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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:

Automated pixel-level pavement distress detection based on stereo vision and deep learning
Jinchao Guan, Xu Yang, Ling Ding, et al.
Automation in Construction (2021) Vol. 129, pp. 103788-103788
Closed Access | Times Cited: 136

Showing 1-25 of 136 citing articles:

Deep learning-based road damage detection and classification for multiple countries
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, et al.
Automation in Construction (2021) Vol. 132, pp. 103935-103935
Open Access | Times Cited: 178
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
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
Real-time detection of cracks in tiled sidewalks using YOLO-based method applied to unmanned aerial vehicle (UAV) images
Qiwen Qiu, Denvid Lau
Automation in Construction (2023) Vol. 147, pp. 104745-104745
Closed Access | Times Cited: 118
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
Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering
Jianqi Zhang, Yang Xu, Wei Wang, et al.
Automation in Construction (2022) Vol. 146, pp. 104699-104699
Closed Access | Times Cited: 83
Deep learning and infrared thermography for asphalt pavement crack severity classification
Fangyu Liu, Jian Liu, Linbing Wang
Automation in Construction (2022) Vol. 140, pp. 104383-104383
Closed Access | Times Cited: 81
A deeper generative adversarial network for grooved cement concrete pavement crack detection
Jingtao Zhong, Ju Huyan, Weiguang Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105808-105808
Closed Access | Times Cited: 51
Multiple-type distress detection in asphalt concrete pavement using infrared thermography and deep learning
Fangyu Liu, Jian Liu, Linbing Wang, et al.
Automation in Construction (2024) Vol. 161, pp. 105355-105355
Closed Access | Times Cited: 16
Deep Learning-Based Thermal Image Analysis for Pavement Defect Detection and Classification Considering Complex Pavement Conditions
Cheng Chen, Sindhu Chandra, Yufan Han, et al.
Remote Sensing (2021) Vol. 14, Iss. 1, pp. 106-106
Open Access | Times Cited: 67
Review of Recent Automated Pothole-Detection Methods
Young‐Mok Kim, Young-Gil Kim, Seung-Yong Son, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5320-5320
Open Access | Times Cited: 60
Deep learning-based crack segmentation for civil infrastructure: data types, architectures, and benchmarked performance
Shanglian Zhou, Carlos Canchila, Wei Song
Automation in Construction (2022) Vol. 146, pp. 104678-104678
Closed Access | Times Cited: 60
Multi-scale feature fusion network for pixel-level pavement distress detection
Jingtao Zhong, Junqing Zhu, Ju Huyan, et al.
Automation in Construction (2022) Vol. 141, pp. 104436-104436
Closed Access | Times Cited: 57
Asphalt pavement fatigue crack severity classification by infrared thermography and deep learning
Fangyu Liu, Jian Liu, Linbing Wang
Automation in Construction (2022) Vol. 143, pp. 104575-104575
Closed Access | Times Cited: 48
A night pavement crack detection method based on image‐to‐image translation
Chao Liu, Boqiang Xu
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 13, pp. 1737-1753
Closed Access | Times Cited: 45
Review of advanced road materials, structures, equipment, and detection technologies
Maria Chiara Cavalli, Chen De, Qian Chen, et al.
Journal of Road Engineering (2023) Vol. 3, Iss. 4, pp. 370-468
Open Access | Times Cited: 28
Automated Road Damage Detection Using UAV Images and Deep Learning Techniques
Luís Augusto Silva, Valderi Reis Quietinho Leithardt, Vivian F. López, et al.
IEEE Access (2023) Vol. 11, pp. 62918-62931
Open Access | Times Cited: 27
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
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: 11
Automation in road distress detection, diagnosis and treatment
Xu Yang, Jianqi Zhang, Wenbo Liu, et al.
Journal of Road Engineering (2024) Vol. 4, Iss. 1, pp. 1-26
Open Access | Times Cited: 10
MFAFNet: An innovative crack intelligent segmentation method based on multi-layer feature association fusion network
Jiaxiu Dong, Niannian Wang, Hongyuan Fang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102584-102584
Closed Access | Times Cited: 10
Improving the Classification Performance of Asphalt Cracks After Earthquake With a New Feature Selection Algorithm
Mehmet Yılmaz, Erkut Yalçın, Saif Kifah, et al.
IEEE Access (2024) Vol. 12, pp. 6604-6614
Open Access | Times Cited: 8
GIScience and remote sensing in natural resource and environmental research: Status quo and future perspectives
Tao Pei, Jun Xu, Yu Liu, et al.
Geography and sustainability (2021) Vol. 2, Iss. 3, pp. 207-215
Open Access | Times Cited: 41
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
Advanced pavement distress recognition and 3D reconstruction by using GA-DenseNet and binocular stereo vision
Jiale Li, Tao Liu, Xuefei Wang
Measurement (2022) Vol. 201, pp. 111760-111760
Closed Access | Times Cited: 29
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