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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:

Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method
Mahyat Shafapour Tehrany, Biswajeet Pradhan, Mustafa Neamah Jebur
Stochastic Environmental Research and Risk Assessment (2015) Vol. 29, Iss. 4, pp. 1149-1165
Closed Access | Times Cited: 414

Showing 1-25 of 414 citing articles:

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
Khabat Khosravi, Binh Thai Pham, Kamran Chapi, et al.
The Science of The Total Environment (2018) Vol. 627, pp. 744-755
Closed Access | Times Cited: 641
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
Khabat Khosravi, Himan Shahabi, Binh Thai Pham, et al.
Journal of Hydrology (2019) Vol. 573, pp. 311-323
Closed Access | Times Cited: 546
A novel hybrid artificial intelligence approach for flood susceptibility assessment
Kamran Chapi, Vijay P. Singh, Ataollah Shirzadi, et al.
Environmental Modelling & Software (2017) Vol. 95, pp. 229-245
Closed Access | Times Cited: 529
Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)
Bahareh Kalantar, Biswajeet Pradhan, Seyed Amir Naghibi, et al.
Geomatics Natural Hazards and Risk (2017) Vol. 9, Iss. 1, pp. 49-69
Open Access | Times Cited: 483
Flood Prediction Using Machine Learning Models: Literature Review
Amir Mosavi, Pınar Öztürk, Kwok‐wing Chau
Water (2018) Vol. 10, Iss. 11, pp. 1536-1536
Open Access | Times Cited: 474
A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique
Khabat Khosravi, Ebrahim Nohani, Maroufinia Edris, et al.
Natural Hazards (2016) Vol. 83, Iss. 2, pp. 947-987
Closed Access | Times Cited: 447
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: 425
Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods
Wei Chen, Yang Li, Weifeng Xue, et al.
The Science of The Total Environment (2019) Vol. 701, pp. 134979-134979
Closed Access | Times Cited: 385
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
Haoyuan Hong, Mahdi Panahi, Ataollah Shirzadi, et al.
The Science of The Total Environment (2018) Vol. 621, pp. 1124-1141
Closed Access | Times Cited: 375
Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China
Haoyuan Hong, Paraskevas Tsangaratos, Ioanna Ilia, et al.
The Science of The Total Environment (2017) Vol. 625, pp. 575-588
Closed Access | Times Cited: 371
Survey of computational intelligence as basis to big flood management: challenges, research directions and future work
Farnaz Fotovatikhah, Manuel Herrera, Shahaboddin Shamshirband, et al.
Engineering Applications of Computational Fluid Mechanics (2018) Vol. 12, Iss. 1, pp. 411-437
Open Access | Times Cited: 335
Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS
Dieu Tien Bui, Biswajeet Pradhan, Haleh Nampak, et al.
Journal of Hydrology (2016) Vol. 540, pp. 317-330
Closed Access | Times Cited: 324
Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran
Phuong Thao Thi Ngo, Mahdi Panahi, Khabat Khosravi, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 505-519
Open Access | Times Cited: 307
Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory
Thimmaiah Gudiyangada Nachappa, Sepideh Tavakkoli Piralilou, Khalil Gholamnia, et al.
Journal of Hydrology (2020) Vol. 590, pp. 125275-125275
Closed Access | Times Cited: 301
GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models
Wei Chen, Hui Li, Enke Hou, et al.
The Science of The Total Environment (2018) Vol. 634, pp. 853-867
Open Access | Times Cited: 287
The future of extreme climate in Iran
Saeid Ashraf Vaghefi, Malihe Keykhai, Farshid Jahanbakhshi, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 272
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
Wei Chen, Haoyuan Hong, Shaojun Li, et al.
Journal of Hydrology (2019) Vol. 575, pp. 864-873
Closed Access | Times Cited: 264
Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion
Omid Rahmati, N Tahmasebipour, Ali Haghizadeh, et al.
Geomorphology (2017) Vol. 298, pp. 118-137
Closed Access | Times Cited: 261
Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon’s entropy, statistical index, and weighting factor models
Khabat Khosravi, Hamid Reza Pourghasemi, Kamran Chapi, et al.
Environmental Monitoring and Assessment (2016) Vol. 188, Iss. 12
Closed Access | Times Cited: 257
Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area
Meriame Mohajane, Romulus Costache, Firoozeh Karimi, et al.
Ecological Indicators (2021) Vol. 129, pp. 107869-107869
Open Access | Times Cited: 256
A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
Alireza Arabameri, Khalil Rezaei, Artemi Cerdà, et al.
The Science of The Total Environment (2019) Vol. 660, pp. 443-458
Closed Access | Times Cited: 254
GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin, Slovakia
Sk Ajim Ali, Farhana Parvin, Quoc Bao Pham, et al.
Ecological Indicators (2020) Vol. 117, pp. 106620-106620
Open Access | Times Cited: 254
Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process
Matej Vojtek, Jana Vojteková
Water (2019) Vol. 11, Iss. 2, pp. 364-364
Open Access | Times Cited: 253
Flood susceptibility mapping using convolutional neural network frameworks
Yi Wang, Zhice Fang, Haoyuan Hong, et al.
Journal of Hydrology (2019) Vol. 582, pp. 124482-124482
Closed Access | Times Cited: 253
Flood susceptibility analysis through remote sensing, GIS and frequency ratio model
Sailesh Samanta, Dilip Kumar Pal, Babita Palsamanta
Applied Water Science (2018) Vol. 8, Iss. 2
Open Access | Times Cited: 250
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