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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 distress detection using convolutional neural networks with images captured via UAV
Junqing Zhu, Jingtao Zhong, Tao Ma, et al.
Automation in Construction (2021) Vol. 133, pp. 103991-103991
Closed Access | Times Cited: 185

Showing 1-25 of 185 citing articles:

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
Pavement anomaly detection based on transformer and self-supervised learning
Zijie Lin, Hui Wang, Shenglin Li
Automation in Construction (2022) Vol. 143, pp. 104544-104544
Closed Access | Times Cited: 89
Automatic Detection of Pothole Distress in Asphalt Pavement Using Improved Convolutional Neural Networks
Danyu Wang, Zhen Liu, Xingyu Gu, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 3892-3892
Open Access | Times Cited: 76
Concrete dam damage detection and localisation based on YOLOv5s-HSC and photogrammetric 3D reconstruction
Sizeng Zhao, Fei Kang, Junjie Li
Automation in Construction (2022) Vol. 143, pp. 104555-104555
Closed Access | Times Cited: 75
Road damage detection using UAV images based on multi-level attention mechanism
Yingchao Zhang, Zhiwu Zuo, Xiaobin Xu, et al.
Automation in Construction (2022) Vol. 144, pp. 104613-104613
Closed Access | Times Cited: 69
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
Noncontact Sensing Techniques for AI-Aided Structural Health Monitoring: A Systematic Review
Alessandro Sabato, Shweta Dabetwar, Nitin Nagesh Kulkarni, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 5, pp. 4672-4684
Closed Access | Times Cited: 42
Pixel-level road crack detection in UAV remote sensing images based on ARD-Unet
Yuxi Gao, Hongbin Cao, Weiwei Cai, et al.
Measurement (2023) Vol. 219, pp. 113252-113252
Closed Access | Times Cited: 40
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
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
RDD2022: A multi‐national image dataset for automatic road damage detection
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, et al.
Geoscience Data Journal (2024)
Open Access | Times Cited: 15
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
Asphalt pavement density measurement using non-destructive testing methods: current practices, challenges, and future vision
Siqi Wang, Xin Sui, Zhen Leng, et al.
Construction and Building Materials (2022) Vol. 344, pp. 128154-128154
Closed Access | Times Cited: 47
High-resolution concrete damage image synthesis using conditional generative adversarial network
Shengyuan Li, Xuefeng Zhao
Automation in Construction (2023) Vol. 147, pp. 104739-104739
Closed Access | Times Cited: 35
Role of carbon fiber in the electrothermal behavior and geopolymerization process of carbon fiber-reinforced FA-GBFS geopolymer composite
Gonghui Gu, Yaowen Pei, Tao Ma, et al.
Construction and Building Materials (2023) Vol. 369, pp. 130597-130597
Closed Access | Times Cited: 35
Evidential transformer for pavement distress segmentation
Tong Zheng, Tao Ma, Weiguang Zhang, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 16, pp. 2317-2338
Closed Access | Times Cited: 34
Applications of vegetable oils and their derivatives as Bio-Additives for use in asphalt binders: A review
Conglin Chen, Jinbo Lu, Tao Ma, et al.
Construction and Building Materials (2023) Vol. 383, pp. 131312-131312
Closed Access | Times Cited: 32
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
An Integrated Method for Road Crack Segmentation and Surface Feature Quantification under Complex Backgrounds
Lu Deng, An Zhang, Jingjing Guo, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1530-1530
Open Access | Times Cited: 22
A Multitask Fusion Network for Region-Level and Pixel-Level Pavement Distress Detection
Jingtao Zhong, Miaomiao Zhang, Yuetan Ma, et al.
Journal of Transportation Engineering Part B Pavements (2024) Vol. 150, Iss. 1
Closed Access | Times Cited: 12
YOLOv7-RDD: A Lightweight Efficient Pavement Distress Detection Model
Zhipeng Ning, Hui Wang, Shenglin Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 6994-7003
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
A Pavement Crack Detection and Evaluation Framework for a UAV Inspection System Based on Deep Learning
Xinbao Chen, Chang Liu, Long Chen, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1157-1157
Open Access | Times Cited: 9
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