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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 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

Showing 1-25 of 398 citing articles:

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
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
Suitability estimation for urban development using multi-hazard assessment map
George D. Bathrellos, Hariklia D. Skilodimou, Konstantinos Chousianitis, et al.
The Science of The Total Environment (2016) Vol. 575, pp. 119-134
Closed Access | Times Cited: 437
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
Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques
Hamid Darabi, Bahram Choubin, Omid Rahmati, et al.
Journal of Hydrology (2018) Vol. 569, pp. 142-154
Open Access | Times Cited: 353
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
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
Himan Shahabi, Ataollah Shirzadi, Kayvan Ghaderi, et al.
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 266-266
Open Access | Times Cited: 294
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
Application of GIS-Interval Rough AHP Methodology for Flood Hazard Mapping in Urban Areas
Ljubomir Gigović, Dragan Pamučar, Zoran Bajić, et al.
Water (2017) Vol. 9, Iss. 6, pp. 360-360
Open Access | Times Cited: 278
GIS-based MCDM – AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia
Dhekra Souissi, Lahcen Zouhri, Salma Hammami, et al.
Geocarto International (2019) Vol. 35, Iss. 9, pp. 991-1017
Closed Access | Times Cited: 258
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
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
Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study
Hariklia D. Skilodimou, George D. Bathrellos, Konstantinos Chousianitis, et al.
Environmental Earth Sciences (2019) Vol. 78, Iss. 2
Closed Access | Times Cited: 242
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
GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques
Mahyat Shafapour Tehrany, Farzin Shabani, Mustafa Neamah Jebur, et al.
Geomatics Natural Hazards and Risk (2017) Vol. 8, Iss. 2, pp. 1538-1561
Open Access | Times Cited: 240
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
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
Assessment of flood inundation mapping of Surat city by coupled 1D/2D hydrodynamic modeling: a case application of the new HEC-RAS 5
Dhruvesh Patel, Jorge Ramirez, Prashant K. Srivastava, et al.
Natural Hazards (2017) Vol. 89, Iss. 1, pp. 93-130
Closed Access | Times Cited: 215
Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India
Indrajit Chowdhuri, Subodh Chandra Pal, Rabin Chakrabortty
Advances in Space Research (2019) Vol. 65, Iss. 5, pp. 1466-1489
Closed Access | Times Cited: 209
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