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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:

An assessment of metaheuristic approaches for flood assessment
Hamid Reza Pourghasemi, Seyed Vahid Razavi-Termeh, Narges Kariminejad, et al.
Journal of Hydrology (2020) Vol. 582, pp. 124536-124536
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101075-101075
Open Access | Times Cited: 430
Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
Ahmed M. Youssef, Hamid Reza Pourghasemi
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 639-655
Open Access | Times Cited: 336
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
Swapan Talukdar, Bonosri Ghose, Shahfahad, et al.
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 12, pp. 2277-2300
Closed Access | Times Cited: 184
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: 78
Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Myoung-Bae Seo, et al.
The Science of The Total Environment (2023) Vol. 873, pp. 162285-162285
Closed Access | Times Cited: 49
Flood susceptibility mapping through geoinformatics and ensemble learning methods, with an emphasis on the AdaBoost-Decision Tree algorithm, in Mazandaran, Iran
Maryam Jahanbani, Mohammad H. Vahidnia, Hossein Aghamohammadi, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1433-1457
Closed Access | Times Cited: 18
A novel hybrid machine learning and explainable artificial intelligence approaches for improved source rock prediction and hydrocarbon potential in the Mandawa Basin, SE Tanzania
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
International Journal of Coal Geology (2025), pp. 104699-104699
Closed Access | Times Cited: 2
Flood hazards susceptibility mapping using statistical, fuzzy logic, and MCDM methods
Hüseyın Akay
Soft Computing (2021) Vol. 25, Iss. 14, pp. 9325-9346
Closed Access | Times Cited: 104
GIS-Based Urban Flood Resilience Assessment Using Urban Flood Resilience Model: A Case Study of Peshawar City, Khyber Pakhtunkhwa, Pakistan
Muhammad Tayyab, Jiquan Zhang, Muhammad Hussain, et al.
Remote Sensing (2021) Vol. 13, Iss. 10, pp. 1864-1864
Open Access | Times Cited: 87
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
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India
Shruti Sachdeva, Bijendra Kumar
Stochastic Environmental Research and Risk Assessment (2020) Vol. 35, Iss. 2, pp. 287-306
Open Access | Times Cited: 81
Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh
Mahfuzur Rahman, Ningsheng Chen, Md Monirul Islam, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101095-101095
Open Access | Times Cited: 76
Exploring Artificial Intelligence Techniques for Groundwater Quality Assessment
Purushottam Agrawal, Alok Sinha, Satish Kumar, et al.
Water (2021) Vol. 13, Iss. 9, pp. 1172-1172
Open Access | Times Cited: 72
Landslide susceptibility mapping using artificial neural network tuned by metaheuristic algorithms
Mohammad Mehrabi, Hossein Moayedi
Environmental Earth Sciences (2021) Vol. 80, Iss. 24
Closed Access | Times Cited: 66
Risk Assessment of Resources Exposed to Rainfall Induced Landslide with the Development of GIS and RS Based Ensemble Metaheuristic Machine Learning Algorithms
Javed Mallick, Saeed Alqadhi, Swapan Talukdar, et al.
Sustainability (2021) Vol. 13, Iss. 2, pp. 457-457
Open Access | Times Cited: 58
A comparison of performance measures of three machine learning algorithms for flood susceptibility mapping of river Silabati (tropical river, India)
Md Hasanuzzaman, Aznarul Islam, Biswajit Bera, et al.
Physics and Chemistry of the Earth Parts A/B/C (2022) Vol. 127, pp. 103198-103198
Closed Access | Times Cited: 41
Flood Susceptibility Mapping Using Remote Sensing and Integration of Decision Table Classifier and Metaheuristic Algorithms
Shavan Askar, Sajjad Zeraat Peyma, Mohanad Mohsen Yousef, et al.
Water (2022) Vol. 14, Iss. 19, pp. 3062-3062
Open Access | Times Cited: 41
Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a sequential ensemble algorithm
Seyed Vahid Razavi-Termeh, Myoung-Bae Seo, Abolghasem Sadeghi‐Niaraki, et al.
Weather and Climate Extremes (2023) Vol. 41, pp. 100595-100595
Open Access | Times Cited: 29
Enhancing flood-prone area mapping: fine-tuning the K-nearest neighbors (KNN) algorithm for spatial modelling
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Saman Razavi, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 9
Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms
Babak Ranjgar, Seyed Vahid Razavi-Termeh, Fatemeh Foroughnia, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1326-1326
Open Access | Times Cited: 55
Development of an Extreme Gradient Boosting Model Integrated With Evolutionary Algorithms for Hourly Water Level Prediction
Duc Hai Nguyen, Xuan-Hien Le, Jae‐Yeong Heo, et al.
IEEE Access (2021) Vol. 9, pp. 125853-125867
Open Access | Times Cited: 46
Proposing receiver operating characteristic-based sensitivity analysis with introducing swarm optimized ensemble learning algorithms for groundwater potentiality modelling in Asir region, Saudi Arabia
Javed Mallick, Swapan Talukdar, Majed Alsubih, et al.
Geocarto International (2021) Vol. 37, Iss. 15, pp. 4361-4389
Closed Access | Times Cited: 44
Large-scale dynamic flood monitoring in an arid-zone floodplain using SAR data and hybrid machine-learning models
Mahdi Panahi, Omid Rahmati, Zahra Kalantari, et al.
Journal of Hydrology (2022) Vol. 611, pp. 128001-128001
Closed Access | Times Cited: 34
Application of Unmanned Aerial Vehicle DEM in flood modeling and comparison with global DEMs: Case study of Atrak River Basin, Iran
Esmaeel Parizi, Shokoufeh Khojeh, Seiyed Mossa Hosseini, et al.
Journal of Environmental Management (2022) Vol. 317, pp. 115492-115492
Closed Access | Times Cited: 33
Climatic and Hydrological Factors Affecting the Assessment of Flood Hazards and Resilience Using Modified UNDRR Indicators: Ayutthaya, Thailand
Phichet Munpa, Suthirat Kittipongvises, Athit Phetrak, et al.
Water (2022) Vol. 14, Iss. 10, pp. 1603-1603
Open Access | Times Cited: 32
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