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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

The Making of the New European Wind Atlas – Part 2: Production and evaluation
Martin Dörenkämper, Bjarke Tobias Olsen, Björn Witha, et al.
Geoscientific model development (2020) Vol. 13, Iss. 10, pp. 5079-5102
Open Access | Times Cited: 141

Showing 1-25 of 141 citing articles:

High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs
Russell McKenna, Stefan Pfenninger, Heidi Heinrichs, et al.
Renewable Energy (2021) Vol. 182, pp. 659-684
Open Access | Times Cited: 152
Reliability of ERA5 Reanalysis Data for Wind Resource Assessment: A Comparison against Tall Towers
Giovanni Gualtieri
Energies (2021) Vol. 14, Iss. 14, pp. 4169-4169
Open Access | Times Cited: 116
A global assessment of extreme wind speeds for wind energy applications
S. C. Pryor, R. J. Barthelmie
Nature Energy (2021) Vol. 6, Iss. 3, pp. 268-276
Closed Access | Times Cited: 109
The making of the New European Wind Atlas – Part 1: Model sensitivity
Andrea N. Hahmann, Tija Sīle, Björn Witha, et al.
Geoscientific model development (2020) Vol. 13, Iss. 10, pp. 5053-5078
Open Access | Times Cited: 131
Validation of European-scale simulated wind speed and wind generation time series
Juan Pablo Murcia León, Matti Koivisto, Graziela Luzia, et al.
Applied Energy (2021) Vol. 305, pp. 117794-117794
Open Access | Times Cited: 71
Comparing and validating intra-farm and farm-to-farm wakes across different mesoscale and high-resolution wake models
Jana Fischereit, Kurt Schaldemose Hansen, Xiaoli Guo Larsén, et al.
Wind energy science (2022) Vol. 7, Iss. 3, pp. 1069-1091
Open Access | Times Cited: 42
Grand challenges in the digitalisation of wind energy
Andrew Clifton, Sarah Barber, Andrew M. Bray, et al.
Wind energy science (2023) Vol. 8, Iss. 6, pp. 947-974
Open Access | Times Cited: 22
Quality of wind characteristics in recent wind atlases over the North Sea
Peter Kalverla, A.A.M. Holtslag, R.J. Ronda, et al.
Quarterly Journal of the Royal Meteorological Society (2020) Vol. 146, Iss. 728, pp. 1498-1515
Open Access | Times Cited: 67
Offshore wind farm cluster wakes as observed by long-range-scanning wind lidar measurements and mesoscale modeling
Beatriz Cañadillas, Maximilian Beckenbauer, Juan José Trujillo, et al.
Wind energy science (2022) Vol. 7, Iss. 3, pp. 1241-1262
Open Access | Times Cited: 36
Can reanalysis products outperform mesoscale numerical weather prediction models in modeling the wind resource in simple terrain?
Vincent Pronk, Nicola Bodini, Mike Optis, et al.
Wind energy science (2022) Vol. 7, Iss. 2, pp. 487-504
Open Access | Times Cited: 33
Current and future wind energy resources in the North Sea according to CMIP6
Andrea N. Hahmann, Oscar García-Santiago, Alfredo Peña
Wind energy science (2022) Vol. 7, Iss. 6, pp. 2373-2391
Open Access | Times Cited: 31
Rain erosion atlas for wind turbine blades based on ERA5 and NORA3 for Scandinavia
Ásta Hannesdóttir, Stephan T. Kral, Joachim Reuder, et al.
Results in Engineering (2024) Vol. 22, pp. 102010-102010
Open Access | Times Cited: 6
Evaluation and Bias Correction of the ERA5 Reanalysis over the United States for Wind and Solar Energy Applications
James M. Wilczak, Elena Akish, Antonietta Capotondi, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1667-1667
Open Access | Times Cited: 6
A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling
P. van der Laan, Oscar García-Santiago, Mark Kelly, et al.
Wind energy science (2023) Vol. 8, Iss. 5, pp. 819-848
Open Access | Times Cited: 13
Offshore low-level jet observations and model representation using lidar buoy data off the California coast
Lindsay Sheridan, Raghavendra Krishnamurthy, William I. Gustafson, et al.
Wind energy science (2024) Vol. 9, Iss. 3, pp. 741-758
Open Access | Times Cited: 5
Optimization and Evaluation of the Weather Research and Forecasting (WRF) Model for Wind Energy Resource Assessment and Mapping in Iran
Abbas Ranjbar Saadatabadi, Nasim Hossein Hamzeh‎, Dimitris G. Kaskaoutis, et al.
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3304-3304
Open Access | Times Cited: 5
The 2023 National Offshore Wind data set (NOW-23)
Nicola Bodini, Mike Optis, Stephanie Redfern, et al.
Earth system science data (2024) Vol. 16, Iss. 4, pp. 1965-2006
Open Access | Times Cited: 5
The 3 km Norwegian reanalysis (NORA3) – a validation of offshore wind resources in the North Sea and the Norwegian Sea
Ida Marie Solbrekke, Asgeir Sorteberg, Hilde Haakenstad
Wind energy science (2021) Vol. 6, Iss. 6, pp. 1501-1519
Open Access | Times Cited: 32
Wind Energy and the Energy Transition: Challenges and Opportunities for Mexico
Vanesa Magar, Alfredo Peña, Andrea N. Hahmann, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5496-5496
Open Access | Times Cited: 11
Norwegian offshore wind power—Spatial planning using multi‐criteria decision analysis
Ida Marie Solbrekke, Asgeir Sorteberg
Wind Energy (2023) Vol. 27, Iss. 1, pp. 5-32
Open Access | Times Cited: 11
Reply on CEC1
Bjarke Tobias Olsen
(2025)
Closed Access
Characterization of local wind profiles: a random forest approach for enhanced wind profile extrapolation
Farkhondeh Rouholahnejad, Julia Gottschall
Wind energy science (2025) Vol. 10, Iss. 1, pp. 143-159
Open Access
Improving wind and power predictions via four-dimensional data assimilation in the WRF model: case study of storms in February 2022 at Belgian offshore wind farms
Tsvetelina Ivanova, Sara Porchetta, Sophia Buckingham, et al.
Wind energy science (2025) Vol. 10, Iss. 1, pp. 245-268
Open Access
Long-term variations in sea ice extent can influence trends in maximum sea level in the northeastern Baltic Sea
Ülo Suursaar, Katre Luik, Martin Mäll, et al.
Continental Shelf Research (2025), pp. 105451-105451
Open Access
More Wind, Falling Efficiency: The Driving Factors of German Onshore Wind Power Generation
Yannic Janal, Peter Regner, Johannes Schmidt
Wind Energy (2025) Vol. 28, Iss. 4
Open Access
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