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 novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area
Laura Melgar-García, Francisco Martínez–Álvarez, Dieu Tien Bui, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 3661-3679
Open Access | Times Cited: 6

Showing 6 citing articles:

Artificial Intelligence in Disaster Management
Silvio Andrae
Advances in environmental engineering and green technologies book series (2025), pp. 73-114
Closed Access

Spatial Prediction of Fluvial Flood in High-Frequency Tropical Cyclone Area Using TensorFlow 1D-Convolution Neural Networks and Geospatial Data
Nguyễn Gia Trọng, Pham Ngoc Quang, Nguyễn Văn Cường, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5429-5429
Open Access | Times Cited: 8

An integrated strategy for evaluating flood susceptibility combining deep neural networks with biologically inspired meta-heuristic algorithms
Jiangwei Hao, Hongyan Li, Chong Zhang, et al.
International Journal of Disaster Risk Reduction (2024), pp. 105003-105003
Closed Access | Times Cited: 1

Brain tumor segmentation algorithm based on pathology topological merging
Deshan Liu, Yanchao Zhang, Xin Wang, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 40, pp. 88019-88037
Closed Access

A full-attention network with an open dataset for large-scale building semantic segmentation along long-span high-speed rail lines
Wenfan Qiao, Li Shen, Jicheng Wang, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access

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