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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:

A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data
Phuong Thao Thi Ngo, Nhat‐Duc Hoang, Biswajeet Pradhan, et al.
Sensors (2018) Vol. 18, Iss. 11, pp. 3704-3704
Open Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area
Dieu Tien Bui, Nhat‐Duc Hoang, Francisco Martínez‐Álvarez, et al.
The Science of The Total Environment (2019) Vol. 701, pp. 134413-134413
Closed Access | Times Cited: 332
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
Farzaneh Sajedi Hosseini, Bahram Choubin, Amir Mosavi, et al.
The Science of The Total Environment (2019) Vol. 711, pp. 135161-135161
Open Access | Times Cited: 304
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
Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods
Dieu Tien Bui, Paraskevas Tsangaratos, Phuong Thao Thi Ngo, et al.
The Science of The Total Environment (2019) Vol. 668, pp. 1038-1054
Closed Access | Times Cited: 248
Flood hazard mapping methods: A review
Rofiat Bunmi Mudashiru, Nuridah Sabtu, Ismail Abustan, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126846-126846
Closed Access | Times Cited: 233
Deep learning methods for flood mapping: a review of existing applications and future research directions
Roberto Bentivoglio, Elvin Isufi, Sebastiaan N. Jonkman, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 16, pp. 4345-4378
Open Access | Times Cited: 203
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
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
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
Novel ensemble machine learning models in flood susceptibility mapping
Pankaj Prasad, Victor J. Loveson, Bappa Das, et al.
Geocarto International (2021) Vol. 37, Iss. 16, pp. 4571-4593
Closed Access | Times Cited: 106
Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India
Subbarayan Saravanan, Devanantham Abijith, Nagireddy Masthan Reddy, et al.
Urban Climate (2023) Vol. 49, pp. 101503-101503
Closed Access | Times Cited: 59
Flood susceptible prediction through the use of geospatial variables and machine learning methods
Navid Mahdizadeh Gharakhanlou, Liliana Pérez
Journal of Hydrology (2023) Vol. 617, pp. 129121-129121
Closed Access | Times Cited: 54
GIS-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India
Nur Islam Saikh, Prolay Mondal
Natural Hazards Research (2023) Vol. 3, Iss. 3, pp. 420-436
Open Access | Times Cited: 47
Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review
Yazeed Yasin Ghadi, Tehseen Mazhar, Tamara Al Shloul, et al.
IEEE Access (2024) Vol. 12, pp. 12699-12719
Open Access | Times Cited: 29
Investigating the Role of the Key Conditioning Factors in Flood Susceptibility Mapping Through Machine Learning Approaches
Khalifa M. Al‐Kindi, Zahra Alabri
Earth Systems and Environment (2024) Vol. 8, Iss. 1, pp. 63-81
Open Access | Times Cited: 21
A GIS-Based Flood Risk Assessment Using the Decision-Making Trial and Evaluation Laboratory Approach at a Regional Scale
Eirini Efraimidou, Mike Spiliotis
Environmental Processes (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 20
Risk assessment and sensitivity analysis of flash floods in ungauged basins using coupled hydrologic and hydrodynamic models
Wenjing Li, Kairong Lin, Tongtiegang Zhao, et al.
Journal of Hydrology (2019) Vol. 572, pp. 108-120
Closed Access | Times Cited: 135
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: 121
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: 111
Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques
Binh Thai Pham, Abolfazl Jaafari, Tran Van Phong, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101105-101105
Open Access | Times Cited: 95
A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area
Dieu Tien Bui, Nhat‐Duc Hoang, Tien Dat Pham, et al.
Journal of Hydrology (2019) Vol. 575, pp. 314-326
Closed Access | Times Cited: 88
The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes
Hossein Moayedi, Dieu Tien Bui, Mesut Gör, et al.
ISPRS International Journal of Geo-Information (2019) Vol. 8, Iss. 9, pp. 391-391
Open Access | Times Cited: 84
Flood risk assessment using geospatial data and multi-criteria decision approach: a study from historically active flood-prone region of Himalayan foothill, India
Subham Roy, Arghadeep Bose, Indrajit Roy Chowdhury
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 11
Closed Access | Times Cited: 84
Flood susceptibility assessment using extreme gradient boosting (EGB), Iran
Sajjad Mirzaei, Mehdi Vafakhah, Biswajeet Pradhan, et al.
Earth Science Informatics (2020) Vol. 14, Iss. 1, pp. 51-67
Closed Access | Times Cited: 82
Hybrid Models Incorporating Bivariate Statistics and Machine Learning Methods for Flash Flood Susceptibility Assessment Based on Remote Sensing Datasets
Jun Liu, Jiyan Wang, Junnan Xiong, et al.
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4945-4945
Open Access | Times Cited: 57
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