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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:

Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms
Seyed Vahid Razavi Termeh, Aiding Kornejady, Hamid Reza Pourghasemi, et al.
The Science of The Total Environment (2017) Vol. 615, pp. 438-451
Closed Access | Times Cited: 428

Showing 26-50 of 428 citing articles:

A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping
Zhice Fang, Yi Wang, Ling Peng, et al.
International Journal of Geographical Information Science (2020) Vol. 35, Iss. 2, pp. 321-347
Open Access | Times Cited: 211
Predicting flood susceptibility using LSTM neural networks
Zhice Fang, Yi Wang, Ling Peng, et al.
Journal of Hydrology (2020) Vol. 594, pp. 125734-125734
Open Access | Times Cited: 208
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: 207
Urbanization and climate change implications in flood risk management: Developing an efficient decision support system for flood susceptibility mapping
Shereif H. Mahmoud, Thian Yew Gan
The Science of The Total Environment (2018) Vol. 636, pp. 152-167
Closed Access | Times Cited: 201
Geospatial mapping of flood susceptibility and hydro-geomorphic response to the floods in Ulhas basin, India
Sumit Das
Remote Sensing Applications Society and Environment (2019) Vol. 14, pp. 60-74
Closed Access | Times Cited: 197
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: 196
Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping
Quang‐Thanh Bui, Quoc‐Huy Nguyen, Xuan Linh Nguyen, et al.
Journal of Hydrology (2019) Vol. 581, pp. 124379-124379
Closed Access | Times Cited: 191
A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment
Khabat Khosravi, Majid Sartaj, Frank T.‐C. Tsai, et al.
The Science of The Total Environment (2018) Vol. 642, pp. 1032-1049
Closed Access | Times Cited: 188
Flood Susceptibility Mapping Using GIS-Based Analytic Network Process: A Case Study of Perlis, Malaysia
Umar Lawal Dano, Abdul‐Lateef Balogun, Abdul-Nasir Matori, et al.
Water (2019) Vol. 11, Iss. 3, pp. 615-615
Open Access | Times Cited: 186
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
Swapan Talukdar, Bonosri Ghose, Shahfahad, et al.
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 12, pp. 2277-2300
Closed Access | Times Cited: 184
Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India
Aman Arora, Alireza Arabameri, Manish Pandey, et al.
The Science of The Total Environment (2020) Vol. 750, pp. 141565-141565
Open Access | Times Cited: 180
Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud
Kishore Chandra Swain, Chiranjit Singha, L. K. Nayak
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 12, pp. 720-720
Open Access | Times Cited: 175
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
Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer
Wei Chen, Xi Chen, Jianbing Peng, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 1, pp. 93-107
Open 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
A new approach to flood susceptibility assessment in data-scarce and ungauged regions based on GIS-based hybrid multi criteria decision-making method
Yousef Kanani‐Sadat, Reza Arabsheibani, Farid Karimipour, et al.
Journal of Hydrology (2019) Vol. 572, pp. 17-31
Closed Access | Times Cited: 164
Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran
Khabat Khosravi, Mahdi Panahi, Ali Golkarian, et al.
Journal of Hydrology (2020) Vol. 591, pp. 125552-125552
Closed Access | Times Cited: 162
Threats of climate and land use change on future flood susceptibility
Paramita Roy, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Journal of Cleaner Production (2020) Vol. 272, pp. 122757-122757
Closed Access | Times Cited: 160
Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms
Mahdi Panahi, Amiya Gayen, Hamid Reza Pourghasemi, et al.
The Science of The Total Environment (2020) Vol. 741, pp. 139937-139937
Closed Access | Times Cited: 155
Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania
Romulus Costache, Dieu Tien Bui
The Science of The Total Environment (2019) Vol. 691, pp. 1098-1118
Closed Access | Times Cited: 149
Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping
Peyman Yariyan, Saeid Janizadeh, Tran Van Phong, et al.
Water Resources Management (2020) Vol. 34, Iss. 9, pp. 3037-3053
Closed Access | Times Cited: 148
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
Flood susceptibility mapping by integrating frequency ratio and index of entropy with multilayer perceptron and classification and regression tree
Yi Wang, Zhice Fang, Haoyuan Hong, et al.
Journal of Environmental Management (2021) Vol. 289, pp. 112449-112449
Closed Access | Times Cited: 122
Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management
Sheikh Kamran Abid, Noralfishah Sulaiman, Shiau Wei Chan, et al.
Sustainability (2021) Vol. 13, Iss. 22, pp. 12560-12560
Open Access | Times Cited: 116
Multi-criteria decision based geospatial mapping of flood susceptibility and temporal hydro-geomorphic changes in the Subarnarekha basin, India
Sumit Das, Amitesh Gupta
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101206-101206
Open Access | Times Cited: 111

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