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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:

Spatio-temporal cross-validation to predict pluvial flood events in the Metropolitan City of Venice
Marco Zanetti, Allegri Elena, Anna Sperotto, et al.
Journal of Hydrology (2022) Vol. 612, pp. 128150-128150
Closed Access | Times Cited: 16

Showing 16 citing articles:

Application of Machine Learning in Water Resources Management: A Systematic Literature Review
Fatemeh Ghobadi, Doosun Kang
Water (2023) Vol. 15, Iss. 4, pp. 620-620
Open Access | Times Cited: 75
Pluvial flood risk assessment for 2021–2050 under climate change scenarios in the Metropolitan City of Venice
Elena Allegri, Marco Zanetti, Silvia Torresan, et al.
The Science of The Total Environment (2024) Vol. 914, pp. 169925-169925
Open Access | Times Cited: 8
Deep learning rapid flood risk predictions for climate resilience planning
Ahmed Yosri, Maysara Ghaith, Wael El‐Dakhakhni
Journal of Hydrology (2024) Vol. 631, pp. 130817-130817
Closed Access | Times Cited: 8
A novel AI-based model for real-time flooding image recognition using super-resolution generative adversarial network
Yuan-Fu Zeng, M. M. Chang, Gwo‐Fong Lin
Journal of Hydrology (2024) Vol. 638, pp. 131475-131475
Closed Access | Times Cited: 8
Enhancing transparency in data-driven urban pluvial flood prediction using an explainable CNN model
Weizhi Gao, Yaoxing Liao, Yuhong Chen, et al.
Journal of Hydrology (2024), pp. 132228-132228
Closed Access | Times Cited: 6
Risk of Flash Floods in Urban and Rural Municipalities Triggered by Intense Precipitation in Wielkopolska of Poland
Iwona Pińskwar, Adam Choryński, Dariusz Graczyk
International Journal of Disaster Risk Science (2023) Vol. 14, Iss. 3, pp. 440-457
Open Access | Times Cited: 16
Adaptive selection and optimal combination scheme of candidate models for real-time integrated prediction of urban flood
Yihong Zhou, Zening Wu, Hongshi Xu, et al.
Journal of Hydrology (2023) Vol. 626, pp. 130152-130152
Closed Access | Times Cited: 13
Robustness of machine learning algorithms to generate flood susceptibility maps for watersheds in Jordan
Mohanned S. Al-Sheriadeh, Mohammad A. Daqdouq
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
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
Recent advances and future challenges in urban pluvial flood modelling
Luís Cea, Esteban Sañudo, Carlos Montalvo, et al.
Urban Water Journal (2025), pp. 1-25
Open Access
Spatiotemporal patterns and dynamic mechanisms of ecosystem services in the coastal zone of China
Mingbao Chen, Maolin Li, Ping Wang
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Progress and landscape of disaster science: Insights from computational analyses
Maziar Yazdani, Martin Loosemore, Mohammad Mojtahedi, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 108, pp. 104536-104536
Open Access | Times Cited: 2
Climate Scenarios for Coastal Flood Vulnerability Assessments: A Case Study for the Ligurian Coastal Region
Alice Re, Lorenzo Minola, Alessandro Pezzoli
Climate (2023) Vol. 11, Iss. 3, pp. 56-56
Open Access | Times Cited: 6
Short-term prediction of PV output based on weather classification and SSA-ELM
Junxiong Ge, Guowei Cai, Mao Yang, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 5
Literature Review on Integrating Generalized Space-Time Autoregressive Integrated Moving Average (GSTARIMA) and Deep Neural Networks in Machine Learning for Climate Forecasting
Devi Munandar, Budi Nurani Ruchjana, Atje Setiawan Abdullah, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2975-2975
Open Access | Times Cited: 3
Effect of Water Tank Size and Supply on Greenhouse-Grown Kidney Beans Irrigated by Rainwater in Cold and Arid Regions of North China
Mengmeng Sun, Jizong Zhang, Zhihui Wang, et al.
Agronomy (2024) Vol. 14, Iss. 8, pp. 1767-1767
Open Access
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