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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:

Integration of hard and soft supervised machine learning for flood susceptibility mapping
Soghra Andaryani, Vahid Nourani, Ali Torabi Haghighi, et al.
Journal of Environmental Management (2021) Vol. 291, pp. 112731-112731
Open Access | Times Cited: 72

Showing 51-75 of 72 citing articles:

Analysis of the utilization of machine learning to map flood susceptibility
Ali Pourzangbar, Peter Oberle, Andreas Kron, et al.
(2024)
Closed Access | Times Cited: 1
Cutting-Edge strategies for absence data identification in natural hazards: Leveraging Voronoi-Entropy in flood susceptibility mapping with advanced AI techniques
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Journal of Hydrology (2024), pp. 132337-132337
Closed Access | Times Cited: 1
Quantitative Assessment of Future Environmental Changes in Hydrological Risk Components: Integration of Remote Sensing, Machine Learning, and Hydraulic Modeling
Farinaz Gholami, Yue Li, Junlong Zhang, et al.
Water (2024) Vol. 16, Iss. 23, pp. 3354-3354
Open Access | Times Cited: 1
Setting priorities for floods mitigation through forest restoration: The threshold elevation hypothesis
Jorge Hurtado-Pidal, Mauricio Aguayo, Óscar Link, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123500-123500
Closed Access | Times Cited: 1
Assessment of urban flood susceptibility based on a novel integrated machine learning method
Haidong Yang, Ting Zou, Biyu Liu
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access | Times Cited: 1
Credit Evaluation of SMEs Based on GBDT-CNN-LR Hybrid Integrated Model
Lei Zhang, Qiankun Song
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 7
Hybrid-based approaches for the flood susceptibility prediction of Kermanshah province, Iran
Sina Paryani, Mojgan Bordbar, Changhyun Jun, et al.
Natural Hazards (2022) Vol. 116, Iss. 1, pp. 837-868
Closed Access | Times Cited: 7
Evaluation of total dissolved solids in rivers by improved neuro fuzzy approaches using metaheuristic algorithms
Mahdieh Jannatkhah, Rouhollah Davarpanah, Bahman Fakouri, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1501-1522
Open Access
Quantifying the Impact of Future Climate Change on Flood Susceptibility: An Integration of CMIP6 Models, Machine Learning, and Remote Sensing
Farinaz Gholami, Yue Li, Junlong Zhang, et al.
Journal of Water Resources Planning and Management (2024) Vol. 150, Iss. 9
Closed Access
Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping
Ali Nasiri Khiavi, Mehdi Vafakhah
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 40, pp. 52740-52757
Closed Access
Prediction of urban flood inundation using Bayesian convolutional neural networks
Xiang Zheng, Minling Zheng
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access
Enhancing Flash Flood Susceptibility Modeling in Arid Regions: Integrating Digital Soil Mapping and Machine Learning Algorithms
Zahra Sheikh, Ali Asghar Zolfaghari, Maryam Raeesi, et al.
Research Square (Research Square) (2024)
Closed Access
A Novel Sample-Enhancement Framework for Machine Learning-Based Urban Flood Susceptibility Assessment
Huabing Huang, Changpeng Wang, Zhiwen Tao, et al.
Environmental Modelling & Software (2024), pp. 106314-106314
Closed Access
Application of multilayer perceptron (MLP) method for streamflow forecasting (case study: Upper Citarum River, Indonesia)
Enung Enung, Heri Kasyanto, Risna Rismiana Sari, et al.
IOP Conference Series Earth and Environmental Science (2023) Vol. 1203, Iss. 1, pp. 012032-012032
Open Access | Times Cited: 1
Evaluation of total dissolved solids in rivers by improved neuro fuzzy approaches using metaheuristic algorithms
Mahdieh Jannatkhah, Rouhollah Davarpanah, Bahman Fakouri, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Flood susceptibility mapping using advanced hybrid machine learning and CyGNSS: a case study of Nghe An province, Vietnam
Huu Duy Nguyen, Phương Lan Vu, Minh Cường Hà, et al.
Acta Geophysica (2022) Vol. 70, Iss. 6, pp. 2785-2803
Closed Access | Times Cited: 2
Nordic contributions to stochastic methods in hydrology
Dan Rosbjerg, Kolbjørn Engeland, Eirik J. Førland, et al.
Hydrology Research (2022) Vol. 53, Iss. 6, pp. 840-866
Open Access | Times Cited: 1
Flood susceptibility mapping in anthropogenic wetland area, Shadegan County, Southwest of Iran
Somaiyeh Khaleghi, Ahmad Jadmavinejad
International Journal of Disaster Resilience in the Built Environment (2022) Vol. 15, Iss. 2, pp. 212-226
Closed Access | Times Cited: 1
CBS Tabanlı Melez Makine Öğrenmesi Uygulamalarının Ani Sel Duyarlılık Haritalamasında Kullanımı
Ömer Ekmekcioğlu
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2023) Vol. 13, Iss. 2, pp. 1067-1084
Open Access
Quantitative Assessment of Future Land Use Changes' Impact on Flood Risk Components: Integration of Remote Sensing, Machine Learning, and Hydraulic Modeling
Farinaz Gholami, Yue Li, Junlong Zhang, et al.
Research Square (Research Square) (2023)
Open Access
Assessment of flood susceptibility areas using Optimized BP neural network models over the Tumen River Basin, China
He Chun Quan, Ri Jin, Aifen Jin, et al.
Research Square (Research Square) (2022)
Open Access
Assessment of flood susceptibility areas using novel hybrid approach of neural network over the Tumen River Basin, China
Ri Jin, Hechun Quan, Aifen Jin, et al.
Research Square (Research Square) (2022)
Open Access
Assessment of flood susceptibility areas using Optimized BP neural network models over the Tumen River Basin, China
Ri Jin, Hechun Quan, Aifen Jin, et al.
Research Square (Research Square) (2022)
Open Access
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