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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:

Improving the Accuracy of Flood Susceptibility Prediction by Combining Machine Learning Models and the Expanded Flood Inventory Data
Han Yu, Zengliang Luo, Lunche Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3601-3601
Open Access | Times Cited: 14

Showing 14 citing articles:

Integrating machine learning and geospatial data analysis for comprehensive flood hazard assessment
Chiranjit Singha, Vikas Kumar Rana, Quoc Bao Pham, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 35, pp. 48497-48522
Open Access | Times Cited: 10
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
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
A real-time prediction model for instantaneous dam-break flood evolution of concrete gravity dams based on attention mechanism and spatiotemporal multiple features
Chao Wang, Yaofei Zhang, Sherong Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110616-110616
Closed Access
Uncertainty pattern and an integration strategy in flood susceptibility modeling: Limited sample size
Jun Liu, Xueqiang Zhao, Yangbo Chen, et al.
Journal of Hydrology (2025), pp. 133184-133184
Closed Access
Enhancing Flood Prediction in Urban Areas: A Machine Learning Approach for Makassar City
Muhammad Rizal, Mochamad Hariadi, Yunifa Miftachul Arif, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 2, pp. 21678-21684
Open Access
Analysis of the Utilization of Machine Learning to Map Flood Susceptibility
Ali Pourzangbar, Peter Oberle, Andreas Kron, et al.
Journal of Flood Risk Management (2025) Vol. 18, Iss. 2
Open Access
Delineation of flood risk terrains and rainfall visualisation in the North Western part of Ghana
Benjamin Wullobayi Dekongmen, Amos T. Kabo‐bah, Geophrey K. Anornu, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 3, pp. 4567-4594
Closed Access | Times Cited: 2
Urban Flood Risk Assessment and Mapping Using GIS-DEMATEL Method: Case of the Serafa River Watershed, Poland
Wiktoria Natkaniec, Izabela Godyń
Water (2024) Vol. 16, Iss. 18, pp. 2636-2636
Open Access | Times Cited: 2
Dynamic Operation Optimization of Complex Industries Based on a Data-Driven Strategy
Huixin Tian, Chenning Zhao, Jueping Xie, et al.
Processes (2024) Vol. 12, Iss. 1, pp. 189-189
Open Access | Times Cited: 1
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
Enhancing flood susceptibility modeling using integration of multi-source satellite imagery and multi-input convolutional neural network
Shadi Maddah, Barat Mojaradi, Hosein Alizadeh
Natural Hazards (2024)
Closed Access | Times Cited: 1
Estimating Elements Susceptible to Urban Flooding Using Multisource Data and Machine Learning
Wegayehu Asfaw, Tom H. M. Rientjes, Tilaye Worku Bekele, et al.
(2024)
Closed Access
Prediction of flood susceptibility in an inter-fluvial region of Northern India using machine learning algorithms
Arijit Ghosh, Azizur Rahman Siddiqui
Natural Hazards Research (2024)
Open Access
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