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:
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
Roberto Cilli, Mario Elia, Marina D’Este, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 50
Showing 26-50 of 50 citing articles:
Application of Artificial Intelligence in Tree Care in Sub-Saharan Africa
Petros Chavula, Fredrick Kayusi, Bismark Agura Kayus
LatIA (2025) Vol. 3, pp. 325-325
Closed Access
Petros Chavula, Fredrick Kayusi, Bismark Agura Kayus
LatIA (2025) Vol. 3, pp. 325-325
Closed Access
Mapping wildfire susceptibility in the tropical region of Brunei: a machine learning and explainable AI approach using google earth engine with remote sensing data
Rufai Yusuf Zakari, Owais Ahmed Malik, Ong Wee-Hong
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Rufai Yusuf Zakari, Owais Ahmed Malik, Ong Wee-Hong
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Exploring the monthly contribution of drivers on European summer wildfires with explainable artificial intelligence (XAI)
Hanyu Li, Stenka Vulova, Alby Duarte Rocha, et al.
Ecological Indicators (2025) Vol. 176, pp. 113605-113605
Closed Access
Hanyu Li, Stenka Vulova, Alby Duarte Rocha, et al.
Ecological Indicators (2025) Vol. 176, pp. 113605-113605
Closed Access
Integrating ensemble machine learning and explainable AI for enhanced forest fire susceptibility analysis and risk assessment in Türkiye’s Mediterranean region
Hasan Tonbul
Earth Science Informatics (2024)
Closed Access | Times Cited: 3
Hasan Tonbul
Earth Science Informatics (2024)
Closed Access | Times Cited: 3
Predicting wildfire ignition causes in Southern France using eXplainable Artificial Intelligence (XAI) methods
Christos Bountzouklis, Dennis Fox, Elena Di Bernardino
Environmental Research Letters (2023) Vol. 18, Iss. 4, pp. 044038-044038
Open Access | Times Cited: 7
Christos Bountzouklis, Dennis Fox, Elena Di Bernardino
Environmental Research Letters (2023) Vol. 18, Iss. 4, pp. 044038-044038
Open Access | Times Cited: 7
FireDetXplainer: Decoding Wildfire Detection With Transparency and Explainable AI Insights
Syeda Fiza Rubab, Arslan Abdul Ghaffar, Gyu Sang Choi
IEEE Access (2024) Vol. 12, pp. 52378-52389
Open Access | Times Cited: 2
Syeda Fiza Rubab, Arslan Abdul Ghaffar, Gyu Sang Choi
IEEE Access (2024) Vol. 12, pp. 52378-52389
Open Access | Times Cited: 2
Application of Remote Sensing and Explainable Artificial Intelligence (XAI) for Wildfire Occurrence Mapping in the Mountainous Region of Southwest China
J. Liu, Yukuan Wang, Yafeng Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3602-3602
Open Access | Times Cited: 2
J. Liu, Yukuan Wang, Yafeng Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3602-3602
Open Access | Times Cited: 2
Aggregation strategies to improve XAI for geoscience models that use correlated, high-dimensional rasters
Evan Krell, Hamid Kamangir, Waylon Collins, et al.
Environmental Data Science (2023) Vol. 2
Open Access | Times Cited: 5
Evan Krell, Hamid Kamangir, Waylon Collins, et al.
Environmental Data Science (2023) Vol. 2
Open Access | Times Cited: 5
The verbalization of numbers: An explainable framework for tourism online reviews
Francesco De Nicolò, Loredana Bellantuono, Dario Borzì, et al.
International Journal of Engineering Business Management (2023) Vol. 15
Open Access | Times Cited: 4
Francesco De Nicolò, Loredana Bellantuono, Dario Borzì, et al.
