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:

Prediction of severe thunderstorm events with ensemble deep learning and radar data
Sabrina Guastavino, Michele Piana, Marco Tizzi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Hybrid AI-enhanced lightning flash prediction in the medium-range forecast horizon
Mattia Cavaiola, Federico Cassola, D. Sacchetti, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7

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

Unveiling India’s lightning patterns through satellite-based climatology and numerical modelling of severe weather events: A review
Unashish Mondal, Anish Kumar, Sanjib Kumar Panda, et al.
Journal of Earth System Science (2025) Vol. 134, Iss. 1
Closed Access

Lightning-induced vulnerability assessment in Bangladesh using machine learning and GIS-based approach
Tanmoy Mazumder, Mustafa Saroar
Progress in Disaster Science (2025) Vol. 25, pp. 100406-100406
Open Access

A comparison of LSTM-based Ensemble models for wind speed prediction in the Atlantic Ocean using optimised parameters
Nadia Cárdenas-Escobar, Germán Santos, Sandra García‐Bustos, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access

TG-Net: A Physically Interpretable Deep Learning Forecasting Model for Thunderstorm Gusts
Yunqing Liu, Yang Lu, Mingxuan Chen, et al.
Journal of Meteorological Research (2025) Vol. 39, Iss. 1, pp. 59-78
Closed Access

Lightning nowcasting based on high-density area and extrapolation utilizing long-range lightning location data
Yi Liu, Jialei Wang, Song Yang, et al.
Atmospheric Research (2025), pp. 108070-108070
Closed Access

A Deep Learning Approach for Forecasting Thunderstorm Gusts in the Beijing–Tianjin–Hebei Region
Yunqing Liu, Yang Lu, Mingxuan Chen, et al.
Advances in Atmospheric Sciences (2024) Vol. 41, Iss. 7, pp. 1342-1363
Closed Access | Times Cited: 3

Operational solar flare forecasting via video-based deep learning
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto, et al.
Frontiers in Astronomy and Space Sciences (2023) Vol. 9
Open Access | Times Cited: 9

Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning
Nathalie Rombeek, Jussi Leinonen, Ulrich Hamann
Natural hazards and earth system sciences (2024) Vol. 24, Iss. 1, pp. 133-144
Open Access | Times Cited: 2

Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches
Sabrina Guastavino, Katsiaryna Bahamazava, Emma Perracchione, et al.
The Astrophysical Journal (2024) Vol. 971, Iss. 1, pp. 94-94
Open Access | Times Cited: 2

Methodology for Severe Convective Cloud Identification Using Lightweight Neural Network Model Ensembling
Jie Zhang, Mingyuan He
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2070-2070
Open Access | Times Cited: 2

TU2Net-GAN: A temporal precipitation nowcasting model with multiple decoding modules
Xudong Ling, Chaorong Li, Peng Yang, et al.
Pattern Recognition Letters (2024) Vol. 178, pp. 98-105
Closed Access | Times Cited: 1

Characteristics of Extreme Rainfall Events over Uganda during September to November Rainfall Season
Donnata Alupot, Guirong Tan, Kokou Romaric Posset, et al.
Journal of Geoscience and Environment Protection (2024) Vol. 12, Iss. 03, pp. 131-152
Open Access | Times Cited: 1

Comparison of ground-based lightning detection network data with WRF-Elec forecasting estimates over India – Initial results
Degala Venkatesh, A. Taori, Arun Suryavanshi, et al.
Remote Sensing Letters (2023) Vol. 14, Iss. 10, pp. 1009-1020
Closed Access | Times Cited: 2

A Survey of Deep Learning-Based Lightning Prediction
Xupeng Wang, Keyong Hu, Yongling Wu, et al.
Atmosphere (2023) Vol. 14, Iss. 11, pp. 1698-1698
Open Access | Times Cited: 2

ASSESSMENT OF CLIMATE CHANGE IMPACTS ON PRECIPITATION AND TEMPERATURE: A CASE STUDY ON THE KRISHNA RIVER BASIN
Nandikanti Siva Sai Syam, Akshay Sunil, Subbarao Pichuka, et al.
Meteorologiya i Gidrologiya (2024), Iss. 1, pp. 86-97
Open 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

Graph Dual-stream Convolutional Attention Fusion for precipitation nowcasting
Lóránd Vatamány, Siamak Mehrkanoon
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109788-109788
Open Access

Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather
Li Lu, 信義 広瀬
International Journal of Aerospace Engineering (2024) Vol. 2024, pp. 1-11
Open Access

Thunderstorms Prediction Using Satellite Images
Kinza Amjad, Mubasher Malik, Hamid Ghous, et al.
International Journal of Information Systems and Computer Technologies (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 1

Tu 2 Net-Gan: A Temporal Precipitation Nowcasting Model with Multiple Decoding Modules
Xudong Ling, Chaorong Li, Peng Yang, et al.
(2023)
Closed Access | Times Cited: 1

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