 (9), 2020 | 14 | 2020 |
| Investigations on flow and growth properties of a cavity-actuated supersonic planar mixing layer downstream a thick splitter plate H Li, J Tan, D Zhang, J Hou International Journal of Heat and Fluid Flow 74, 209-220, 2018 | 11 | 2018 |
| Investigations of self-excited vibration in splitter plate with a cavity in the supersonic mixing layer H Li, J Tan, J Hou, D Zhang Aerospace Science and Technology 74, 120-131, 2018 | 9 | 2018 |
| Simultaneous control of combustion instabilities and NOx emissions in a lean premixed flame using linear genetic programming Y Liu, J Tan, H Li, Y Hou, D Zhang, BR Noack Combustion and Flame 251, 112716, 2023 | 5 | 2023 |
| Towards human-interpretable, automated learning of feedback control for the mixing layer H Li, GYC Maceda, Y Li, J Tan, M Morzyński, BR Noack arXiv preprint arXiv:2008.12924, 2020 | 4 | 2020 |
| Spatial and temporal dynamics of a supersonic mixing layer with a blunt base L Li, H Li AIP Advances 11 (8), 2021 | | 2021 |
| Flow-induced vibration in the compressible cavity flow H Li, J Tan, J Hou Vibroengineering Procedia 14, 238-243, 2017 | | 2017 |
Bernd R. NoackNational Talent Professor at Harbin Institute of Technology; Professor at TU Berlin在 hit.edu.cn 的电子邮件经过验证
