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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:

Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources
Minh-Tu Cao, Quoc‐Viet Tran, Ngoc‐Mai Nguyen, et al.
Advanced Engineering Informatics (2020) Vol. 46, pp. 101182-101182
Closed Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Edge AI‐Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning
Rozi Bibi, Yousaf Saeed, Asim Zeb, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 176
DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism
Arunabha M. Roy, Jayabrata Bhaduri
Advanced Engineering Informatics (2023) Vol. 56, pp. 102007-102007
Closed Access | Times Cited: 153
Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review
Eshta Ranyal, Ayan Sadhu, Kamal Jain
Sensors (2022) Vol. 22, Iss. 8, pp. 3044-3044
Open Access | Times Cited: 111
Crack detection algorithm for concrete structures based on super-resolution reconstruction and segmentation network
Chaoqun Xiang, Wei Wang, Lu Deng, et al.
Automation in Construction (2022) Vol. 140, pp. 104346-104346
Closed Access | Times Cited: 77
From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection
Deeksha Arya, Hiroya Maeda, Yoshihide Sekimoto
Advanced Engineering Informatics (2024) Vol. 60, pp. 102388-102388
Closed Access | Times Cited: 15
Automatic tunnel lining crack detection via deep learning with generative adversarial network-based data augmentation
Zhong Zhou, Junjie Zhang, Chenjie Gong, et al.
Underground Space (2022) Vol. 9, pp. 140-154
Open Access | Times Cited: 49
Towards a sustainable monitoring: A self-powered smart transportation infrastructure skin
Qiang Zheng, Yue Hou, Hailu Yang, et al.
Nano Energy (2022) Vol. 98, pp. 107245-107245
Closed Access | Times Cited: 45
Surface defect detection of civil structures using images: Review from data perspective
Jingjing Guo, Pengkun Liu, Bo Xiao, et al.
Automation in Construction (2023) Vol. 158, pp. 105186-105186
Closed Access | Times Cited: 34
Image Processing Techniques for Concrete Crack Detection: A Scientometrics Literature Review
Md. Al-Masrur Khan, Seong‐Hoon Kee, Al‐Sakib Khan Pathan, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2400-2400
Open Access | Times Cited: 28
Automatic augmentation and segmentation system for three-dimensional point cloud of pavement potholes by fusion convolution and transformer
Jiaxiu Dong, Niannian Wang, Hongyuan Fang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102378-102378
Closed Access | Times Cited: 12
StreetSurfaceVis: a dataset of crowdsourced street-level imagery annotated by road surface type and quality
Alexandra Kapp, E. Hoffmann, Esther Weigmann, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
An Efficient and Scalable Deep Learning Approach for Road Damage Detection
Sadra Naddaf-Sh, M-Mahdi Naddaf-Sh, Amir R. Kashani, et al.
2021 IEEE International Conference on Big Data (Big Data) (2020), pp. 5602-5608
Open Access | Times Cited: 56
A review of deep learning methods for pixel-level crack detection
Hongxia Li, Weixing Wang, Mengfei Wang, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2022) Vol. 9, Iss. 6, pp. 945-968
Open Access | Times Cited: 35
Bibliometric Analysis and Review of Deep Learning-Based Crack Detection Literature Published between 2010 and 2022
Luqman Ali, Fady Alnajjar, Wasif Khan, et al.
Buildings (2022) Vol. 12, Iss. 4, pp. 432-432
Open Access | Times Cited: 34
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 Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and Quantification
Yu‐Ting Huang, Mohammad R. Jahanshahi, Fangjia Shen, et al.
Journal of Transportation Engineering Part B Pavements (2023) Vol. 149, Iss. 2
Closed Access | Times Cited: 17
Deep learning-assisted automatic quality assessment of concrete surfaces with cracks and bugholes
Jiepeng Liu, Zhengtao Yang, Hongtuo Qi, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102577-102577
Closed Access | Times Cited: 7
RDD-YOLO: Road Damage Detection Algorithm Based on Improved You Only Look Once Version 8
Yue Li, Chang Yin, Yutian Lei, et al.
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3360-3360
Open Access | Times Cited: 6
Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach
Minh-Tu Cao, Kuan-Tsung Chang, Ngoc‐Mai Nguyen, et al.
Soft Computing (2021) Vol. 25, Iss. 20, pp. 12839-12855
Open Access | Times Cited: 36
Computer Vision‐Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic‐Based Investigation Metaheuristic
Nhat‐Duc Hoang, Thanh‐Canh Huynh, Van-Duc Tran
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 34
Indian pothole detection based on CNN and anchor-based deep learning method
Mallikarjun Anandhalli, A. Tanuja, Vishwanath P. Baligar, et al.
International Journal of Information Technology (2022) Vol. 14, Iss. 7, pp. 3343-3353
Closed Access | Times Cited: 24
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
Road damage detection and classification using deep neural networks
Yi-Wen Jiang
Deleted Journal (2024) Vol. 6, Iss. 8
Open Access | Times Cited: 4
Development of an Algorithm for Analysing the Condition of the Road Surface Using Artificial Intelligence
Artеm Rada, Nikolaj Kon’kov
World of Transport and Transportation (2025) Vol. 22, Iss. 2, pp. 40-46
Closed Access
Real-time dynamic scale-aware fusion detection network: take road damage detection as an example
Weichao Pan, Xu Wang, Wenqing Huan
Journal of Real-Time Image Processing (2025) Vol. 22, Iss. 2
Closed Access
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