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:
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
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
Showing 8 citing articles:
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: 4
Yavar Pourmohamad, John T. Abatzoglou, Erica Fleishman, et al.
Earth s Future (2025) Vol. 13, Iss. 1
Open Access | Times Cited: 4
The fastest-growing and most destructive fires in the US (2001 to 2020)
Jennifer K. Balch, Virginia Iglesias, Adam L. Mahood, et al.
Science (2024) Vol. 386, Iss. 6720, pp. 425-431
Closed Access | Times Cited: 10
Jennifer K. Balch, Virginia Iglesias, Adam L. Mahood, et al.
Science (2024) Vol. 386, Iss. 6720, pp. 425-431
Closed Access | Times Cited: 10
Simulating the air quality impact of prescribed fires using graph neural network-based PM2.5 forecasts
Kyleen Liao, Jatan Buch, Kara D. Lamb, et al.
Environmental Data Science (2025) Vol. 4
Open Access
Kyleen Liao, Jatan Buch, Kara D. Lamb, et al.
Environmental Data Science (2025) Vol. 4
Open Access
Projecting Large Fires in the Western US With an Interpretable and Accurate Hybrid Machine Learning Method
Fa Li, Qing Zhu, Kunxiaojia Yuan, et al.
Earth s Future (2024) Vol. 12, Iss. 10
Open Access | Times Cited: 3
Fa Li, Qing Zhu, Kunxiaojia Yuan, et al.
Earth s Future (2024) Vol. 12, Iss. 10
Open Access | Times Cited: 3
Capturing and interpreting wildfire spread dynamics: attention-based spatiotemporal models using ConvLSTM networks
Arif Masrur, Manzhu Yu, Alan H. Taylor
Ecological Informatics (2024) Vol. 82, pp. 102760-102760
Open Access | Times Cited: 2
Arif Masrur, Manzhu Yu, Alan H. Taylor
Ecological Informatics (2024) Vol. 82, pp. 102760-102760
Open Access | Times Cited: 2
Mortality Burden from Wildfire Smoke Under Climate Change
Minghao Qiu, Jessica Li, Carlos Gould, et al.
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
Minghao Qiu, Jessica Li, Carlos Gould, et al.
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
Efficient First-Order Algorithms for Large-Scale, Non-Smooth Maximum Entropy Models with Application to Wildfire Science
Gabriel P. Langlois, Jatan Buch, Jérôme Darbon
Entropy (2024) Vol. 26, Iss. 8, pp. 691-691
Open Access | Times Cited: 1
Gabriel P. Langlois, Jatan Buch, Jérôme Darbon
Entropy (2024) Vol. 26, Iss. 8, pp. 691-691
Open Access | Times Cited: 1
Quantifying wildfire drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0
Rongyun Tang, Mingzhou Jin, Jiafu Mao, et al.
Geoscientific model development (2024) Vol. 17, Iss. 4, pp. 1525-1542
Open Access
Rongyun Tang, Mingzhou Jin, Jiafu Mao, et al.
Geoscientific model development (2024) Vol. 17, Iss. 4, pp. 1525-1542
Open Access
