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 controllable generative model for generating pavement crack images in complex scenes
Hancheng Zhang, Zhendong Qian, Wei Zhou, et al.
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 12, pp. 1795-1810
Open Access | Times Cited: 5

Showing 5 citing articles:

A survey of generative models for image-based structural health monitoring in civil infrastructure
Gi-Hun Gwon, Hyung‐Jo Jung
Journal of Infrastructure Intelligence and Resilience (2025), pp. 100138-100138
Open Access

Generative adversarial network based on domain adaptation for crack segmentation in shadow environments
Yingchao Zhang, Cheng Liu
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access

ISTD-CrackNet: Hybrid CNN-transformer models focusing on fine-grained segmentation of multi-scale pavement cracks
Zaiyan Zhang, Yangyang Zhuang, Song Wei-dong, et al.
Measurement (2025), pp. 117215-117215
Closed Access

Efficient quantifying track structure cracks using deep learning
Hongshuo Sun, Li Song, Zhiwu Yu
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access

Architecture Knowledge Distillation for Evolutionary Generative Adversarial Network
Yu Xue, Yan‐Xia Lin, Ferrante Neri
International Journal of Neural Systems (2024) Vol. 35, Iss. 04
Closed Access | Times Cited: 1

Moving-Feature-Driven Label Propagation for Training Data Generation from Target Domains
Taegeon Kim, Wei‐Chih Chern, Seokhwan Kim, et al.
(2024)
Closed Access

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