Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Howland, M. F.
and
Yang, X. I. A.
2018.
Dependence of small-scale energetics on large scales in turbulent flows.
Journal of Fluid Mechanics,
Vol. 852,
Issue. ,
p.
641.
Hu, Ruifeng
and
Zheng, Xiaojing
2018.
Energy contributions by inner and outer motions in turbulent channel flows.
Physical Review Fluids,
Vol. 3,
Issue. 8,
Treumann, R. A.
Baumjohann, W.
and
Narita, Y.
2019.
On the applicability of Taylor’s hypothesis in streaming magnetohydrodynamic turbulence.
Earth, Planets and Space,
Vol. 71,
Issue. 1,
Yang, X. I. A.
Zafar, S.
Wang, J.-X.
and
Xiao, H.
2019.
Predictive large-eddy-simulation wall modeling via physics-informed neural networks.
Physical Review Fluids,
Vol. 4,
Issue. 3,
Howland, Michael F.
and
Dabiri, John O.
2019.
Wind Farm Modeling with Interpretable Physics-Informed Machine Learning.
Energies,
Vol. 12,
Issue. 14,
p.
2716.
Ge, M.-W.
Yang, Xiang I. A.
and
Marusic, Ivan
2019.
Velocity probability distribution scaling in wall-bounded flows at high Reynolds numbers.
Physical Review Fluids,
Vol. 4,
Issue. 3,
Agostini, Lionel
and
Leschziner, Michael
2019.
The connection between the spectrum of turbulent scales and the skin-friction statistics in channel flow at.
Journal of Fluid Mechanics,
Vol. 871,
Issue. ,
p.
22.
Wu, Ting
and
He, Guowei
2020.
Local modulated wave model for the reconstruction of space–time energy spectra in turbulent flows.
Journal of Fluid Mechanics,
Vol. 886,
Issue. ,
Liu, Chang
and
Gayme, Dennice F.
2020.
An input–output based analysis of convective velocity in turbulent channels.
Journal of Fluid Mechanics,
Vol. 888,
Issue. ,
Vamsi Krishna, C.
Wang, Mengying
Hemati, Maziar S.
and
Luhar, Mitul
2020.
Reconstructing the time evolution of wall-bounded turbulent flows from non-time-resolved PIV measurements.
Physical Review Fluids,
Vol. 5,
Issue. 5,
Howland, Michael F.
Ghate, Aditya S.
Lele, Sanjiva K.
and
Dabiri, John O.
2020.
Optimal closed-loop wake steering – Part 1: Conventionally neutral atmospheric boundary layer conditions.
Wind Energy Science,
Vol. 5,
Issue. 4,
p.
1315.
Wang, Jianjie
Pan, Chong
and
Wang, Jinjun
2020.
Characteristics of fluctuating wall-shear stress in a turbulent boundary layer at low-to-moderate Reynolds number.
Physical Review Fluids,
Vol. 5,
Issue. 7,
Iacobello, Giovanni
Ridolfi, Luca
and
Scarsoglio, Stefania
2021.
Large-to-small scale frequency modulation analysis in wall-bounded turbulence via visibility networks.
Journal of Fluid Mechanics,
Vol. 918,
Issue. ,
Friedrich, J.
Moreno, D.
Sinhuber, M.
Wächter, M.
and
Peinke, J.
2022.
Superstatistical Wind Fields from Pointwise Atmospheric Turbulence Measurements.
PRX Energy,
Vol. 1,
Issue. 2,
Ikeda, Tomoaki
and
Yamamoto, Kazuomi
2022.
Computationally efficient, frequency-domain quadrupole corrections for the Ffowcs Williams and Hawkings equation.
International Journal of Aeroacoustics,
Vol. 21,
Issue. 5-7,
p.
610.
Nakao, Keisuke
Suto, Hitoshi
Hattori, Yasuo
and
Kikumoto, Hideki
2022.
Peak wind speed modulation by large-scale motions in neutrally stratified atmospheric surface layer.
Environmental Fluid Mechanics,
Vol. 22,
Issue. 4,
p.
663.
Fan, Ziye
Tang, Zhanqi
Ma, Xingyu
and
Jiang, Nan
2022.
Convection of multi-scale motions in turbulent boundary layer by temporal resolution particle image velocimetry.
Journal of Turbulence,
Vol. 23,
Issue. 6,
p.
305.
Zhang, Fei-Chi
Xie, Jin-Han
and
Zheng, Xiaojing
2022.
Structure-function based study on the logarithmic region in atmospheric surface layer with and without sand.
Physical Review Fluids,
Vol. 7,
Issue. 8,
Dróżdż, Artur
Niegodajew, Paweł
Romańczyk, Mathias
and
Elsner, Witold
2023.
Convection velocity in turbulent boundary layers under adverse pressure gradient.
Experimental Thermal and Fluid Science,
Vol. 145,
Issue. ,
p.
110900.
Cui, G.
and
Jacobi, I.
2023.
Prediction of the phase difference between large-scale velocity and Reynolds stress fluctuations in wall turbulence.
Journal of Fluid Mechanics,
Vol. 969,
Issue. ,