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OpenAlex Citation Counts

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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:

Generating Probabilistic Next-Day Severe Weather Forecasts from Convection-Allowing Ensembles Using Random Forests
Eric D. Loken, Adam J. Clark, Christopher D. Karstens
Weather and Forecasting (2020) Vol. 35, Iss. 4, pp. 1605-1631
Open Access | Times Cited: 19

Showing 19 citing articles:

Impact of NWP Model Configuration and Training Sample Characteristics on Random Forest‐Based Day‐1 Convective Outlook Guidance
Aaron Johnson, Xuguang Wang
Earth and Space Science (2025) Vol. 12, Iss. 2
Open Access
TMC-Net: A temporal multivariate correction network in temperature forecasting
Wei Fang, Yuan Zhong, Binglun Wang
Expert Systems with Applications (2025), pp. 127015-127015
Closed Access
Machine Learning–Based Lightning Parameterizations for the CONUS
Wei‐Yi Cheng, Daehyun Kim, Scott Henderson, et al.
Artificial Intelligence for the Earth Systems (2024) Vol. 3, Iss. 2
Open Access | Times Cited: 3
Using Machine Learning to Generate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System
Montgomery L. Flora, Corey K. Potvin, Patrick S. Skinner, et al.
Monthly Weather Review (2021) Vol. 149, Iss. 5, pp. 1535-1557
Open Access | Times Cited: 23
Machine learning for postprocessing ensemble streamflow forecasts
Sanjib Sharma, Ganesh R. Ghimire, Ridwan Siddique
Journal of Hydroinformatics (2022) Vol. 25, Iss. 1, pp. 126-139
Open Access | Times Cited: 15
Forecasting excessive rainfall with random forests and a deterministic convection-allowing model
Aaron J. Hill, Russ S. Schumacher
Weather and Forecasting (2021)
Open Access | Times Cited: 15
Forecasting large hail and lightning using additive logistic regression models and the ECMWF reforecasts
Francesco Battaglioli, Pieter Groenemeijer, Ivan Tsonevsky, et al.
Natural hazards and earth system sciences (2023) Vol. 23, Iss. 12, pp. 3651-3669
Open Access | Times Cited: 5
Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model
Yingkai Sha, Ryan A. Sobash, David John Gagne
Artificial Intelligence for the Earth Systems (2024) Vol. 3, Iss. 2
Open Access | Times Cited: 1
A machine‐learning approach to thunderstorm forecasting through post‐processing of simulation data
Kianusch Vahid Yousefnia, Tobias Bölle, Isabella Zöbisch, et al.
Quarterly Journal of the Royal Meteorological Society (2024) Vol. 150, Iss. 763, pp. 3495-3510
Open Access | Times Cited: 1
Comparing and Interpreting Differently Designed Random Forests for Next-Day Severe Weather Hazard Prediction
Eric D. Loken, Adam J. Clark, Amy McGovern
Weather and Forecasting (2022) Vol. 37, Iss. 6, pp. 871-899
Closed Access | Times Cited: 6
Machine learning classification of significant tornadoes and hail in the U.S. using ERA5 proximity soundings
Vittorio A. Gensini, Cody Converse, Walker S. Ashley, et al.
Weather and Forecasting (2021)
Open Access | Times Cited: 8
Diagnosing Supercell Environments: A Machine Learning Approach
Stephen A. Shield, Adam L. Houston
Weather and Forecasting (2022) Vol. 37, Iss. 5, pp. 771-785
Closed Access | Times Cited: 5
AI and Machine Learning Algorithm-Based Solutions for Complications in Natural Disaster
D. Sathya, S.P. Siddique Ibrahim, D. Jagadeesan
Advances in computational intelligence and robotics book series (2024), pp. 237-253
Closed Access
A machine-learning approach to thunderstorm forecasting through post-processing of simulation data
Kianusch Vahid Yousefnia, Tobias Bölle, Isabella Zöbisch, et al.
arXiv (Cornell University) (2023)
Open Access
Comment on nhess-2023-40
Francesco Battaglioli, Pieter Groenemeijer, Ivan Tsonevsky, et al.
(2023)
Open Access
Comment on nhess-2023-40
Francesco Battaglioli, Pieter Groenemeijer, Ivan Tsonevsky, et al.
(2023)
Open Access
Reply on RC2
Francesco Battaglioli
(2023)
Open Access
Reply on RC1
Francesco Battaglioli
(2023)
Open Access
Lightning strike damage on carbon fiber-reinforced composites: Prediction and protection
Huixin Zhu, Kunkun Fu, Bin Yang
Composite Materials (2021), pp. 359-382
Closed Access
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