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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:

New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
Dieu Tien Bui, Khabat Khosravi, Shaojun Li, et al.
Water (2018) Vol. 10, Iss. 9, pp. 1210-1210
Open Access | Times Cited: 215

Showing 26-50 of 215 citing articles:

Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression
Soroosh Mehravar, Seyed Vahid Razavi-Termeh, Armin Moghimi, et al.
Journal of Hydrology (2023) Vol. 617, pp. 129100-129100
Open Access | Times Cited: 76
Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms
Mostafa Riazi, Khabat Khosravi, Kaka Shahedi, et al.
The Science of The Total Environment (2023) Vol. 871, pp. 162066-162066
Closed Access | Times Cited: 48
Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Myoung-Bae Seo, et al.
The Science of The Total Environment (2023) Vol. 873, pp. 162285-162285
Closed Access | Times Cited: 47
Urban Flood Hazard Assessment and Management Practices in South Asia: A Review
Bikram Manandhar, Shenghui Cui, Lihong Wang, et al.
Land (2023) Vol. 12, Iss. 3, pp. 627-627
Open Access | Times Cited: 43
A novel machine learning tool for current and future flood susceptibility mapping by integrating remote sensing and geographic information systems
Afshin Amiri, Keyvan Soltani, Isa Ebtehaj, et al.
Journal of Hydrology (2024) Vol. 632, pp. 130936-130936
Closed Access | Times Cited: 27
A novel deep learning framework for landslide susceptibility assessment using improved deep belief networks with the intelligent optimization algorithm
Shaoqiang Meng, Zhenming Shi, Gang Li, et al.
Computers and Geotechnics (2024) Vol. 167, pp. 106106-106106
Closed Access | Times Cited: 23
Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin
Yogesh Bhattarai, Sunil Duwal, Sanjib Sharma, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 16
Flood susceptibility mapping using a novel integration of multi-temporal sentinel-1 data and eXtreme deep learning model
Rami Al‐Ruzouq, Abdallah Shanableh, Ratiranjan Jena, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 3, pp. 101780-101780
Open Access | Times Cited: 15
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
Dieu Tien Bui, Mahdi Panahi, Himan Shahabi, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 157
Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles
Romulus Costache, Dieu Tien Bui
The Science of The Total Environment (2020) Vol. 712, pp. 136492-136492
Closed Access | Times Cited: 133
Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search
Esmaeel Dodangeh, Mahdi Panahi, Fatemeh Rezaie, et al.
Journal of Hydrology (2020) Vol. 590, pp. 125423-125423
Closed Access | Times Cited: 131
Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
Himan Shahabi, Ataollah Shirzadi, Somayeh Ronoud, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101100-101100
Open Access | Times Cited: 131
Spatial predication of flood zonation mapping in Kan River Basin, Iran, using artificial neural network algorithm
Mohammad Hossein Jahangir, Seyedeh Mahsa Mousavi Reineh, Mahnaz Abolghasemi
Weather and Climate Extremes (2019) Vol. 25, pp. 100215-100215
Open Access | Times Cited: 127
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: 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: 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: 118
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: 117
Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?
Binh Thai Pham, Chinh Luu, Tran Van Phong, et al.
Journal of Hydrology (2020) Vol. 592, pp. 125615-125615
Closed Access | Times Cited: 117
Flood susceptibility modeling and hazard perception in Rwanda
Richard Mind’je, Lanhai Li, Amobichukwu Chukwudi Amanambu, et al.
International Journal of Disaster Risk Reduction (2019) Vol. 38, pp. 101211-101211
Closed 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
Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment
Romulus Costache, Quoc Bao Pham, Mohammadtaghi Avand, et al.
Journal of Environmental Management (2020) Vol. 265, pp. 110485-110485
Closed Access | Times Cited: 110
Is multi-hazard mapping effective in assessing natural hazards and integrated watershed management?
Hamid Reza Pourghasemi, Amiya Gayen, Mohsen Edalat, et al.
Geoscience Frontiers (2019) Vol. 11, Iss. 4, pp. 1203-1217
Open Access | Times Cited: 105
A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides
Dieu Tien Bui, Himan Shahabi, Ataollah Shirzadi, et al.
Remote Sensing (2018) Vol. 10, Iss. 10, pp. 1538-1538
Open Access | Times Cited: 99
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: 97

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