International Journal of Engineering Business Management (2023) Vol. 15
Open Access | Times Cited: 4
Explainable Artificial Intelligence (XAI) Model for Cancer Image Classification
Amit Singhal, Krishna Kant Agrawal, Ángeles Quezada, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 141, Iss. 1, pp. 401-441
Open Access | Times Cited: 1
Amit Singhal, Krishna Kant Agrawal, Ángeles Quezada, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 141, Iss. 1, pp. 401-441
Open Access | Times Cited: 1
Visualization of explainable artificial intelligence for GeoAI
Cédric Roussel
Frontiers in Computer Science (2024) Vol. 6
Open Access | Times Cited: 1
Cédric Roussel
Frontiers in Computer Science (2024) Vol. 6
Open Access | Times Cited: 1
Identifying long-term burned forests in the rugged terrain of Southwest China:A novel method based on remote sensing and ecological mechanisms
Enxu Yu, Mingfang Zhang, Yiping Hou, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 133, pp. 104134-104134
Open Access | Times Cited: 1
Enxu Yu, Mingfang Zhang, Yiping Hou, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 133, pp. 104134-104134
Open Access | Times Cited: 1
Temporal Vine Water Status Modeling Through Machine Learning Ensemble Technique and Sentinel-2 Multispectral Images Under Semi-Arid Conditions
Vincenzo Giannico, Simone Pietro Garofalo, Luca Brillante, et al.
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4784-4784
Open Access | Times Cited: 1
Vincenzo Giannico, Simone Pietro Garofalo, Luca Brillante, et al.
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4784-4784
Open Access | Times Cited: 1
Moving beyond post-hoc XAI: Lessons learned from dynamical climate modeling
Ryan O’Loughlin, Dan Li, Travis O’Brien
(2024)
Open Access | Times Cited: 1
Ryan O’Loughlin, Dan Li, Travis O’Brien
(2024)
Open Access | Times Cited: 1
Contrasting patterns and interpretations between a fire spread simulator and a machine learning model when mapping burn probabilities: A case study for Mediterranean areas
José María Costa-Saura, Donatella Spano, Costantino Sirca, et al.
Environmental Modelling & Software (2023) Vol. 163, pp. 105685-105685
Closed Access | Times Cited: 3
José María Costa-Saura, Donatella Spano, Costantino Sirca, et al.
Environmental Modelling & Software (2023) Vol. 163, pp. 105685-105685
Closed Access | Times Cited: 3
Wildfire Risk Assessment Considering Seasonal Differences: A Case Study of Nanning, China
Weiting Yue, Chao Ren, Yueji Liang, et al.
Forests (2023) Vol. 14, Iss. 8, pp. 1616-1616
Open Access | Times Cited: 3
Weiting Yue, Chao Ren, Yueji Liang, et al.
Forests (2023) Vol. 14, Iss. 8, pp. 1616-1616
Open Access | Times Cited: 3
Artificial Intelligencefor Automated Detection and Counting of Olive Trees
Roberto Cilli, Ester Pantaleo, Nicola Amoroso, et al.
(2024)
Closed Access
Roberto Cilli, Ester Pantaleo, Nicola Amoroso, et al.
(2024)
Closed Access
The Geores Project: Geospatial Application in Support of Environmental Sustainability and Resilience to Climate Changes in Urban Areas
Raffaele Lafortezza, F. Giordano, Domenico Capolongo, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 1384-1387
Closed Access
Raffaele Lafortezza, F. Giordano, Domenico Capolongo, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 1384-1387
Closed Access
Spatiotemporal Analysis of Wildfires in Alberta, Canada Over the Past Sixty Years: Increased Wildfire Frequency by Human Activities
Wenrui Li, Yuqi Bai, Ziyi Chen, et al.
(2024)
Closed Access
Wenrui Li, Yuqi Bai, Ziyi Chen, et al.
(2024)
Closed Access
Cross-validation, Symbolic Regression, Pareto include
Ryan O’Loughlin, Dan Li, Travis O’Brien
(2024)
Open Access
Ryan O’Loughlin, Dan Li, Travis O’Brien
(2024)
Open Access
Use of airborne LiDAR to predict fine dead fuel load in Mediterranean forest stands of Southern Europe
Di Lin, Vincenzo Giannico, Raffaele Lafortezza, et al.
Fire Ecology (2024) Vol. 20, Iss. 1
Open Access
Di Lin, Vincenzo Giannico, Raffaele Lafortezza, et al.
Fire Ecology (2024) Vol. 20, Iss. 1
Open Access
An interpretable machine learning model for predicting forest fire danger based on bayesian optimization
Zhiyang Liu, Kuibin Zhou, Qichao Yao, et al.
Emergency Management Science and Technology (2020), pp. 1-12
Open Access | Times Cited: 1
Zhiyang Liu, Kuibin Zhou, Qichao Yao, et al.
Emergency Management Science and Technology (2020), pp. 1-12
Open Access | Times Cited: 1
