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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:

Pavement crack image acquisition methods and crack extraction algorithms: A review
Weixing Wang, Mengfei Wang, Hongxia Li, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2019) Vol. 6, Iss. 6, pp. 535-556
Open Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

A critical review and comparative study on image segmentation-based techniques for pavement crack detection
Narges Kheradmandi, Vida Mehranfar
Construction and Building Materials (2022) Vol. 321, pp. 126162-126162
Closed Access | Times Cited: 234
GAN-based anomaly detection: A review
Xuan Xia, Xizhou Pan, Nan Li, et al.
Neurocomputing (2022) Vol. 493, pp. 497-535
Closed Access | Times Cited: 233
New innovations in pavement materials and engineering: A review on pavement engineering research 2021
Jiaqi Chen, Han-Cheng Dan, Yongjie Ding, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2021) Vol. 8, Iss. 6, pp. 815-999
Open Access | Times Cited: 146
Review on computer vision-based crack detection and quantification methodologies for civil structures
Jianghua Deng, Amardeep Singh, Yiyi Zhou, et al.
Construction and Building Materials (2022) Vol. 356, pp. 129238-129238
Closed Access | Times Cited: 108
Automated asphalt pavement damage rate detection based on optimized GA-CNN
Jiale Li, Tao Liu, Xuefei Wang, et al.
Automation in Construction (2022) Vol. 136, pp. 104180-104180
Closed Access | Times Cited: 72
A UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning
Peng Xiong, Xingu Zhong, Chao Zhao, et al.
Construction and Building Materials (2021) Vol. 299, pp. 123896-123896
Closed Access | Times Cited: 95
Use of Parallel ResNet for High-Performance Pavement Crack Detection and Measurement
Zhun Fan, Huibiao Lin, Chong Li, et al.
Sustainability (2022) Vol. 14, Iss. 3, pp. 1825-1825
Open Access | Times Cited: 61
A deep residual neural network framework with transfer learning for concrete dams patch-level crack classification and weakly-supervised localization
Yangtao Li, Tengfei Bao, Bo Xu, et al.
Measurement (2021) Vol. 188, pp. 110641-110641
Closed Access | Times Cited: 59
A Detection Method for Pavement Cracks Combining Object Detection and Attention Mechanism
Hui Yao, Yanhao Liu, Xin Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 22179-22189
Closed Access | Times Cited: 45
Revolutionizing concrete analysis: An in-depth survey of AI-powered insights with image-centric approaches on comprehensive quality control, advanced crack detection and concrete property exploration
Kaustav Sarkar, Amit Shiuly, Krishna Gopal Dhal
Construction and Building Materials (2023) Vol. 411, pp. 134212-134212
Closed Access | Times Cited: 34
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
U-Net-Based CNN Architecture for Road Crack Segmentation
Alessandro Di Benedetto, Margherita Fiani, Lucas Matias Gujski
Infrastructures (2023) Vol. 8, Iss. 5, pp. 90-90
Open Access | Times Cited: 23
An end-to-end computer vision system based on deep learning for pavement distress detection and quantification
Saúl Cano-Ortiz, L. Lloret Iglesias, P. Martínez Ruiz del Árbol, et al.
Construction and Building Materials (2024) Vol. 416, pp. 135036-135036
Open Access | Times Cited: 8
Measurement of Asphalt Pavement Crack Length Using YOLO V5-BiFPN
Sike Wang, Qiao Dong, Xueqin Chen, et al.
Journal of Infrastructure Systems (2024) Vol. 30, Iss. 2
Closed Access | Times Cited: 8
Lane departure warning systems and lane line detection methods based on image processing and semantic segmentation: A review
Weiwei Chen, Weixing Wang, Kevin Wang, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2020) Vol. 7, Iss. 6, pp. 748-774
Open Access | Times Cited: 67
Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas
Nicoletta Nappo, Olga Mavrouli, Francesco Nex, et al.
Engineering Geology (2021) Vol. 294, pp. 106363-106363
Open Access | Times Cited: 54
Intelligent Crack Detection and Quantification in the Concrete Bridge: A Deep Learning‐Assisted Image Processing Approach
Licun Yu, Shuanhai He, Xiaosong Liu, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 29
Real-time instance-level detection of asphalt pavement distress combining space-to-depth (SPD) YOLO and omni-scale network (OSNet)
Jiale Li, Chenglong Yuan, Xuefei Wang
Automation in Construction (2023) Vol. 155, pp. 105062-105062
Closed Access | Times Cited: 21
Pavement Crack Detection Based on the Improved Swin-Unet Model
Song Chen, Zhixuan Feng, Guangqing Xiao, et al.
Buildings (2024) Vol. 14, Iss. 5, pp. 1442-1442
Open Access | Times Cited: 6
Rock blasting crack network recognition based on faster RCNN-ZOA-DELM model
Yu Lei, Shengtao Zhou, Shuaishuai Niu, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access
MobileCrack: Object Classification in Asphalt Pavements Using an Adaptive Lightweight Deep Learning
Yue Hou, Qiuhan Li, Qiang Han, et al.
Journal of Transportation Engineering Part B Pavements (2020) Vol. 147, Iss. 1, pp. 04020092-04020092
Closed Access | Times Cited: 47
Pavement Crack Detection from Mobile Laser Scanning Point Clouds Using a Time Grid
Mianqing Zhong, Lichun Sui, Zhihua Wang, et al.
Sensors (2020) Vol. 20, Iss. 15, pp. 4198-4198
Open Access | Times Cited: 43
A Deep Learning Model for Road Damage Detection After an Earthquake Based on Synthetic Aperture Radar (SAR) and Field Datasets
Sadra Karimzadeh, Mohammad Ghasemi, M. Matsuoka, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 5753-5765
Open Access | Times Cited: 22
TV-Net: A Structure-Level Feature Fusion Network Based on Tensor Voting for Road Crack Segmentation
Wenwen Zheng, Xiaoyan Jiang, Zhijun Fang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 6, pp. 5743-5754
Closed Access | Times Cited: 4
A bilateral semantic guidance network for detection of off-road freespace with impairments based on joint semantic segmentation and edge detection
Jiyuan Qiu, Chen Jiang
Computers & Electrical Engineering (2025) Vol. 123, pp. 110045-110045
Closed Access
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