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:

Flood susceptibility prediction using tree-based machine learning models in the GBA
Hai‐Min Lyu, Zhen‐Yu Yin
Sustainable Cities and Society (2023) Vol. 97, pp. 104744-104744
Closed Access | Times Cited: 29

Showing 26-50 of 29 citing articles:

Investigating the influence of nonlinear spatial heterogeneity in urban flooding factors using geographic explainable artificial intelligence
Entong Ke, Juchao Zhao, Yaolong Zhao
Journal of Hydrology (2024), pp. 132398-132398
Closed Access | Times Cited: 1

Hurricane risk assessment in Texas using machine learning and remote sensing data
Sameera Maha Arachchige, Biswajeet Pradhan
(2024)
Closed Access

Prediction Model Establishment for Residential Community Occupancy Considering Urban Environment
Yukai Zou, Weien Xie, Siwei Lou, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110463-110463
Closed Access

Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping
Ali Nasiri Khiavi, Mehdi Vafakhah
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 40, pp. 52740-52757
Closed Access

Taşkın Tahmininde Farklı Havzaların Kullanılması; Artvin Taşkınlarının İncelenmesi Örneği
Ufuk Yükseler, Ö. Faruk Dursun
Fırat Üniversitesi Mühendislik Bilimleri Dergisi (2024) Vol. 36, Iss. 2, pp. 827-835
Open Access

A Tropical Cyclone Risk Prediction Framework using Flood Susceptibility and Tree-based Machine Learning Models: County-level Direct Economic Loss Prediction in Guangdong Province
Jian Yang, S. S. Chen, Yanan Tang, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 114, pp. 104955-104955
Closed Access

A GIS‐based tool for dynamic assessment of community susceptibility to flash flooding
Rohan Singh Wilkho, Nasir G. Gharaibeh, Chang Song
Journal of Flood Risk Management (2024) Vol. 18, Iss. 1
Open Access

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