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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 1-25 of 72 citing articles:

Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms
Mostafa Riazi, Khabat Khosravi, Kaka Shahedi, et al.
The Science of The Total Environment (2023) Vol. 871, pp. 162066-162066
Closed Access | Times Cited: 50
Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin
Yogesh Bhattarai, Sunil Duwal, Sanjib Sharma, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 17
Flood risk evaluation of the coastal city by the EWM-TOPSIS and machine learning hybrid method
Ziyuan Luo, Jian Tian, Jian Zeng, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 106, pp. 104435-104435
Closed Access | Times Cited: 17
Threats of climate change and land use patterns enhance the susceptibility of future floods in India
Subodh Chandra Pal, Indrajit Chowdhuri, Biswajit Das, et al.
Journal of Environmental Management (2021) Vol. 305, pp. 114317-114317
Closed Access | Times Cited: 76
Towards flood risk mapping based on multi-tiered decision making in a densely urbanized metropolitan city of Istanbul
Ömer Ekmekcioğlu, Kerim Koç, Mehmet Özger
Sustainable Cities and Society (2022) Vol. 80, pp. 103759-103759
Closed Access | Times Cited: 61
Explainable step-wise binary classification for the susceptibility assessment of geo-hydrological hazards
Ömer Ekmekcioğlu, Kerim Koç
CATENA (2022) Vol. 216, pp. 106379-106379
Closed Access | Times Cited: 44
Living with Floods Using State-of-the-Art and Geospatial Techniques: Flood Mitigation Alternatives, Management Measures, and Policy Recommendations
Rabin Chakrabortty, Subodh Chandra Pal, Dipankar Ruidas, et al.
Water (2023) Vol. 15, Iss. 3, pp. 558-558
Open Access | Times Cited: 29
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
Flood susceptibility assessment using machine learning approach in the Mohana-Khutiya River of Nepal
Menuka Maharjan, Sachin Timilsina, Santosh Ayer, et al.
Natural Hazards Research (2024) Vol. 4, Iss. 1, pp. 32-45
Open Access | Times Cited: 14
Enhancing Flood Risk Analysis in Harris County: Integrating Flood Susceptibility and Social Vulnerability Mapping
Hemal Dey, Wanyun Shao, Md. Munjurul Haque, et al.
Journal of Geovisualization and Spatial Analysis (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 10
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
Integrating deep learning, satellite image processing, and spatial-temporal analysis for urban flood prediction
Nasim Mohamadiazar, Ali Ebrahimian, Hossein Hosseiny
Journal of Hydrology (2024) Vol. 639, pp. 131508-131508
Closed Access | Times Cited: 9
Improving flood hazard susceptibility assessment by integrating hydrodynamic modeling with remote sensing and ensemble machine learning
Izhar Ahmad, Rashid Farooq, Muhammad Ashraf, et al.
Natural Hazards (2025)
Open Access | Times Cited: 1
A hybridized model based on neural network and swarm intelligence-grey wolf algorithm for spatial prediction of urban flood-inundation
Hamid Darabi, Ali Torabi Haghighi, Omid Rahmati, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126854-126854
Open Access | Times Cited: 52
A smart sustainable system for flood damage management with the application of artificial intelligence and multi-criteria decision-making computations
Omid Zabihi, maryam siamaki, Mohammad Gheibi, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 84, pp. 103470-103470
Closed Access | Times Cited: 36
FLOOD RISK MAPPING USING RANDOM FOREST AND SUPPORT VECTOR MACHINE
Mohammad Ganjirad, M. R. Delavar
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. X-4/W1-2022, pp. 201-208
Open Access | Times Cited: 19
Application of hybrid model-based deep learning and swarm‐based optimizers for flood susceptibility prediction in Binh Dinh province, Vietnam
Huu Duy Nguyen, Chien Pham Van, Anh Duc
Earth Science Informatics (2023)
Closed Access | Times Cited: 18
Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches
Sunil Duwal, Dedi Liu, Prachand Man Pradhan
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 17
Flood susceptibility mapping leveraging open-source remote-sensing data and machine learning approaches in Nam Ngum River Basin (NNRB), Lao PDR
Sackdavong Mangkhaseum, Yogesh Bhattarai, Sunil Duwal, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural network
Naser Ahmed, Muhammad Al-Amin Hoque, Alireza Arabameri, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 8770-8791
Closed Access | Times Cited: 33
Spatial modeling of flood hazard using machine learning and GIS in Ha Tinh province, Vietnam
Huu Duy Nguyen
Journal of Water and Climate Change (2022) Vol. 14, Iss. 1, pp. 200-222
Open Access | Times Cited: 28
Flood susceptibility mapping with ensemble machine learning: a case of Eastern Mediterranean basin, Türkiye
Hüseyin Baran Özdemir, Müsteyde Baduna Koçyiğit, Diyar Akay
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 11, pp. 4273-4290
Closed Access | Times Cited: 14
A Systematic Literature Review on Classification Machine Learning for Urban Flood Hazard Mapping
Maelaynayn El baida, Mohamed Hosni, Farid Boushaba, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 5823-5864
Closed Access | Times Cited: 5
Integration of multi-temporal SAR data and robust machine learning models for improvement of flood susceptibility assessment in the southwest coast of India
Pankaj Prasad, Sourav Mandal, Sahil Naik, et al.
Applied Computing and Geosciences (2024) Vol. 24, pp. 100189-100189
Open Access | Times Cited: 5
Machine Learning and Remote Sensing Application for Extreme Climate Evaluation: Example of Flood Susceptibility in the Hue Province, Central Vietnam Region
Minh Cường Hà, Phuong Vu, Huu Du Nguyen, et al.
Water (2022) Vol. 14, Iss. 10, pp. 1617-1617
Open Access | Times Cited: 19
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