9 citations as recorded by crossref.

1. Machine learning for data-driven pattern recognition of seismic wind turbine emissions M. Gärtner et al. https://doi.org/10.1093/gji/ggag028
2. Monitoring Germany's Core Energy System Dataset: A Data Quality Analysis of the Marktstammdatenregister F. Kotthoff et al. https://doi.org/10.1145/3717413.3717421
3. Wind turbine noise annoyance – an interdisciplinary three-year field study F. Müller et al. https://doi.org/10.1016/j.envint.2025.109614
4. Seismic noise characterization for the Buddusò–Ala dei Sardi wind park (Sardinia, Italy) and its impact on the Einstein Telescope candidate site G. Diaferia et al. https://doi.org/10.5194/se-16-441-2025
5. Quantification of amplitude modulation of wind turbine emissions from acoustic and ground motion recordings E. Blumendeller et al. https://doi.org/10.1051/aacus/2023047
6. Simulation of ground motion emissions from wind turbines in low mountain ranges: implications for amplitude decay prediction L. Gaßner et al. https://doi.org/10.1007/s10950-023-10172-6
7. The impact of seismic noise produced by wind turbines on seismic borehole measurements F. Limberger et al. https://doi.org/10.5194/se-14-859-2023
8. The seismic fingerprint of wind‐induced tree sway J. Umlauft et al. https://doi.org/10.1111/2041-210X.70173
9. A comprehensive approach to airborne low-frequency acoustic field measurement using a drone-based system R. Subramanyam et al. https://doi.org/10.1016/j.sintl.2026.100384