16 citations as recorded by crossref.

1. Why Bother on Model Complexity?—A Consistent Analytic Model for Power Output Prediction of Offshore Wind Farms G. Larsen et al. https://doi.org/10.3390/en19143270
2. Breaking the dimensionality curse in floating offshore wind farms: A spatiotemporal decoupled reduced-order modeling framework C. Zhang et al. https://doi.org/10.1016/j.enconman.2026.122113
3. Wind Farm Control Optimisation Under Load Constraints Via Surrogate Modelling J. Liew et al. https://doi.org/10.1088/1742-6596/2767/9/092039
4. A multi-fidelity model intercomparison for wake steering of a large turbine in a conventionally neutral atmospheric boundary layer J. Steiner et al. https://doi.org/10.5194/wes-11-1679-2026
5. A study of wake effects on fatigue loads of turbines considering spatiotemporal wind data and rotational speed control effect Y. Song & T. Ishihara https://doi.org/10.1016/j.jweia.2026.106458
6. Graph neural operator for wind farm wake flow J. Schøler et al. https://doi.org/10.5194/wes-11-2229-2026
7. Validation of revised minimalistic model for predicting energy production of offshore wind farms J. Sørensen et al. https://doi.org/10.1088/1742-6596/3224/3/032011
8. A multi-fidelity approach for wind farm simulations and comparison with field data W. Yu et al. https://doi.org/10.1088/1742-6596/2767/5/052039
9. Added value of site load measurements in probabilistic lifetime extension: a Lillgrund case study S. Mozafari et al. https://doi.org/10.5194/wes-11-621-2026
10. Wind Tunnel Evaluation of Aerodynamic Loads in FAST.Farm Under Controlled Wake Conditions A. Fontanella et al. https://doi.org/10.1002/we.70026
11. A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies M. Becker et al. https://doi.org/10.5194/wes-10-1055-2025
12. Reductions in wind farm main bearing rating lives resulting from wake impingement J. Quick et al. https://doi.org/10.5194/wes-11-493-2026
13. Time-Series Based Surrogate Model For Wind Farm Performance Prediction F. Scheurich et al. https://doi.org/10.1088/1742-6596/2767/9/092001
14. Low-pass filtering of meandering scales G. Larsen & A. Lio https://doi.org/10.1088/1742-6596/3016/1/012020
15. On the importance of wind predictions in wake steering optimization E. Kadoche et al. https://doi.org/10.5194/wes-9-1577-2024
16. Data-driven wind farm flow control and challenges towards field implementation: A review T. Göçmen et al. https://doi.org/10.1016/j.rser.2025.115605