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:

A Brief Review of Machine Learning Algorithms in Forest Fires Science
Ramez Alkhatib, Wahib Sahwan, Anas Alkhatieb, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8275-8275
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Classifying forest cover and mapping forest fire susceptibility in Dak Nong province, Vietnam utilizing remote sensing and machine learning
Van The Pham, Tuyet Anh Thi, Hau Duc Tran, et al.
Ecological Informatics (2023) Vol. 79, pp. 102392-102392
Open Access | Times Cited: 28

Deep artificial intelligence applications for natural disaster management systems: A methodological review
Akhyar Akhyar, Mohd Asyraf Zulkifley, Jaesung Lee, et al.
Ecological Indicators (2024) Vol. 163, pp. 112067-112067
Open Access | Times Cited: 13

Lightning-Induced Wildfires: An Overview
Song Yang, Cangsu Xu, Xiaolu Li, et al.
Fire (2024) Vol. 7, Iss. 3, pp. 79-79
Open Access | Times Cited: 10

Robust Forest Fire Detection Method for Surveillance Systems Based on You Only Look Once Version 8 and Transfer Learning Approaches
Nodir Yunusov, Bappy MD Siful Islam, Akmalbek Abdusalomov, et al.
Processes (2024) Vol. 12, Iss. 5, pp. 1039-1039
Open Access | Times Cited: 9

A Forest Fire Recognition Method Based on Modified Deep CNN Model
Shaoxiong Zheng, Xiangjun Zou, Peng Gao, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 111-111
Open Access | Times Cited: 7

Forest fire mapping: a comparison between GIS-based random forest and Bayesian models
Farzaneh Noroozi, Gholamabbas Ghanbarian, Roja Safaeian, et al.
Natural Hazards (2024) Vol. 120, Iss. 7, pp. 6569-6592
Open Access | Times Cited: 6

A Forest Fire Prediction Model Based on Cellular Automata and Machine Learning
Xuan Sun, Ning Li, Duoqi Chen, et al.
IEEE Access (2024) Vol. 12, pp. 55389-55403
Open Access | Times Cited: 6

Artificial Intelligence Models to Prevent Forest Fires
Wasswa Shafik
Advances in computational intelligence and robotics book series (2024), pp. 78-106
Closed Access | Times Cited: 5

Predictive Modeling of Volume and Biomass in Pinus pseudostrobus Using Machine Learning and Allometric Approaches
Pablo Antúnez, Christian Wehenkel, Erickson Basave Villalobos, et al.
Forest Science and Technology (2025), pp. 1-13
Open Access

Recent developments in the use of machine learning in catalysis: A broad perspective with applications in kinetics
Leandro Goulart de Araujo, Léa Vilcocq, Pascal Fongarland, et al.
Chemical Engineering Journal (2025), pp. 160872-160872
Closed Access

Using ensemble machine learning algorithm to predict forest fire occurrence probability in Madhya Pradesh and Chhattisgarh, India
Sumedha Surbhi Singh, C. Jeganathan
Advances in Space Research (2023) Vol. 73, Iss. 6, pp. 2969-2987
Closed Access | Times Cited: 15

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: 4

Data Management in Biobanking: Strategies, Challenges, and Future Directions
Ramez Alkhatib, Karoline I. Gaede
BioTech (2024) Vol. 13, Iss. 3, pp. 34-34
Open Access | Times Cited: 4

AI-Powered IoT and UAV Systems for Real-Time Detection and Prevention of Illegal Logging
Montaser N.A. Ramadan, Mohammed A. H. Ali, Shin Yee Khoo, et al.
Results in Engineering (2024), pp. 103277-103277
Open Access | Times Cited: 4

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

AI-Driven Wildfire Prediction and Response in Portugal
Pedro Pinheiro Gomes, Tiago Cardoso
Advances in environmental engineering and green technologies book series (2025), pp. 115-144
Closed Access

TFNet: Transformer-Based Multi-Scale Feature Fusion Forest Fire Image Detection Network
Hongying Liu, Fuquan Zhang, Yiqing Xu, et al.
Fire (2025) Vol. 8, Iss. 2, pp. 59-59
Open Access

Wildfire impacts on Spanish municipal population
Guillermo Peña
Journal of Environmental Management (2025) Vol. 377, pp. 124504-124504
Closed Access

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

Enhancing Forest Fire Classification with Feature Selection and Machine Learning Based on PRISMA Hyperspectral Data
Hanifi Meroufel, Faouzi Berrichi, Mohammed Bilel Amri, et al.
Communications in computer and information science (2025), pp. 98-107
Closed Access

Machine Learning-Based Wildfire Susceptibility Mapping: A Gis-Integrated Predictive Framework
Yehya Bouzeraa, Nardjes Bouchemal, Salim Djaaboub
(2025)
Closed Access

A spatial weight sampling method integrating the spatiotemporal pattern enhances the understanding of the occurrence mechanism of wildfires in the southwestern mountains of China
Wenlong Yang, Mingshan Wu, Lei Kong, et al.
Forest Ecology and Management (2025) Vol. 585, pp. 122619-122619
Closed Access

Modeling the Spatial Distribution of Wildfire Risk in Chile Under Current and Future Climate Scenarios
John Gajardo, Marco A. Yáñez, Robert S. Padilla, et al.
Fire (2025) Vol. 8, Iss. 3, pp. 113-113
Open Access

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