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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 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

Showing 1-25 of 254 citing articles:

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
A review of nature-based solutions for urban water management in European circular cities: a critical assessment based on case studies and literature
Hasan Volkan Oral, Pedro N. Carvalho, Magdalena Gajewska, et al.
Blue-Green Systems (2020) Vol. 2, Iss. 1, pp. 112-136
Open Access | Times Cited: 282
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 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 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
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: 200
Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region
Yaning Yi, Zhijie Zhang, Wanchang Zhang, et al.
CATENA (2020) Vol. 195, pp. 104851-104851
Closed Access | Times Cited: 189
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: 176
Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran
Alireza Arabameri, Sunil Saha, Jagabandhu Roy, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 475-475
Open Access | Times Cited: 175
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: 164
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: 160
GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms
Alireza Arabameri, Biswajeet Pradhan, Khalil Rezaei, et al.
Journal of Mountain Science (2019) Vol. 16, Iss. 3, pp. 595-618
Closed Access | Times Cited: 148
Comparison of machine learning models for gully erosion susceptibility mapping
Alireza Arabameri, Wei Chen, Marco Loche, et al.
Geoscience Frontiers (2019) Vol. 11, Iss. 5, pp. 1609-1620
Open Access | Times Cited: 147
Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques
Alireza Arabameri, Sunil Saha, Wei Chen, et al.
Journal of Hydrology (2020) Vol. 587, pp. 125007-125007
Closed Access | Times Cited: 137
Flood Susceptibility Assessment Using Novel Ensemble of Hyperpipes and Support Vector Regression Algorithms
Asish Saha, Subodh Chandra Pal, Alireza Arabameri, et al.
Water (2021) Vol. 13, Iss. 2, pp. 241-241
Open Access | Times Cited: 137
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: 116
A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India
Dipankar Ruidas, Rabin Chakrabortty, Abu Reza Md. Towfiqul Islam, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 93
Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model
Biswajeet Pradhan, Saro Lee, Abhirup Dikshit, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 6, pp. 101625-101625
Open Access | Times Cited: 93
Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression
Soroosh Mehravar, Seyed Vahid Razavi-Termeh, Armin Moghimi, et al.
Journal of Hydrology (2023) Vol. 617, pp. 129100-129100
Open Access | Times Cited: 75
A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India
Rajib Mitra, Jayanta Das
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 6, pp. 16036-16067
Closed Access | Times Cited: 73
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: 45
GIS-based data-driven bivariate statistical models for landslide susceptibility prediction in Upper Tista Basin, India
Jayanta Das, Pritam Saha, Rajib Mitra, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e16186-e16186
Open Access | Times Cited: 40
Flood susceptibility mapping using a novel integration of multi-temporal sentinel-1 data and eXtreme deep learning model
Rami Al‐Ruzouq, Abdallah Shanableh, Ratiranjan Jena, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 3, pp. 101780-101780
Open Access | Times Cited: 15
A review of flood risk assessment frameworks and the development of hierarchical structures for risk components
Nazgol Tabasi, Mohammad Fereshtehpour, Bardia Roghani
Discover Water (2025) Vol. 5, Iss. 1
Open Access | Times Cited: 1
Spatial flood susceptibility prediction in Middle Ganga Plain: comparison of frequency ratio and Shannon’s entropy models
Aman Arora, Manish Pandey, Masood Ahsan Siddiqui, et al.
Geocarto International (2019) Vol. 36, Iss. 18, pp. 2085-2116
Closed Access | Times Cited: 141
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