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:

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

Showing 8 citing articles:

A Performance Comparison Study on Climate Prediction in Weifang City Using Different Deep Learning Models
Qingchun Guo, Zhenfang He, Zhaosheng Wang, et al.
Water (2024) Vol. 16, Iss. 19, pp. 2870-2870
Open Access | Times Cited: 10

A multiscale physically-based approach to urban flood risk assessment using ABM and multi-source remote sensing data
Xinyi Shu, Chenlei Ye, Zongxue Xu, et al.
International Journal of Disaster Risk Reduction (2025), pp. 105332-105332
Closed Access | Times Cited: 1

How Climate Risk Affects Corporate Green Innovation: Fresh Evidence from China’s Listed Companies
Chi‐Chuan Lee, Mingyue Li, Jian Zhang
Emerging Markets Finance and Trade (2025), pp. 1-14
Closed Access

Monitoring Flood Risk Evolution: a systematic review
Nele Rindsfüser, Andreas Paul Zischg, Margreth Keiler
iScience (2024) Vol. 27, Iss. 9, pp. 110653-110653
Open Access | Times Cited: 3

Unraveling the factors behind self-reported trapped incidents in the extraordinary urban flood disaster: a case study of Zhengzhou City, China
Hongbo Zhao, Yangyang Liu, Yue Li, et al.
Cities (2024) Vol. 155, pp. 105444-105444
Closed Access | Times Cited: 2

Risk prediction based on oversampling technology and ensemble model optimized by tree-structured parzed estimator
Hongfa Wang, Xinjian Guan, Yu Meng, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 111, pp. 104753-104753
Closed Access | Times Cited: 1

Mapping flood risk using a workflow including deep learning and MCDM– Application to southern Iran
Hamid Gholami, Aliakbar Mohammadifar, Shahram Golzari, et al.
Urban Climate (2024) Vol. 59, pp. 102272-102272
Closed Access | Times Cited: 1

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