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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:

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

Showing 1-25 of 50 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: 91
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: 61
Advancements in Forest Fire Prevention: A Comprehensive Survey
Francesco Carta, Chiara Zidda, Martina Putzu, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6635-6635
Open Access | Times Cited: 60
A systematic review of trustworthy artificial intelligence applications in natural disasters
A. S. Albahri, Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109409-109409
Open Access | Times Cited: 48
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
Human-centered GeoAI foundation models: where GeoAI meets human dynamics
Xinyue Ye, Jiaxin Du, Xinyu Li, et al.
Urban Informatics (2025) Vol. 4, Iss. 1
Open Access | Times Cited: 2
Assessment of Wildfire Susceptibility and Wildfire Threats to Ecological Environment and Urban Development Based on GIS and Multi-Source Data: A Case Study of Guilin, China
Weiting Yue, Chao Ren, Yueji Liang, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2659-2659
Open Access | Times Cited: 27
The challenges of integrating explainable artificial intelligence into GeoAI
Xing Jin, Renée Sieber
Transactions in GIS (2023) Vol. 27, Iss. 3, pp. 626-645
Open Access | Times Cited: 24
SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of Contributing Factors in Izmir, Türkiye
Muzaffer Can İban, Oktay Aksu
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2842-2842
Open Access | Times Cited: 10
Forest fire risk assessment model optimized by stochastic average gradient descent
Zexin Fu, Adu Gong, Jia Wan, et al.
Ecological Indicators (2025) Vol. 170, pp. 113006-113006
Open Access | Times Cited: 1
Modelling current and future forest fire susceptibility in north-eastern Germany
K Horn, Stenka Vulova, Hanyu Li, et al.
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 1, pp. 383-401
Open Access | Times Cited: 1
Understanding the coupling effect of multiple urban features on Land Surface Temperature in Europe
Yaxue Ren, Fei Feng, Mario Elia, et al.
Urban forestry & urban greening (2025), pp. 128723-128723
Open Access | Times Cited: 1
On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis
Banamali Panigrahi, Saman Razavi, Lorne E. Doig, et al.
Water Resources Research (2025) Vol. 61, Iss. 3
Open Access | Times Cited: 1
Active governance of agro-pastoral, forest and protected areas mitigates wildfire impacts in Italy
Gian Luca Spadoni, José V. Moris, Giorgio Vacchiano, et al.
The Science of The Total Environment (2023) Vol. 890, pp. 164281-164281
Open Access | Times Cited: 19
Making sense of chemical space network shows signs of criticality
Nicola Amoroso, Nicola Gambacorta, Fabrizio Mastrolorito, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
The importance degree of weather elements in driving wildfire occurrence in mainland China
Meng Guo, Qichao Yao, Haoqi Suo, et al.
Ecological Indicators (2023) Vol. 148, pp. 110152-110152
Open Access | Times Cited: 15
RETRACTED ARTICLE: Wildfire risk exploration: leveraging SHAP and TabNet for precise factor analysis
Faiza Qayyum, Harun Jamil, Tariq Alsboui, et al.
Fire Ecology (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 4
Explainable artificial intelligence for genotype-to-phenotype prediction in plant breeding: a case study with a dataset from an almond germplasm collection
Pierfrancesco Novielli, Donato Romano, Stefano Pavan, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 4
Geospatial XAI: A Review
Cédric Roussel, Klaus Böhm
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 9, pp. 355-355
Open Access | Times Cited: 11
Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling
Ryan O’Loughlin, Dan Li, Richard Neale, et al.
Geoscientific model development (2025) Vol. 18, Iss. 3, pp. 787-802
Open Access
Global lightning-ignited wildfires prediction and climate change projections based on explainable machine learning models
Assaf Shmuel, Teddy Lazebnik, Oren Glickman, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open 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
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.
Journal of Environmental Management (2025) Vol. 380, pp. 124963-124963
Closed Access
Digital twin-enabled post-disaster damage and recovery monitoring with deep learning: leveraging transfer learning, attention mechanisms, and explainable AI
Umut Lagap, Saman Ghaffarian
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Advancements in Artificial Intelligence Applications for Forest Fire Prediction
Hui Liu, Lifu Shu, Xiaodong Liu, et al.
Forests (2025) Vol. 16, Iss. 4, pp. 704-704
Open Access
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