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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:

Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area
Meriame Mohajane, Romulus Costache, Firoozeh Karimi, et al.
Ecological Indicators (2021) Vol. 129, pp. 107869-107869
Open Access | Times Cited: 261

Showing 1-25 of 261 citing articles:

Explainable artificial intelligence (XAI) for interpreting the contributing factors feed into the wildfire susceptibility prediction model
Abolfazl Abdollahi, Biswajeet Pradhan
The Science of The Total Environment (2023) Vol. 879, pp. 163004-163004
Open Access | Times Cited: 86
An XGBoost-SHAP approach to quantifying morphological impact on urban flooding susceptibility
Mo Wang, Yingxin Li, Haojun Yuan, et al.
Ecological Indicators (2023) Vol. 156, pp. 111137-111137
Open Access | Times Cited: 65
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: 64
Explainable artificial intelligence in disaster risk management: Achievements and prospective futures
Saman Ghaffarian, Firouzeh Taghikhah, Holger R. Maier
International Journal of Disaster Risk Reduction (2023) Vol. 98, pp. 104123-104123
Open Access | Times Cited: 57
Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey
Hazan Alkan Akıncı, Halil Akıncı
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 397-414
Closed Access | Times Cited: 52
Forest fire susceptibility mapping with sensitivity and uncertainty analysis using machine learning and deep learning algorithms
Mohd Rihan, Ahmed Ali Bindajam, Swapan Talukdar, et al.
Advances in Space Research (2023) Vol. 72, Iss. 2, pp. 426-443
Closed Access | Times Cited: 51
Detection of forest fire using deep convolutional neural networks with transfer learning approach
Hatice Çatal Reis, Veysel Turk
Applied Soft Computing (2023) Vol. 143, pp. 110362-110362
Closed Access | Times Cited: 43
Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility mapping in Similipal Tiger Reserve, India
Chiranjit Singha, Kishore Chandra Swain, Armin Moghimi, et al.
Forest Ecology and Management (2024) Vol. 555, pp. 121729-121729
Open Access | Times Cited: 25
Spatio-temporal feature attribution of European summer wildfires with Explainable Artificial Intelligence (XAI)
Hanyu Li, Stenka Vulova, Alby Duarte Rocha, et al.
The Science of The Total Environment (2024) Vol. 916, pp. 170330-170330
Open Access | Times Cited: 24
Spatial analysis and machine learning prediction of forest fire susceptibility: a comprehensive approach for effective management and mitigation
Manoranjan Mishra, Rajkumar Guria, Biswaranjan Baraj, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171713-171713
Closed Access | Times Cited: 24
Flood susceptibility mapping through geoinformatics and ensemble learning methods, with an emphasis on the AdaBoost-Decision Tree algorithm, in Mazandaran, Iran
Maryam Jahanbani, Mohammad H. Vahidnia, Hossein Aghamohammadi, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1433-1457
Closed Access | Times Cited: 18
Flood Susceptibility Mapping Using SAR Data and Machine Learning Algorithms in a Small Watershed in Northwestern Morocco
Sliman Hitouri, Meriame Mohajane, Meriam Lahsaini, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 858-858
Open Access | Times Cited: 18
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: 17
Forest fire risk mapping with Landsat 8 OLI images: Evaluation of the potential use of vegetation indices
Fatih Sivrikaya, Alkan Günlü, Ömer Küçük, et al.
Ecological Informatics (2024) Vol. 79, pp. 102461-102461
Open Access | Times Cited: 16
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
A Systematic Review of Applications of Machine Learning Techniques for Wildfire Management Decision Support
Karol Bot, José G. Borges
Inventions (2022) Vol. 7, Iss. 1, pp. 15-15
Open Access | Times Cited: 69
Mapping China’s Forest Fire Risks with Machine Learning
Yakui Shao, Zhongke Feng, Linhao Sun, et al.
Forests (2022) Vol. 13, Iss. 6, pp. 856-856
Open Access | Times Cited: 51
Wildfire Risk Assessment in Liangshan Prefecture, China Based on An Integration Machine Learning Algorithm
Lingxiao Xie, Rui Zhang, Junyu Zhan, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4592-4592
Open Access | Times Cited: 48
Forest Fire Spread Monitoring and Vegetation Dynamics Detection Based on Multi-Source Remote Sensing Images
Yuping Tian, Zechuan Wu, Mingze Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4431-4431
Open Access | Times Cited: 47
GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning
Qian He, Ming Wang, Kai Liu, et al.
Earth system science data (2022) Vol. 14, Iss. 7, pp. 3273-3292
Open Access | Times Cited: 46
Hydrogeochemical and statistical approach to characterize groundwater salinity in the Ghiss-Nekkor coastal aquifers in the Al Hoceima province, Morocco
Yassine El Yousfi, Mahjoub Himi, Hossain El Ouarghi, et al.
Groundwater for Sustainable Development (2022) Vol. 19, pp. 100818-100818
Open Access | Times Cited: 45
Water Erosion Monitoring and Prediction in Response to the Effects of Climate Change Using RUSLE and SWAT Equations: Case of R’Dom Watershed in Morocco
Abdennabi Alitane, Ali Essahlaoui, Mohammed El Hafyani, et al.
Land (2022) Vol. 11, Iss. 1, pp. 93-93
Open Access | Times Cited: 43
A Comparative Analysis of Certainty Factor-Based Machine Learning Methods for Collapse and Landslide Susceptibility Mapping in Wenchuan County, China
Xinyue Yuan, Chao Liu, Ruihua Nie, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3259-3259
Open Access | Times Cited: 41
Machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System
Safae Ijlil, Ali Essahlaoui, Meriame Mohajane, et al.
Remote Sensing (2022) Vol. 14, Iss. 10, pp. 2379-2379
Open Access | Times Cited: 39
Forest Fire Prediction Based on Long- and Short-Term Time-Series Network
Xufeng Lin, Zhongyuan Li, Wenjing Chen, et al.
Forests (2023) Vol. 14, Iss. 4, pp. 778-778
Open Access | Times Cited: 31
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