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:

Modeling anthropogenic and natural fire ignitions in an inner-alpine valley
Giorgio Vacchiano, Cristiano Foderi, Roberta Berretti, et al.
Natural hazards and earth system sciences (2018) Vol. 18, Iss. 3, pp. 935-948
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Global and Regional Trends and Drivers of Fire Under Climate Change
Matthew W. Jones, John T. Abatzoglou, Sander Veraverbeke, et al.
Reviews of Geophysics (2022) Vol. 60, Iss. 3
Open Access | Times Cited: 623

A review of machine learning applications in wildfire science and management
Piyush Jain, Sean C. P. Coogan, Sriram Ganapathi Subramanian, et al.
Environmental Reviews (2020) Vol. 28, Iss. 4, pp. 478-505
Open Access | Times Cited: 550

Leveraging the power of internet of things and artificial intelligence in forest fire prevention, detection, and restoration: A comprehensive survey
Sofia Giannakidou, Panagiotis Radoglou-Grammatikis, Θωμάς Λάγκας, et al.
Internet of Things (2024) Vol. 26, pp. 101171-101171
Open Access | Times Cited: 24

A Machine Learning-Based Approach for Wildfire Susceptibility Mapping. The Case Study of the Liguria Region in Italy
Marj Tonini, Mirko D’Andrea, Guido Biondi, et al.
Geosciences (2020) Vol. 10, Iss. 3, pp. 105-105
Open Access | Times Cited: 123

Predicting spatial patterns of wildfire susceptibility in the Huichang County, China: An integrated model to analysis of landscape indicators
Haoyuan Hong, Abolfazl Jaafari, Eric K. Zenner
Ecological Indicators (2019) Vol. 101, pp. 878-891
Closed Access | Times Cited: 101

A deep learning ensemble model for wildfire susceptibility mapping
Alexandra Bjånes, Rodrigo De la Fuente, Pablo Mena
Ecological Informatics (2021) Vol. 65, pp. 101397-101397
Closed Access | Times Cited: 91

Effects of large herbivores on fire regimes and wildfire mitigation
Julia Rouet‐Leduc, Guy Pe’er, Francisco Moreira, et al.
Journal of Applied Ecology (2021) Vol. 58, Iss. 12, pp. 2690-2702
Open Access | Times Cited: 88

Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability
Abolfazl Jaafari, Seyed Vahid Razavi Termeh, Dieu Tien Bui
Journal of Environmental Management (2019) Vol. 243, pp. 358-369
Closed Access | Times Cited: 78

Natural disturbances risks in European Boreal and Temperate forests and their links to climate change – A review of modelling approaches
Joyce Machado Nunes Romeiro, Tron Eid, Clara Antón‐Fernández, et al.
Forest Ecology and Management (2022) Vol. 509, pp. 120071-120071
Open Access | Times Cited: 63

Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe
Roberto Cilli, Mario Elia, Marina D’Este, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 50

Defining Wildfire Susceptibility Maps in Italy for Understanding Seasonal Wildfire Regimes at the National Level
Andrea Trucchia, Giorgio Meschi, Paolo Fiorucci, et al.
Fire (2022) Vol. 5, Iss. 1, pp. 30-30
Open Access | Times Cited: 48

Seasonal differences in the spatial patterns of wildfire drivers and susceptibility in the southwest mountains of China
Wang Wen-quan, Fengjun Zhao, Yanxia Wang, et al.
The Science of The Total Environment (2023) Vol. 869, pp. 161782-161782
Closed Access | Times Cited: 35

Environmental drivers and spatial prediction of forest fires in the Western Ghats biodiversity hotspot, India: An ensemble machine learning approach
Kanda Naveen Babu, Rahul Gour, Kurian Ayushi, et al.
Forest Ecology and Management (2023) Vol. 540, pp. 121057-121057
Open Access | Times Cited: 31

Integrated wildfire danger models and factors: A review
Ioannis Zacharakis, Vassiliοs A. Tsihrintzis
The Science of The Total Environment (2023) Vol. 899, pp. 165704-165704
Closed Access | Times Cited: 26

Lightning-caused fires in the Alps: Identifying the igniting strokes
José V. Moris, Marco Conedera, Luca Nisi, et al.
Agricultural and Forest Meteorology (2020) Vol. 290, pp. 107990-107990
Open Access | Times Cited: 54

Wildfire risk modeling
Sandra Oliveira, Jorge Rocha, Ana C. L. Sá
Current Opinion in Environmental Science & Health (2021) Vol. 23, pp. 100274-100274
Closed Access | Times Cited: 50

Towards an integrated forest fire danger assessment system for the European Alps
Mortimer M. Müller, Lena Vilà‐Vilardell, Harald Vacik
Ecological Informatics (2020) Vol. 60, pp. 101151-101151
Open Access | Times Cited: 41

A Combination of Human Activity and Climate Drives Forest Fire Occurrence in Central Europe: The Case of the Czech Republic
Roman Berčák, Jaroslav Holuša, Jiří Trombik, et al.
Fire (2024) Vol. 7, Iss. 4, pp. 109-109
Open Access | Times Cited: 6

Managing Wildfire Risk in Mosaic Landscapes: A Case Study of the Upper Gata River Catchment in Sierra de Gata, Spain
Manuel Bertomeu, Javier Pineda‐Pampliega, Fernando Pulido
Land (2022) Vol. 11, Iss. 4, pp. 465-465
Open Access | Times Cited: 20

Determination of Forest Structure from Remote Sensing Data for Modeling the Navigation of Rescue Vehicles
Marian Rybanský
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3939-3939
Open Access | Times Cited: 19

Evaluating Seasonal Wildfire Susceptibility and Wildfire Threats to Local Ecosystems in the Largest Forested Area of China
Xianzhe Tang, Takashi Machimura, Jiufeng Li, et al.
Earth s Future (2022) Vol. 10, Iss. 5
Open Access | Times Cited: 18

Identifying the Areas at Risk of Huaico Occurrences in the Department of Lima, Peru
Geise Macedo dos Santos, Vânia Elisabete Schneider, Gisele Cemin, et al.
Climate (2025) Vol. 13, Iss. 1, pp. 11-11
Open Access

Forest Fire Risk under Climate Change in Austria and comparable European regions
Dagmar N. Henner, Gottfried Kirchengast
Trees Forests and People (2025), pp. 100889-100889
Open Access

Assessing Fire Risk in Wildland–Urban Interface Regions Using a Machine Learning Method and GIS data: The Example of Istanbul’s European Side
Ercüment Aksoy, Abdülkadir Koçer, İsmail Yilmaz, et al.
Fire (2023) Vol. 6, Iss. 10, pp. 408-408
Open Access | Times Cited: 9

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