12 citations as recorded by crossref.

1. Technical modeling challenges for large idling wind turbines G. Bangga et al. 10.1088/1742-6596/2626/1/012026
2. Accuracy assessment of Beddoes-Leishman and IAG dynamic stall models for wind turbine applications O. Mohamed et al. 10.1088/1742-6596/2767/5/052053
3. Data Reduction and Reconstruction of Wind Turbine Wake Employing Data Driven Approaches M. Geibel & G. Bangga 10.3390/en15103773
4. Novel Machine-Learning-Based Stall Delay Correction Model for Improving Blade Element Momentum Analysis in Wind Turbine Performance Prediction I. Syed Ahmed Kabir et al. 10.3390/wind2040034
5. Aerodynamic modeling of wind turbine loads exposed to turbulent inflow and validation with experimental data G. Bangga & T. Lutz 10.1016/j.energy.2021.120076
6. Wind-Assisted Ship Propulsion of a Series 60 Ship Using a Static Kite Sail W. Formosa et al. 10.3390/jmse11010117
7. Impacts of dynamic stall on engineering model predictions of wind turbines loads under design load cases G. Bangga & J. Yu 10.1088/1742-6596/2767/2/022007
8. Consideration of various configurations of SG6043-based rotor applied in small capacity horizontal axis wind turbine T. Dinh Van et al. 10.61435/ijred.2024.60036
9. Development and Validation of the IAG Dynamic Stall Model in State-Space Representation for Wind Turbine Airfoils G. Bangga et al. 10.3390/en16103994
10. The Beddoes-Leishman dynamic stall model: Critical aspects in implementation and calibration P. Melani et al. 10.1016/j.rser.2024.114677
11. A WaveNet-based fully stochastic dynamic stall model J. Küppers & T. Reinicke 10.5194/wes-7-1889-2022
12. Insights into airfoil response to sinusoidal gusty inflow by oscillating vanes Z. Wu et al. 10.1063/5.0023297