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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:

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

Showing 1-25 of 50 citing articles:

Flood Susceptibility Mapping Using SAR Data and Machine Learning Algorithms in a Small Watershed in Northwestern Morocco
Sliman Hitouri, Meriame Mohajane, Meriam Lahsaini, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 858-858
Open Access | Times Cited: 18
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
GIS-based flood susceptibility mapping using bivariate statistical model in Swat River Basin, Eastern Hindukush region, Pakistan
Zahid Ur Rahman, Waheed Ullah, Shibiao Bai, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 32
Improving the simulations of the hydrological model in the karst catchment by integrating the conceptual model with machine learning models
Cenk Sezen, Mojca Šraj
The Science of The Total Environment (2024) Vol. 926, pp. 171684-171684
Open Access | Times Cited: 15
SHAP-powered insights into spatiotemporal effects: Unlocking explainable Bayesian-neural-network urban flood forecasting
W. P. Chu, Chunxiao Zhang, Heng Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 131, pp. 103972-103972
Open Access | Times Cited: 11
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
Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan
Muhammad Tayyab, Muhammad Hussain, Jiquan Zhang, et al.
Journal of Environmental Management (2024) Vol. 371, pp. 123094-123094
Closed Access | Times Cited: 9
Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN, NLDAS, GLDAS, and GRACE Datasets
F. M. Hasan, Paul Medley, Jason Drake, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1904-1904
Open Access | Times Cited: 8
Improving flood-prone areas mapping using geospatial artificial intelligence (GeoAI): A non-parametric algorithm enhanced by math-based metaheuristic algorithms
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124238-124238
Closed Access | Times Cited: 1
A novel multi-strategy hydrological feature extraction (MHFE) method to improve urban waterlogging risk prediction, a case study of Fuzhou City in China
Haocheng Huang, Xiaohui Lei, Weihong Liao, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 165834-165834
Closed Access | Times Cited: 13
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
Flood Susceptibility Modeling Using an Advanced Deep Learning-Based Iterative Classifier Optimizer
Md. Uzzal Mia, Tahmida Naher Chowdhury, Rabin Chakrabortty, et al.
Land (2023) Vol. 12, Iss. 4, pp. 810-810
Open Access | Times Cited: 12
Integration of Watershed eco-physical health through Algorithmic game theory and supervised machine learning
Ali Nasiri Khiavi, Mohammad Tavoosi, Hamid Khodamoradi, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101216-101216
Open Access | Times Cited: 4
Flood Susceptibility Assessment for Improving the Resilience Capacity of Railway Infrastructure Networks
Giada Varra, Renata Della Morte, Mario Tartaglia, et al.
Water (2024) Vol. 16, Iss. 18, pp. 2592-2592
Open Access | Times Cited: 4
Large-scale flood mapping using Sentinel-1 and Sentinel-2 imagery: Spatio-temporal analysis of the 23·7 Haihe basin-wide extreme flood
Ling Lan, Xiekang Wang
Journal of Hydrology (2025), pp. 132777-132777
Closed Access
Predicting flood risks using advanced machine learning algorithms with a focus on Bangladesh: influencing factors, gaps and future challenges
Abu Reza Md. Towfiqul Islam, Md. Jannatul Naeem Jibon, Md. Abubakkor Siddik, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102285-102285
Closed Access
Contrast or Diversity: Non-Flood sampling in urban flood susceptibility modelling
Huabing Huang, Zhiwen Tao, Jiayin Zhan, et al.
Journal of Hydrology (2025), pp. 133053-133053
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.
Environmental Earth Sciences (2025) Vol. 84, Iss. 6
Closed Access
Assessment and mapping of areas at risk of flooding using a combined AHP and GIS multi-criteria analysis model ‒ case study of Sidi Aissa city (Algeria)
Mohammed Ben Halima, Ali Redjem, Salim Dehimi, et al.
Geomatics Landmanagement and Landscape (2025), Iss. 1
Open Access
Enhancing Rainfall-Runoff Simulation in Data-Poor Watersheds: Integrating Remote Sensing and Hybrid Decomposition for Hydrologic Modelling
Mostafa Riazi, Sayed M. Bateni, Changhyun Jun, et al.
Water Resources Management (2025)
Closed Access
Improving carbon flux estimation in tea plantation ecosystems: A machine learning ensemble approach
Ali Raza, Yongguang Hu, Yongzong Lu
European Journal of Agronomy (2024) Vol. 160, pp. 127297-127297
Closed Access | Times Cited: 3
A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects
Farhad Samadzadegan, Ahmad Toosi, Farzaneh Dadrass Javan
International Journal of Remote Sensing (2024), pp. 1-76
Open Access | Times Cited: 3
Rainfall-Induced Landslide Assessment under Different Precipitation Thresholds Using Remote Sensing Data: A Central Andes Case
Gonzalo Maragaño-Carmona, Ivo Fustos, Pierre-Yves Descote, et al.
Water (2023) Vol. 15, Iss. 14, pp. 2514-2514
Open Access | Times Cited: 7
Near real-time flood inundation and hazard mapping of Baitarani River Basin using Google Earth Engine and SAR imagery
Bobbili Aravind Sai Atchyuth, Ratnakar Swain, Pulakesh Das
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 11
Open Access | Times Cited: 7
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