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:

CCapFPN: A Context-Augmented Capsule Feature Pyramid Network for Pavement Crack Detection
Yongtao Yu, Haiyan Guan, Dilong Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 23, Iss. 4, pp. 3324-3335
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Unmanned Aerial Vehicle (UAV)-Based Pavement Image Stitching Without Occlusion, Crack Semantic Segmentation, and Quantification
Jinhuan Shan, Wei Jiang, Yue Huang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 17038-17053
Closed Access | Times Cited: 19

Pavement crack detection with hybrid-window attentive vision transformers
Shaozhang Xiao, Kaikai Shang, Ken Lin, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 116, pp. 103172-103172
Open Access | Times Cited: 41

Network for robust and high-accuracy pavement crack segmentation
Yingchao Zhang, Cheng Liu
Automation in Construction (2024) Vol. 162, pp. 105375-105375
Closed Access | Times Cited: 13

A method of hierarchical feature fusion and adaptive receptive field for concrete pavement crack detection
Zhong Qu, Bin Yuan, Guoqing Mu
Signal Image and Video Processing (2025) Vol. 19, Iss. 1
Closed Access

ConTrack Distress Dataset: A Continuous Observation for Pavement Deterioration Spatio-Temporal Analysis
Yishun Li, Chenglong Liu, Qian Gao, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 25004-25017
Closed Access | Times Cited: 15

Application of noise-cancelling and smoothing techniques in road pavement vibration monitoring data
Amir Shtayat, Sara Moridpour, Berthold Best, et al.
International Journal of Transportation Science and Technology (2023) Vol. 14, pp. 110-119
Open Access | Times Cited: 8

Multi-scale local feature enhanced transformer network for pavement crack detection
Zhengsen Xu, Xiangda Lei, Haiyan Guan
Journal of Image and Graphics (2023) Vol. 28, Iss. 4, pp. 1019-1028
Closed Access | Times Cited: 7

FedCrack: Federated Transfer Learning With Unsupervised Representation for Crack Detection
Xiating Jin, Jiajun Bu, Zhi Yu, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 10, pp. 11171-11184
Closed Access | Times Cited: 7

A pyramid auxiliary supervised U-Net model for road crack detection with dual-attention mechanism
Yingxiang Lu, Guangyuan Zhang, Shukai Duan, et al.
Displays (2024) Vol. 84, pp. 102787-102787
Closed Access | Times Cited: 2

Pavement Crack Detection Using Fractal Dimension and Semi-Supervised Learning
Wenhao Guo, Leiyang Zhong, Dejin Zhang, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 8, pp. 468-468
Open Access | Times Cited: 2

Rs-net: Residual Sharp U-Net architecture for pavement crack segmentation and severity assessment
Luqman Ali, Hamad Al Jassmi, Mohammed Swavaf, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2

Synthesizing the performance of deep learning in vision-based pavement distress detection
Zia U. A. Zihan, Omar Smadi, Miranda Tilberg, et al.
Innovative Infrastructure Solutions (2023) Vol. 8, Iss. 11
Closed Access | Times Cited: 6

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

Intelligent detection and mileage positioning of multiple distresses using two-step deep learning
Zishuo Dong, Allen Zhang, Yue Ding, et al.
Automation in Construction (2024) Vol. 166, pp. 105643-105643
Closed Access | Times Cited: 1

Survey of automated crack detection methods for asphalt and concrete structures
Oumaima Khlifati, Khadija Baba, Bassam A. Tayeh
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 11
Closed Access | Times Cited: 1

Scd-yolo: a novel object detection method for efficient road crack detection
Kuiye Ding, Zhenhui Ding, Zengbin Zhang, et al.
Multimedia Systems (2024) Vol. 30, Iss. 6
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

Road Pothole Detection Algorithm and Guide Belt Designed for Visually Impaired
Ming‐An Chung, Sung-Yun Chai, Ming-Chun Hsieh, et al.
(2023), pp. 475-478
Closed Access | Times Cited: 3

A Fractional Integral and Fractal Dimension-Based Deep Learning Approach for Pavement Crack Detection in Transportation Service Management
Ting Cao, Lei Liu, Kan Wang, et al.
IEEE Transactions on Network and Service Management (2022) Vol. 19, Iss. 4, pp. 4201-4212
Closed Access | Times Cited: 4

Classification models for practical deployment in different civil engineering applications
Kundan Meshram
Elsevier eBooks (2024), pp. 71-87
Closed Access

SCD-YOLO: A Novel Object Detection Method for Efficient Road Crack Detection
Kuiye Ding, Zhenhui Ding, Zengbin Zhang, et al.
Research Square (Research Square) (2024)
Open Access

Improving Pavement Crack Segmentation Using Attention Mechanism and Self-gated Activation
Nusrat Jahan, Thangarajah Akilan, T Suresh
(2024) Vol. 72, pp. 853-858
Closed Access

Survey on Pavement Distress Detection and Recognition
R. Sheeja, Jeffery George, Laya Prathap Nambiar, et al.
(2024), pp. 1-7
Closed Access

Towards Pavement Crack Detection and Classification Based on Machine Leaning Methods
Yuheng He, Mei Wu, Min Sun, et al.
Lecture notes in electrical engineering (2022), pp. 1-9
Closed Access | Times Cited: 1

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