OpenAlex Citation Counts

OpenAlex Citations Logo

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-path network combining CNN and transformer for pavement crack segmentation
Jin Wang, Zhigao Zeng, Pradip Kumar Sharma, et al.
Automation in Construction (2023) Vol. 158, pp. 105217-105217
Closed Access | Times Cited: 33

Showing 1-25 of 33 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

A dual encoder crack segmentation network with Haar wavelet-based high-low frequency attention
Jianming Zhang, Zhigao Zeng, Pradip Kumar Sharma, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124950-124950
Closed Access | Times Cited: 9

ERNet: A Rapid Road Crack Detection Method Using Low-Altitude UAV Remote Sensing Images
Zexian Duan, Jiahang Liu, Xinpeng Ling, et al.
Remote Sensing (2024) Vol. 16, Iss. 10, pp. 1741-1741
Open Access | Times Cited: 5

A DSF-net-based approach to dual-branch instance segmentation of weak bridge defects
He Zhang, Ruihong Shen, Jiawei Lei, et al.
Engineering Structures (2025) Vol. 327, pp. 119583-119583
Closed Access

Multi-task deep learning for crack segmentation and quantification in RC structures
Yi‐Chang Chen, Rih‐Teng Wu, Aishwarya Puranam
Automation in Construction (2024) Vol. 166, pp. 105599-105599
Closed Access | Times Cited: 4

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

Semantic segmentation and deep CNN learning vision-based crack recognition system for concrete surfaces: development and implementation
Yassir M. Abbas, Hussam Alghamdi
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed 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

Dual-branch crack segmentation network with multi-shape kernel based on convolutional neural network and Mamba
Jianming Zhang, Dianwen Li, Zhigao Zeng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110536-110536
Closed Access

Enhancing pavement crack segmentation via semantic diffusion synthesis model for strategic road assessment
Saúl Cano-Ortiz, Eugenio Sainz-Ortiz, L. Lloret Iglesias, et al.
Results in Engineering (2024) Vol. 23, pp. 102745-102745
Open Access | Times Cited: 3

CrackNet: A Hybrid Model for Crack Segmentation with Dynamic Loss Function
Yawen Fan, Zhengkai Hu, Qinxin Li, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7134-7134
Open Access | Times Cited: 3

ERNet: A Rapid Road Cracks Detection Method from Low-Altitude UAV Remote Sensing Image
Zexian Duan, Jiahang Liu, Xinpeng Ling, et al.
(2024)
Open Access | Times Cited: 2

Automatic Crack Detection and Segmentation of Masonry Structure Based on Yolov9-Seg and Edge Detection
Weiping Zhang, Yong Zhou, Yahui Wang, et al.
(2024)
Closed Access | Times Cited: 2

AFC-Unet: Attention-fused full-scale CNN-transformer unet for medical image segmentation
W.J. Meng, Shujun Liu, Huajun Wang
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106839-106839
Closed Access | Times Cited: 2

Lightweight decoder U-net crack segmentation network based on depthwise separable convolution
Yongbo Yu, Yage Zhang, Junyang Yu, et al.
Multimedia Systems (2024) Vol. 30, Iss. 5
Closed Access | Times Cited: 2

Real-time semantic segmentation for autonomous driving: A review of CNNs, Transformers, and Beyond
Mohammed A. M. Elhassan, Changjun Zhou, Ali Khan, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 10, pp. 102226-102226
Open Access | Times Cited: 2

Gender Identification of Chinese Mitten Crab Juveniles Based on Improved Faster R-CNN
Hao Gu, Ming Chen, Dongmei Gan
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 908-908
Open Access | Times Cited: 1

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

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.
(2024)
Closed Access

Automatic crack segmentation model based on multi-branch aggregation transformer
Jin Wang, Zhigao Zeng, Jianxin Wang, et al.
Advances in Structural Engineering (2024) Vol. 27, Iss. 13, pp. 2289-2302
Closed Access

A pavement crack segmentation method based on deformable convolution and enhanced perceive network
Lei Zhao, Longsheng Wei, Zhi Ma, et al.
Multimedia Tools and Applications (2024)
Closed Access

Semantics-Enhanced Refiner in Skip Connection for Crack Segmentation
Zhigao Zeng, Jin Wang, Cao Wei, et al.
Lecture notes in computer science (2024), pp. 81-92
Closed Access

Page 1 - Next Page

Scroll to top