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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:

Attention‐Based Convolutional Neural Network for Pavement Crack Detection
Haifeng Wan, Lei Gao, Manman Su, et al.
Advances in Materials Science and Engineering (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Pavement crack detection from CCD images with a locally enhanced transformer network
Zhengsen Xu, Haiyan Guan, Jian Kang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 110, pp. 102825-102825
Open Access | Times Cited: 59
Structural Damage Identification Using Ensemble Deep Convolutional Neural Network Models
Mohammad Sadegh Barkhordari, Danial Jahed Armaghani, Panagiotis G. Asteris
Computer Modeling in Engineering & Sciences (2022) Vol. 134, Iss. 2, pp. 835-855
Open Access | Times Cited: 59
Integrated APC-GAN and AttuNet Framework for Automated Pavement Crack Pixel-Level Segmentation: A New Solution to Small Training Datasets
Tianjie Zhang, Donglei Wang, Amanda Mullins, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 4, pp. 4474-4481
Closed Access | Times Cited: 25
Encoder–decoder with pyramid region attention for pixel‐level pavement crack recognition
Hui Yao, Yanhao Liu, Haotian Lv, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 10, pp. 1490-1506
Open Access | Times Cited: 23
A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning
Nhat‐Duc Hoang, Thanh‐Canh Huynh, Xuan-Linh Tran, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 32
Deep CNN Approach with Visual Features for Real-Time Pavement Crack Detection
Bakhytzhan Kulambayev, Gulnar Astaubayeva, Gulnara Tleuberdiyeva, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access | Times Cited: 4
Development and optimization of object detection technology in civil engineering: A literature review
Hui Yao, Yaning Fan, Yanhao Liu, et al.
Journal of Road Engineering (2024) Vol. 4, Iss. 2, pp. 163-188
Open Access | Times Cited: 4
Improved Asphalt Pavement Crack Detection Model Based on Shuffle Attention and Feature Fusion
Tursun Mamat, Abdukeram Dolkun, Rui He, et al.
Journal of Advanced Transportation (2025) Vol. 2025, Iss. 1
Open Access
Two-step deep learning approach for pavement crack damage detection and segmentation
Yongqing Jiang, Dandan Pang, Chengdong Li, et al.
International Journal of Pavement Engineering (2022) Vol. 24, Iss. 2
Closed Access | Times Cited: 16
Leveraging Saliency in Single-Stage Multi-Label Concrete Defect Detection Using Unmanned Aerial Vehicle Imagery
Loucif Hebbache, Dariush Amirkhani, Mohand Saïd Allili, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1218-1218
Open Access | Times Cited: 10
Comparison of multimodal RGB-thermal fusion techniques for exterior wall multi-defect detection
Xincong Yang, Runhao Guo, Heng Li
Journal of Infrastructure Intelligence and Resilience (2023) Vol. 2, Iss. 2, pp. 100029-100029
Open Access | Times Cited: 10
Data-driven approach for AI-based crack detection: techniques, challenges, and future scope
Priti Chakurkar, Deepali Vora, Shruti Patil, et al.
Frontiers in Sustainable Cities (2023) Vol. 5
Open Access | Times Cited: 8
PMENet: a parallel UNet based on the fusion of multiple attention mechanisms for road crack segmentation
Ban Wang, Changlu Dai, Jun Li, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 757-769
Closed Access | Times Cited: 2
Training Surface Crack Segmentation Networks with Group-wise Normalization Attention and Padding-Shifting-Cutting Convolution
Jianming Zhang, Fengxiang Huang, Yaru Lv, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 21093-21107
Closed Access | Times Cited: 2
Concrete Spalling Severity Classification Using Image Texture Analysis and a Novel Jellyfish Search Optimized Machine Learning Approach
Nhat‐Duc Hoang, Thanh‐Canh Huynh, Van-Duc Tran
Advances in Civil Engineering (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 16
Pavement Crack Detection in Infrared Images Using a DCNN and CCL Algorithm
Dongwei Qiu, Mingjian Xiao, Shanshan Wan, et al.
IEEE Sensors Journal (2022) Vol. 23, Iss. 5, pp. 4548-4555
Closed Access | Times Cited: 11
Improvement of Multiclass Classification of Pavement Objects Using Intensity and Range Images
Elham Eslami, Hae‐Bum Yun
Journal of Advanced Transportation (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 9
Policy Gradient–Based Focal Loss to Reduce False Negative Errors of Convolutional Neural Networks for Pavement Crack Segmentation
Enhui Yang, Youzhi Tang, Allen Zhang, et al.
Journal of Infrastructure Systems (2023) Vol. 29, Iss. 1
Closed Access | Times Cited: 5
Automatic Detection of Pavement Marking Defects in Road Inspection Images Using Deep Learning
Yazhen Sun, Haixiang Tang, Huaizhi Zhang
Journal of Performance of Constructed Facilities (2024) Vol. 38, Iss. 2
Closed Access | Times Cited: 1
WallNet: Hierarchical Visual Attention-Based Model for Putty Bulge Terminal Points Detection
Mahmoud A. Eldosoky, Jianping Li, Amin Ul Haq, et al.
The Visual Computer (2024)
Closed Access | Times Cited: 1
LCSNet: Light-Weighted Convolution-Based Segmentation Method with Separable Multi-Directional Convolution Module for Concrete Crack Segmentation in Drones
Xiaohu Zhang, Haifeng Huang
Electronics (2024) Vol. 13, Iss. 7, pp. 1307-1307
Open Access | Times Cited: 1
How to Make a State of the Art Report—Case Study—Image-Based Road Crack Detection: A Scientometric Literature Review
Luxin Fan, Saihong Tang, Mohd Khairol Anuar Mohd Ariffin, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4817-4817
Open Access | Times Cited: 1
Residual Pyramidal GAN (RP-GAN) for crack detection and prediction of crack growth in engineered cementitious composites
Goodnews E. Amieghemen, Mahyar Ramezani, Muhammad M. Sherif
Measurement (2024) Vol. 242, pp. 115769-115769
Open Access | Times Cited: 1
A data-driven based method for damage detection of combining joints and elements of frame structures using noisy incomplete data
Tam T. Truong, Jaehong Lee, T. Nguyen‐Thoi
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107160-107160
Closed Access | Times Cited: 3
Defect detection of large wind turbine blades based on image stitching and improved Unet network
Wanrun Li, Zihong Pan, Na Hong, et al.
Journal of Renewable and Sustainable Energy (2022) Vol. 15, Iss. 1
Closed Access | Times Cited: 5
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