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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:

Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima
Maxwell B. Joseph, Matthew W. Rossi, Nathan Mietkiewicz, et al.
Ecological Applications (2019) Vol. 29, Iss. 6
Open Access | Times Cited: 75

Showing 26-50 of 75 citing articles:

A Data-Driven Wildfire Forecasting: Case Study of Algeria
Naila Aziza Houacine, Habiba Drias, Fethi Azibi, et al.
Communications in computer and information science (2025), pp. 30-45
Closed Access
Advancements in Artificial Intelligence Applications for Forest Fire Prediction
Hui Liu, Lifu Shu, Xiaodong Liu, et al.
Forests (2025) Vol. 16, Iss. 4, pp. 704-704
Open Access
Introductory overview: Recommendations for approaching scientific visualization with large environmental datasets
Christa Kelleher, Anna Braswell
Environmental Modelling & Software (2021) Vol. 143, pp. 105113-105113
Open Access | Times Cited: 22
A Machine-Learning Approach to Predicting Daily Wildfire Expansion Rate
Assaf Shmuel, Eyal Heifetz
Fire (2023) Vol. 6, Iss. 8, pp. 319-319
Open Access | Times Cited: 9
Systematically tracking the hourly progression of large wildfires using GOES satellite observations
Tianjia Liu, James T. Randerson, Yang Chen, et al.
Earth system science data (2024) Vol. 16, Iss. 3, pp. 1395-1424
Open Access | Times Cited: 3
Modeling Extreme Meteorological Droughts From Paleo‐Climatic Reconstructions: A Metastatistical Framework
Maria Francesca Caruso, David J. Peres, Antonino Cancelliere, et al.
Water Resources Research (2025) Vol. 61, Iss. 4
Open Access
Mixed-severity wildfire shapes habitat use of large herbivores and carnivores
Jesse S. Lewis, Loren LeSueur, John K. Oakleaf, et al.
Forest Ecology and Management (2021) Vol. 506, pp. 119933-119933
Closed Access | Times Cited: 19
Disentangling the factors of spatio-temporal patterns of wildfire activity in south-eastern France
Jorge Castel-Clavera, François Pimont, Thomas Opitz, et al.
International Journal of Wildland Fire (2022) Vol. 32, Iss. 1, pp. 15-28
Open Access | Times Cited: 13
A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes
Daniela Cisneros, Yan Gong, Rishikesh Yadav, et al.
Extremes (2023) Vol. 26, Iss. 2, pp. 301-330
Closed Access | Times Cited: 8
SMLFire1.0: a stochastic machine learning (SML) model for wildfire activity in the western United States
Jatan Buch, Park Williams, Caroline S. Juang, et al.
Geoscientific model development (2023) Vol. 16, Iss. 12, pp. 3407-3433
Open Access | Times Cited: 8
Modern Pyromes: Biogeographical Patterns of Fire Characteristics across the Contiguous United States
Megan E. Cattau, Adam L. Mahood, Jennifer K. Balch, et al.
Fire (2022) Vol. 5, Iss. 4, pp. 95-95
Open Access | Times Cited: 11
Exploring and Testing Wildfire Risk Decision-Making in the Face of Deep Uncertainty
Bart R. Johnson, Alan A. Ager, Cody Evers, et al.
Fire (2023) Vol. 6, Iss. 7, pp. 276-276
Open Access | Times Cited: 6
Wildfire Trend Analysis over the Contiguous United States Using Remote Sensing Observations
John Salguero, Jingjing Li, Alireza Farahmand, et al.
Remote Sensing (2020) Vol. 12, Iss. 16, pp. 2565-2565
Open Access | Times Cited: 16
Identified main fire hotspots and seasons in Côte d’Ivoire (West Africa) using MODIS fire data
Tionhonkélé Drissa Soro, Moussa Koné, Aya Brigitte N’Dri, et al.
South African Journal of Science (2021) Vol. 117, Iss. 1/2
Open Access | Times Cited: 13
Experimental Study of Big Raster and Vector Database Systems
Samriddhi Singla, Ahmed Eldawy, Tina Diao, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2021), pp. 2243-2248
Closed Access | Times Cited: 10
Dynamic prediction of global monthly burned area with hybrid deep neural networks
Guoli Zhang, Ming Wang, Kai Liu
Ecological Applications (2022) Vol. 32, Iss. 5
Closed Access | Times Cited: 7
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
Wei Shao, Yufan Kang, Ziyan Peng, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 2618-2627
Open Access | Times Cited: 1
Prediction of regional wildfire activity with a probabilistic Bayesian framework
François Pimont, Hélène Fargeon, Thomas Opitz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 10
Fire and regeneration from seeds in a warming world, with emphasis on Australia
Mark K. J. Ooi, Ryan Tangney, Tony D. Auld
Elsevier eBooks (2022), pp. 229-242
Closed Access | Times Cited: 6
A Bayesian non-asymptotic extreme value model for daily rainfall data
Enrico Zorzetto, Antonio Canale, Marco Marani
Journal of Hydrology (2023) Vol. 628, pp. 130378-130378
Closed Access | Times Cited: 3
Uncertainty Aware Wildfire Management
Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 8
Simple random forest classification algorithms for predicting occurrences and sizes of wildfires
David Makowski
Extremes (2022) Vol. 26, Iss. 2, pp. 331-338
Closed Access | Times Cited: 5
SMLFire1.0: a stochastic machine learning (SML) model for wildfire activity in the western United States
Jatan Buch, Park Williams, Caroline S. Juang, et al.
(2022)
Open Access | Times Cited: 4
Systematically tracking the hourly progression of large wildfires using GOES satellite observations
Tianjia Liu, James T. Randerson, Yang Chen, et al.
(2023)
Open Access | Times Cited: 2
Environmental Resilience Technology: Sustainable Solutions Using Value-Added Analytics in a Changing World
E. Natasha Stavros, Caroline Gezon, Lise St. Denis, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 11034-11034
Open Access | Times Cited: 2

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