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 mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran
Omid Rahmati, Hamid Reza Pourghasemi, Hossein Zeinivand
Geocarto International (2015) Vol. 31, Iss. 1, pp. 42-70
Closed Access | Times Cited: 518

Showing 1-25 of 518 citing articles:

An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
Bahram Choubin, Ehsan Moradi, Mohammad Golshan, et al.
The Science of The Total Environment (2018) Vol. 651, pp. 2087-2096
Open Access | Times Cited: 653

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

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

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis
Omid Rahmati, Hossein Zeinivand, Mosa Besharat
Geomatics Natural Hazards and Risk (2015) Vol. 7, Iss. 3, pp. 1000-1017
Open Access | Times Cited: 398

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

Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea
Sunmin Lee, Jeong-Cheol Kim, Hyung-Sup Jung, et al.
Geomatics Natural Hazards and Risk (2017) Vol. 8, Iss. 2, pp. 1185-1203
Open Access | Times Cited: 328

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

Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques
Mahyat Shafapour Tehrany, Simon Jones, Farzin Shabani
CATENA (2018) Vol. 175, pp. 174-192
Closed Access | Times Cited: 289

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

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

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

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: 243

Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)
Mohammad Ahmadlou, Mohammad Karimi, Somayeh Alizadeh, et al.
Geocarto International (2018) Vol. 34, Iss. 11, pp. 1252-1272
Closed Access | Times Cited: 241

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas
Chen Cao, Peihua Xu, Yihong Wang, et al.
Sustainability (2016) Vol. 8, Iss. 9, pp. 948-948
Open Access | Times Cited: 232

Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran
Saeid Janizadeh, Mohammadtaghi Avand, Abolfazl Jaafari, et al.
Sustainability (2019) Vol. 11, Iss. 19, pp. 5426-5426
Open Access | Times Cited: 232

Flood Susceptibility Assessment in Bangladesh Using Machine Learning and Multi-criteria Decision Analysis
Mahfuzur Rahman, Chen Ningsheng, Md Monirul Islam, et al.
Earth Systems and Environment (2019) Vol. 3, Iss. 3, pp. 585-601
Closed Access | Times Cited: 229

Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison
Omid Rahmati, Ali Haghizadeh, Hamid Reza Pourghasemi, et al.
Natural Hazards (2016) Vol. 82, Iss. 2, pp. 1231-1258
Closed Access | Times Cited: 228

Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques
Romulus Costache, Quoc Bao Pham, Ehsan Sharifi, et al.
Remote Sensing (2019) Vol. 12, Iss. 1, pp. 106-106
Open Access | Times Cited: 226

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: 220

Integrated machine learning methods with resampling algorithms for flood susceptibility prediction
Esmaeel Dodangeh, Bahram Choubin, Ahmad Najafi Eigdir, et al.
The Science of The Total Environment (2019) Vol. 705, pp. 135983-135983
Closed Access | Times Cited: 217

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