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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:

GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment
Binh Thai Pham, Mohammadtaghi Avand, Saeid Janizadeh, et al.
Water (2020) Vol. 12, Iss. 3, pp. 683-683
Open Access | Times Cited: 203

Showing 1-25 of 203 citing articles:

Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
Quang Hung Nguyen, Hai‐Bang Ly, Lanh Si Ho, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 448
Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101075-101075
Open Access | Times Cited: 419
Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms
Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3568-3568
Open Access | Times Cited: 188
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: 154
Flood susceptibility mapping of the Western Ghat coastal belt using multi-source geospatial data and analytical hierarchy process (AHP)
Sumit Das
Remote Sensing Applications Society and Environment (2020) Vol. 20, pp. 100379-100379
Closed Access | Times Cited: 151
Identifying the essential conditioning factors of landslide susceptibility models under different grid resolutions using hybrid machine learning: A case of Wushan and Wuxi counties, China
Mingyong Liao, Haijia Wen, Ling Yang
CATENA (2022) Vol. 217, pp. 106428-106428
Closed Access | Times Cited: 90
Applications of Stacking/Blending ensemble learning approaches for evaluating flash flood susceptibility
Jing Yao, Xiaoxiang Zhang, Weicong Luo, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102932-102932
Open Access | Times Cited: 68
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
Flood Susceptibility Assessment with Random Sampling Strategy in Ensemble Learning (RF and XGBoost)
Hancheng Ren, Bo Pang, Ping Bai, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 320-320
Open Access | Times Cited: 24
Flood susceptibility mapping contributes to disaster risk reduction: A case study in Sindh, Pakistan
Shoukat Ali Shah, Songtao Ai
International Journal of Disaster Risk Reduction (2024) Vol. 108, pp. 104503-104503
Open Access | Times Cited: 21
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: 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: 125
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: 124
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: 120
Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins
Amirhosein Mosavi, Mohammad Golshan, Saeid Janizadeh, et al.
Geocarto International (2020) Vol. 37, Iss. 9, pp. 2541-2560
Closed Access | Times Cited: 112
A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil
Binh Thai Pham, Chongchong Qi, Lanh Si Ho, et al.
Sustainability (2020) Vol. 12, Iss. 6, pp. 2218-2218
Open Access | Times Cited: 108
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
Flash Flood Susceptibility Assessment and Zonation Using an Integrating Analytic Hierarchy Process and Frequency Ratio Model for the Chitral District, Khyber Pakhtunkhwa, Pakistan
Waqas Hassan, Linlin Lu, Aqil Tariq, et al.
Water (2021) Vol. 13, Iss. 12, pp. 1650-1650
Open Access | Times Cited: 95
Urban Flood-Risk Assessment: Integration of Decision-Making and Machine Learning
Fereshteh Taromideh, Ramin Fazloula, Bahram Choubin, et al.
Sustainability (2022) Vol. 14, Iss. 8, pp. 4483-4483
Open Access | Times Cited: 67
Spatial Prediction of Future Flood Risk: An Approach to the Effects of Climate Change
Mohammadtaghi Avand, Hamid Reza Moradi, Mehdi Ramazanzadeh lasboyee
Geosciences (2021) Vol. 11, Iss. 1, pp. 25-25
Open Access | Times Cited: 63
Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data
Gerasimos Antzoulatos, Ioannis-Omiros Kouloglou, Marios Bakratsas, et al.
Sustainability (2022) Vol. 14, Iss. 6, pp. 3251-3251
Open Access | Times Cited: 61
How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region
Tamal Kanti Saha, Swades Pal, Swapan Talukdar, et al.
Journal of Environmental Management (2021) Vol. 297, pp. 113344-113344
Open Access | Times Cited: 56
Flood susceptibility mapping using meta-heuristic algorithms
Alireza Arabameri, Amir Seyed Danesh, M. Santosh, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 949-974
Open Access | Times Cited: 54
Flood susceptibility modeling based on new hybrid intelligence model: Optimization of XGboost model using GA metaheuristic algorithm
Nguyễn Thị Thùy Linh, Manish Pandey, Saeid Janizadeh, et al.
Advances in Space Research (2022) Vol. 69, Iss. 9, pp. 3301-3318
Closed Access | Times Cited: 52
Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United States
Ömer Ekmekcioğlu, Kerim Koç, Mehmet Özger, et al.
Journal of Hydrology (2022) Vol. 610, pp. 127877-127877
Closed Access | Times Cited: 44
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