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:
Advances and prospects of deep learning for medium-range extreme weather forecasting
Leonardo Olivetti, Gabriele Messori
Geoscientific model development (2024) Vol. 17, Iss. 6, pp. 2347-2358
Open Access | Times Cited: 7
Leonardo Olivetti, Gabriele Messori
Geoscientific model development (2024) Vol. 17, Iss. 6, pp. 2347-2358
Open Access | Times Cited: 7
Showing 7 citing articles:
Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives
Stefano Materia, Lluís Palma García, Chiem van Straaten, et al.
Wiley Interdisciplinary Reviews Climate Change (2024)
Open Access | Times Cited: 12
Stefano Materia, Lluís Palma García, Chiem van Straaten, et al.
Wiley Interdisciplinary Reviews Climate Change (2024)
Open Access | Times Cited: 12
Data-Driven Weather Forecasting and Climate Modeling from the Perspective of Development
Yuting Wu, Wei Xue
Atmosphere (2024) Vol. 15, Iss. 6, pp. 689-689
Open Access | Times Cited: 6
Yuting Wu, Wei Xue
Atmosphere (2024) Vol. 15, Iss. 6, pp. 689-689
Open Access | Times Cited: 6
Artificial intelligence for modeling and understanding extreme weather and climate events
Gustau Camps‐Valls, Miguel‐Ángel Fernández‐Torres, Kai-Hendrik Cohrs, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Gustau Camps‐Valls, Miguel‐Ángel Fernández‐Torres, Kai-Hendrik Cohrs, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Predictability Assessment of Cold-Wet-Windy Pan-Atlantic Extremes
Meriem Krouma, Gabriele Messori
(2025)
Closed Access
Meriem Krouma, Gabriele Messori
(2025)
Closed Access
Do data-driven models beat numerical models in forecasting weather extremes? A comparison of IFS HRES, Pangu-Weather, and GraphCast
Leonardo Olivetti, Gabriele Messori
Geoscientific model development (2024) Vol. 17, Iss. 21, pp. 7915-7962
Open Access
Leonardo Olivetti, Gabriele Messori
Geoscientific model development (2024) Vol. 17, Iss. 21, pp. 7915-7962
Open Access
Lightning‐Fast Convective Outlooks: Predicting Severe Convective Environments With Global AI‐Based Weather Models
Monika Feldmann, Tom Beucler, Milton Gomez, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 22
Open Access
Monika Feldmann, Tom Beucler, Milton Gomez, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 22
Open Access
Predictive Analytics in Weather Forecasting Using Machine Learning and Deep Learning
Navneet Pratap Singh, Madhuri Gupta, Manoj K. Agarwal, et al.
Communications in computer and information science (2024), pp. 103-116
Closed Access
Navneet Pratap Singh, Madhuri Gupta, Manoj K. Agarwal, et al.
Communications in computer and information science (2024), pp. 103-116
Closed Access
