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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 26-50 of 265 citing articles:

A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions
Sepideh Tavakkoli Piralilou, Golzar Einali, Omid Ghorbanzadeh, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 672-672
Open Access | Times Cited: 82
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting
Sibo Cheng, I. Colin Prentice, Yuhan Huang, et al.
Journal of Computational Physics (2022) Vol. 464, pp. 111302-111302
Open Access | Times Cited: 73
Artificial Intelligence in Environmental Monitoring: Advancements, Challenges, and Future Directions
David B. Olawade, Ojima Z. Wada, Abimbola O. Ige, et al.
Hygiene and Environmental Health Advances (2024), pp. 100114-100114
Open Access | Times Cited: 29
CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction
Mohammad Marjani, Masoud Mahdianpari, Fariba Mohammadimanesh
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1467-1467
Open Access | Times Cited: 20
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
Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques
Alireza Arabameri, Sunil Saha, Wei Chen, et al.
Journal of Hydrology (2020) Vol. 587, pp. 125007-125007
Closed Access | Times Cited: 139
Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data
Bahareh Kalantar, Naonori Ueda, Mohammed Oludare Idrees, et al.
Remote Sensing (2020) Vol. 12, Iss. 22, pp. 3682-3682
Open Access | Times Cited: 139
Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping
Binh Thai Pham, T. Nguyen‐Thoi, Chongchong Qi, et al.
CATENA (2020) Vol. 195, pp. 104805-104805
Closed Access | Times Cited: 136
Hybrid computational intelligence models for groundwater potential mapping
Binh Thai Pham, Abolfazl Jaafari, Indra Prakash, et al.
CATENA (2019) Vol. 182, pp. 104101-104101
Closed Access | Times Cited: 130
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
Phong Tung Nguyen, Duong Hai Ha, Abolfazl Jaafari, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 7, pp. 2473-2473
Open Access | Times Cited: 125
Groundwater spring potential mapping using population-based evolutionary algorithms and data mining methods
Wei Chen, Paraskevas Tsangaratos, Ioanna Ilia, et al.
The Science of The Total Environment (2019) Vol. 684, pp. 31-49
Closed Access | Times Cited: 122
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
Viet‐Ha Nhu, Ayub Mohammadi, Himan Shahabi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 14, pp. 4933-4933
Open Access | Times Cited: 121
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
Xinxiang Lei, Wei Chen, Mohammadtaghi Avand, et al.
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2478-2478
Open Access | Times Cited: 121
Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq
Khabat Khosravi, Prasad Daggupati, Mohammad Taghi Alami, et al.
Computers and Electronics in Agriculture (2019) Vol. 167, pp. 105041-105041
Closed Access | Times Cited: 120
Deep learning neural networks for spatially explicit prediction of flash flood probability
Mahdi Panahi, Abolfazl Jaafari, Ataollah Shirzadi, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101076-101076
Open Access | Times Cited: 120
The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers
Davoud Davoudi Moghaddam, Omid Rahmati, Mahdi Panahi, et al.
CATENA (2019) Vol. 187, pp. 104421-104421
Open Access | Times Cited: 119
Comparisons of Diverse Machine Learning Approaches for Wildfire Susceptibility Mapping
Khalil Gholamnia, Thimmaiah Gudiyangada Nachappa, Omid Ghorbanzadeh, et al.
Symmetry (2020) Vol. 12, Iss. 4, pp. 604-604
Open Access | Times Cited: 119
New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed
Dieu Tien Bui, Ataollah Shirzadi, Himan Shahabi, et al.
Forests (2019) Vol. 10, Iss. 9, pp. 743-743
Open Access | Times Cited: 118
Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm
Dieu Tien Bui, Himan Shahabi, Ebrahim Omidvar, et al.
Remote Sensing (2019) Vol. 11, Iss. 8, pp. 931-931
Open Access | Times Cited: 116
Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran
Viet‐Ha Nhu, Ataollah Shirzadi, Himan Shahabi, et al.
Forests (2020) Vol. 11, Iss. 4, pp. 421-421
Open Access | Times Cited: 115
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)
Dieu Tien Bui, Ataollah Shirzadi, Himan Shahabi, et al.
Sensors (2019) Vol. 19, Iss. 11, pp. 2444-2444
Open Access | Times Cited: 110
Predicting the deforestation probability using the binary logistic regression, random forest, ensemble rotational forest, REPTree: A case study at the Gumani River Basin, India
Sunil Saha, Mantosh Saha, Kaustuv Mukherjee, et al.
The Science of The Total Environment (2020) Vol. 730, pp. 139197-139197
Closed Access | Times Cited: 109
Predicting spatial patterns of wildfire susceptibility in the Huichang County, China: An integrated model to analysis of landscape indicators
Haoyuan Hong, Abolfazl Jaafari, Eric K. Zenner
Ecological Indicators (2019) Vol. 101, pp. 878-891
Closed Access | Times Cited: 101
GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
Viet‐Ha Nhu, Saeid Janizadeh, Mohammadtaghi Avand, et al.
Applied Sciences (2020) Vol. 10, Iss. 6, pp. 2039-2039
Open Access | Times Cited: 98
A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers
Dieu Tien Bui, Ataollah Shirzadi, Ata Amini, et al.
Sustainability (2020) Vol. 12, Iss. 3, pp. 1063-1063
Open Access | Times Cited: 95

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