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:

An Inverse-Occurrence Sampling Approach for Urban Flood Susceptibility Mapping
Changpeng Wang, Yangchun Lin, Zhiwen Tao, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5384-5384
Open Access | Times Cited: 5

Showing 5 citing articles:

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

Cutting-Edge strategies for absence data identification in natural hazards: Leveraging Voronoi-Entropy in flood susceptibility mapping with advanced AI techniques
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Journal of Hydrology (2024), pp. 132337-132337
Closed Access | Times Cited: 1

A novel flood conditioning factor based on topography for flood susceptibility modeling
Jun Liu, Xueqiang Zhao, Yangbo Chen, et al.
Geoscience Frontiers (2024) Vol. 16, Iss. 1, pp. 101960-101960
Open Access | Times Cited: 1

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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