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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:

CrackViT: a unified CNN-transformer model for pixel-level crack extraction
Jianing Quan, Baozhen Ge, Min Wang
Neural Computing and Applications (2023) Vol. 35, Iss. 15, pp. 10957-10973
Closed Access | Times Cited: 20

Showing 20 citing articles:

SwinCrack: Pavement crack detection using convolutional swin-transformer network
Cheng Wang, Haibing Liu, Xiaoya An, et al.
Digital Signal Processing (2023) Vol. 145, pp. 104297-104297
Closed Access | Times Cited: 26
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
An interactive cross‐multi‐feature fusion approach for salient object detection in crack segmentation
Jian Liu, Pei Niu, Lei Kou, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Closed Access | Times Cited: 1
Robust Semantic Segmentation for Automatic Crack Detection Within Pavement Images Using Multi-Mixing of Global Context and Local Image Features
Hang Zhang, Allen Zhang, Zishuo Dong, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 11282-11303
Closed Access | Times Cited: 7
Sam-based instance segmentation models for the automation of structural damage detection
Zehao Ye, Lucy Lovell, Asaad Faramarzi, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102826-102826
Closed Access | Times Cited: 5
A rendering‐based lightweight network for segmentation of high‐resolution crack images
Hong-Hu Chu, Diran Yu, Weiwei Chen, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 4
DCNCrack: Pavement Crack Segmentation Based on Large-Scaled Deformable Convolutional Network
Cheng Wang, Haibing Liu, Xiaoya An, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 2
Closed 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
Sam-Based Instance Segmentation Models for the Automation of Structural Damage Detection
Zehao Ye, Lucy Lovell, Asaad Faramarzi, et al.
(2024)
Open Access | Times Cited: 3
AI-based rock strength assessment from tunnel face images using hybrid neural networks
Lianbaichao Liu, Zhanping Song, Ping Zhou, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Automatic real-time crack detection using lightweight deep learning models
Guoshao Su, Yuanzhuo Qin, Huajie Xu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109340-109340
Closed Access | Times Cited: 2
An ultra-lightweight network combining Mamba and frequency-domain feature extraction for pavement tiny-crack segmentation
Zhenguang Zhang, Bo Peng, Tingyu Zhao
Expert Systems with Applications (2024), pp. 125941-125941
Closed Access | Times Cited: 2
Wavelet-Guided Promotion-Suppression Transformer for Surface-Defect Detection
Quan Zhang, Jianhuang Lai, Junyong Zhu, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 4517-4528
Closed Access | Times Cited: 6
A non-local based microcrack segmentation model optimized for effective high resolution and low-power devices
Kyungsu Kang, JoonOh Seo, Han-Guk Ryu
Journal of Building Engineering (2024) Vol. 96, pp. 110650-110650
Closed Access | Times Cited: 1
DefNet: A multi-scale dual-encoding fusion network aggregating Transformer and CNN for crack segmentation
Bing Xiong, Rong Hong, Jianxin Wang, et al.
Construction and Building Materials (2024) Vol. 448, pp. 138206-138206
Closed Access | Times Cited: 1
Robust pavement crack segmentation network based on transformer and dual-branch decoder
Zhenwei Yu, Qinyu Chen, Yonggang Shen, et al.
Construction and Building Materials (2024) Vol. 453, pp. 139026-139026
Closed Access | Times Cited: 1
A novel convolutional neural network for enhancing the continuity of pavement crack detection
Jinhe Zhang, Shangyu Sun, Song Wei-dong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Coarse-to-Fine Crack Cue for Robust Crack Detection
Zelong Liu, Yuliang Gu, Zhichao Sun, et al.
(2024)
Closed Access
Loss function inversion for improved crack segmentation in steel bridges using a CNN framework
Andrii Kompanets, Remco Duits, Gautam Pai, et al.
Automation in Construction (2024) Vol. 170, pp. 105896-105896
Open Access
Detection of solidification crack formation in laser beam welding videos of sheet metal using neural networks
Wenjie Huo, Nasim Bakir, Andrey Gumenyuk, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 34, pp. 24315-24332
Open Access
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