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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:

A Positive-Unlabeled Learning Algorithm for Urban Flood Susceptibility Modeling
Wenkai Li, Yuanchi Liu, Ziyue Liu, et al.
Land (2022) Vol. 11, Iss. 11, pp. 1971-1971
Open Access | Times Cited: 11

Showing 11 citing articles:

Novel optimized deep learning algorithms and explainable artificial intelligence for storm surge susceptibility modeling and management in a flood-prone island
Mohammed J. Alshayeb, Hoang Thi Hang, Ahmed Ali A. Shohan, et al.
Natural Hazards (2024) Vol. 120, Iss. 6, pp. 5099-5128
Closed Access | Times Cited: 8
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
Pluvial flood susceptibility mapping for data-scarce urban areas using graph attention network and basic flood conditioning factors
Ze Wang, Heng Lyu, Chi Zhang
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 12
A comparative study on urban waterlogging susceptibility assessment based on multiple data-driven models
Feifei Han, Jingshan Yu, Guihuan Zhou, et al.
Journal of Environmental Management (2024) Vol. 360, pp. 121166-121166
Closed Access | Times Cited: 4
A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches
Tania Islam, Ethiopia Bisrat Zeleke, Mahmud Afroz, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 524-524
Open 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
Understanding the impact of land use change on urban flood susceptibility mapping assessment: A review
Eggy Arya Giofandi, Boedi Tjahjono, Latief Mahir Rachman
Journal of Degraded and Mining Lands Management (2024) Vol. 11, Iss. 3, pp. 6025-6035
Open Access | Times Cited: 2
A Novel Classification Method: Neighborhood-Based Positive Unlabeled Learning Using Decision Tree (NPULUD)
Bita Ghasemkhani, Kadriye Filiz Balbal, Kökten Ulaş Birant, et al.
Entropy (2024) Vol. 26, Iss. 5, pp. 403-403
Open Access | Times Cited: 2
Assessing urban renewal opportunities by combining 3D building information and geographic big data
Xin Zhao, Nan Xia, Manchun Li
Geo-spatial Information Science (2024), pp. 1-17
Open Access | Times Cited: 1
Assessment of Urban Flood Susceptibility and Inundation through Bivariate Statistics with Synthetic Aperture Radar: Insights for Spatial Planning in Pekanbaru City, Indonesia
Eggy Arya Giofandi, Boedi Tjahjono, Latief Mahir Rachman
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
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