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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:

Wildfire Danger Prediction and Understanding With Deep Learning
Spyros Kondylatos, Ioannis Prapas, Michele Ronco, et al.
Geophysical Research Letters (2022) Vol. 49, Iss. 17
Open Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel, et al.
Information Fusion (2024) Vol. 108, pp. 102369-102369
Open Access | Times Cited: 47
How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, et al.
Earth s Future (2024) Vol. 12, Iss. 7
Open Access | Times Cited: 31
Inference of Wildfire Causes From Their Physical, Biological, Social and Management Attributes
Yavar Pourmohamad, John T. Abatzoglou, Erica Fleishman, et al.
Earth s Future (2025) Vol. 13, Iss. 1
Open Access | Times Cited: 5
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 | Times Cited: 3
Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model
Rackhun Son, Tobias Stacke, Veronika Gayler, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 15
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 11
Forest fire risk assessment model optimized by stochastic average gradient descent
Zexin Fu, Adu Gong, Jia Wan, et al.
Ecological Indicators (2025) Vol. 170, pp. 113006-113006
Open Access | Times Cited: 1
Τhe Political Economy of Green Transition: The Need for a Two-Pronged Approach to Address Climate Change and the Necessity of “Science Citizens”
Antonios Angelakis, Μanolis Μanioudis, Anthi Koskina
Economies (2025) Vol. 13, Iss. 2, pp. 23-23
Open Access | Times Cited: 1
Sub-hourly forecasting of fire potential using machine learning on time series of surface weather variables
Alberto Ardid, Andrés Valencia, Anthony Power, et al.
International Journal of Wildland Fire (2025) Vol. 34, Iss. 1
Closed Access | Times Cited: 1
Parametric model order reduction for a wildland fire model via the shifted POD-based deep learning method
Shubhaditya Burela, Philipp Krah, Julius Reiß
Advances in Computational Mathematics (2025) Vol. 51, Iss. 1
Open Access | Times Cited: 1
Assessment of forest fire vulnerability prediction in Indonesia: Seasonal variability analysis using machine learning techniques
Wulan Salle Karurung, Kangjae Lee, W. K. Lee
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 138, pp. 104435-104435
Closed Access | Times Cited: 1
Global Wildfire Danger Predictions Based on Deep Learning Taking into Account Static and Dynamic Variables
Yuheng Ji, Dan Wang, Qingliang Li, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 216-216
Open Access | Times Cited: 6
Machine learning algorithms applied to wildfire data in California's central valley
Kassandra Hernández, Aaron B. Hoskins
Trees Forests and People (2024) Vol. 15, pp. 100516-100516
Open Access | Times Cited: 6
Wildfire risk assessment using deep learning in Guangdong Province, China
Wenyu Jiang, Yandong Qiao, Xinxin Zheng, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103750-103750
Open Access | Times Cited: 6
Deep learning modeling of human activity affected wildfire risk by incorporating structural features: A case study in eastern China
Zhonghua He, Gaofeng Fan, Zhengquan Li, et al.
Ecological Indicators (2024) Vol. 160, pp. 111946-111946
Open Access | Times Cited: 5
Using explainable artificial intelligence (XAI) methods to understand the nonlinear relationship between the Three Gorges Dam and downstream flood
Xikun Wei, Guojie Wang, Paula Farina Grosser, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101776-101776
Open Access | Times Cited: 5
Deep learning for spatiotemporal forecasting in Earth system science: a review
Manzhu Yu, Qunying Huang, Zhenlong Li
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 5
Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches
José González-Abad, Jorge Baño‐Medina, José Manuel Azcona
Journal of Advances in Modeling Earth Systems (2023) Vol. 15, Iss. 11
Open Access | Times Cited: 13
A Global Probability-of-Fire (PoF) Forecast
Joe McNorton, Francesca Di Giuseppe, Ewan Pinnington, et al.
Authorea (Authorea) (2024)
Open Access | Times Cited: 4
Volcanic Ash Classification Through Machine Learning
Damià Benet, Fidel Costa, Christina Widiwijayanti
Geochemistry Geophysics Geosystems (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 4
A Global Probability‐Of‐Fire (PoF) Forecast
Joe McNorton, Francesca Di Giuseppe, Ewan Pinnington, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 12
Open Access | Times Cited: 4
Multi-Modal Learning for Geospatial Vegetation Forecasting
Vitus Benson, Claire Nicolle Robin, Christian Requena‐Mesa, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 27788-27799
Closed Access | Times Cited: 4
Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction
İrem Üstek, Miguel Arana‐Catania, Alexander Farr, et al.
Earth and Space Science (2024) Vol. 11, Iss. 11
Open Access | Times Cited: 4
Developing novel machine-learning-based fire weather indices
Assaf Shmuel, Eyal Heifetz
Machine Learning Science and Technology (2023) Vol. 4, Iss. 1, pp. 015029-015029
Open Access | Times Cited: 10
Toward Spatio‐Temporally Consistent Multi‐Site Fire Danger Downscaling With Explainable Deep Learning
Óscar Mirones, Jorge Baño‐Medina, Swen Brands, et al.
Journal of Geophysical Research Machine Learning and Computation (2025) Vol. 2, Iss. 1
Open Access
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