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:

Dual attention transformer network for pixel-level concrete crack segmentation considering camera placement
Yingjie Wu, Shaoqi Li, Jinge Zhang, et al.
Automation in Construction (2023) Vol. 157, pp. 105166-105166
Closed Access | Times Cited: 15

Showing 15 citing articles:

CNN-Transformer hybrid network for concrete dam crack patrol inspection
Mingchao Li, Jingyue Yuan, Qiubing Ren, et al.
Automation in Construction (2024) Vol. 163, pp. 105440-105440
Closed Access | Times Cited: 18

Lightweight network for millimeter-level concrete crack detection with dense feature connection and dual attention
Xiao Ma, Yang Li, Zijiang Yang, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 109821-109821
Open Access | Times Cited: 8

A deep learning framework for real-time multi-task recognition and measurement of concrete cracks
Gang Xu, Y. Zhang, Qingrui Yue, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103127-103127
Closed Access | Times Cited: 1

Deeep Learning in Crack Detection: A Comprehensive Scientometric Review
Yingjie Wu, Shaoqi Li, Jingqiu Li, et al.
Journal of Infrastructure Intelligence and Resilience (2025), pp. 100144-100144
Open Access

Vector-Quantized Variational Teacher and Multimodal Collaborative Student for Crack Segmentation via Knowledge Distillation
Shi Qiu, Qasim Zaheer, Syed Muhammad Ahmed Hassan Shah, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 3
Closed Access

DCMA-Net: A dual channel multi-scale feature attention network for crack image segmentation
Yidan Yan, Junding Sun, Hongyuan Zhang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110411-110411
Closed Access

Autonomous Crack Segmentation Based on Segment Anything Model
Ghodsiyeh Rostami, Po-Han Chen, Yang Wang
Lecture notes in civil engineering (2025), pp. 283-293
Closed Access

Deployment strategies for lightweight pavement defect detection using deep learning and inverse perspective mapping
Handuo Yang, Tao Ma, Tong Zheng, et al.
Automation in Construction (2024) Vol. 167, pp. 105682-105682
Closed Access | Times Cited: 1

Multi-Level Optimisation of Feature Extraction Networks for Concrete Surface Crack Detection
Faris Elghaish, Sandra Matarneh, Farzad Pour Rahimian, et al.
Developments in the Built Environment (2024), pp. 100587-100587
Open Access | Times Cited: 1

The early warning method of Dagangshan high-arch dam risk based on the time series prediction of the multivariate monitoring data
Ke Ma, Zewei Yuan, Zhiliang Gao, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1

Topology-aware mamba for crack segmentation in structures
Xin Zuo, Sheng Yu, Jifeng Shen, et al.
Automation in Construction (2024) Vol. 168, pp. 105845-105845
Closed Access | Times Cited: 1

Numerical simulation of the defect's behavior in building structure elements during ultrasonic diagnostics
Vasilii Dolgov, Nikita Beskopylny
BIO Web of Conferences (2024) Vol. 93, pp. 03027-03027
Open Access

Multi-Level Optimisation of Feature Extraction Networks for Concrete Surface Crack Detection
Faris Elghaish, Sandra Matarneh, Essam Abdellatef, et al.
(2024)
Closed Access

Crackmamba: Topology-Aware Mamba for Crack Segmentation in Structures
Xin Zuo, Sheng Yu, Jifeng Shen, et al.
(2024)
Closed Access

A lightweight ground crack rapid detection method based on semantic enhancement
Bing Yi, Qing Long, Haiqiao Liu, et al.
Heliyon (2024) Vol. 10, Iss. 14, pp. e34782-e34782
Open Access

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