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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:

Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability
Abolfazl Jaafari, Eric K. Zenner, Mahdi Panahi, et al.
Agricultural and Forest Meteorology (2019) Vol. 266-267, pp. 198-207
Closed Access | Times Cited: 265

Showing 1-25 of 265 citing articles:

E-Commerce Promotional Products Selection Using SWARA and TOPSIS
Nabilla Farah Raissa Maharani, Novandra Rhezza Pratama, M. Dachyar
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 2925-2932
Open Access | Times Cited: 1548
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
Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory
Thimmaiah Gudiyangada Nachappa, Sepideh Tavakkoli Piralilou, Khalil Gholamnia, et al.
Journal of Hydrology (2020) Vol. 590, pp. 125275-125275
Closed Access | Times Cited: 313
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
Himan Shahabi, Ataollah Shirzadi, Kayvan Ghaderi, et al.
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 266-266
Open Access | Times Cited: 301
COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach
Miodrag Živković, Nebojša Bačanin, K. Venkatachalam, et al.
Sustainable Cities and Society (2020) Vol. 66, pp. 102669-102669
Open Access | Times Cited: 297
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
Dong Van Dao, Abolfazl Jaafari, Mahmoud Bayat, et al.
CATENA (2020) Vol. 188, pp. 104451-104451
Closed Access | Times Cited: 292
Tackling environmental challenges in pollution controls using artificial intelligence: A review
Zhiping Ye, Jiaqian Yang, Na Zhong, et al.
The Science of The Total Environment (2019) Vol. 699, pp. 134279-134279
Closed Access | Times Cited: 276
A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping
Dieu Tien Bui, Phuong Thao Thi Ngo, Tien Dat Pham, et al.
CATENA (2019) Vol. 179, pp. 184-196
Closed Access | Times Cited: 270
Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China
Guoli Zhang, Ming Wang, Kai Liu
International Journal of Disaster Risk Science (2019) Vol. 10, Iss. 3, pp. 386-403
Open Access | Times Cited: 268
The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations
Josh Cowls, Andreas Tsamados, Mariarosaria Taddeo, et al.
AI & Society (2021) Vol. 38, Iss. 1, pp. 283-307
Open Access | Times Cited: 242
Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction
Binh Thai Pham, Abolfazl Jaafari, Mohammadtaghi Avand, et al.
Symmetry (2020) Vol. 12, Iss. 6, pp. 1022-1022
Open Access | Times Cited: 231
Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
Viet‐Ha Nhu, Ataollah Shirzadi, Himan Shahabi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 8, pp. 2749-2749
Open Access | Times Cited: 221
Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
Binh Thai Pham, Ataollah Shirzadi, Himan Shahabi, et al.
Sustainability (2019) Vol. 11, Iss. 16, pp. 4386-4386
Open Access | Times Cited: 168
Multi-hazard probability assessment and mapping in Iran
Hamid Reza Pourghasemi, Amiya Gayen, Mahdi Panahi, et al.
The Science of The Total Environment (2019) Vol. 692, pp. 556-571
Closed Access | Times Cited: 167
Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model
Duie Tien Bui, Khabat Khosravi, Himan Shahabi, et al.
Remote Sensing (2019) Vol. 11, Iss. 13, pp. 1589-1589
Open Access | Times Cited: 166
Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam
Binh Thai Pham, Chinh Luu, Tran Van Phong, et al.
Journal of Hydrology (2020) Vol. 592, pp. 125815-125815
Closed Access | Times Cited: 166
Spatial Prediction of Wildfire Susceptibility Using Field Survey GPS Data and Machine Learning Approaches
Omid Ghorbanzadeh, Khalil Valizadeh Kamran, Thomas Blaschke, et al.
Fire (2019) Vol. 2, Iss. 3, pp. 43-43
Open Access | Times Cited: 165
Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping
Phong Tung Nguyen, Duong Hai Ha, Mohammadtaghi Avand, et al.
Applied Sciences (2020) Vol. 10, Iss. 7, pp. 2469-2469
Open Access | Times Cited: 155
Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
Wei Chen, Haoyuan Hong, Mahdi Panahi, et al.
Applied Sciences (2019) Vol. 9, Iss. 18, pp. 3755-3755
Open Access | Times Cited: 154
Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
Binh Thai Pham, Manh Duc Nguyen, Dong Van Dao, et al.
The Science of The Total Environment (2019) Vol. 679, pp. 172-184
Closed Access | Times Cited: 151
Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility
Hossein Moayedi, Mohammad Mehrabi, Dieu Tien Bui, et al.
Journal of Environmental Management (2020) Vol. 260, pp. 109867-109867
Closed Access | Times Cited: 141
Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey
Muzaffer Can İban, Aliihsan Şekertekin
Ecological Informatics (2022) Vol. 69, pp. 101647-101647
Closed Access | Times Cited: 112
Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India
K. Nagaraju Shivaprakash, Niraj Swami, Sagar Mysorekar, et al.
Sustainability (2022) Vol. 14, Iss. 12, pp. 7154-7154
Open Access | Times Cited: 100
The Ethics of Artificial Intelligence
Luciano Floridi
Oxford University Press eBooks (2023)
Closed Access | Times Cited: 95
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: 87
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