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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:

Automatic Pavement Crack Detection and Classification Using Multiscale Feature Attention Network
Song Wei-dong, Guohui Jia, Di Jia, et al.
IEEE Access (2019) Vol. 7, pp. 171001-171012
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Pavement crack detection based on transformer network
Feng Guo, Yu Qian, Jian Liu, et al.
Automation in Construction (2022) Vol. 145, pp. 104646-104646
Closed Access | Times Cited: 126
Road damage detection using super-resolution and semi-supervised learning with generative adversarial network
Seungbo Shim, Jin Kim, Seong-Won Lee, et al.
Automation in Construction (2022) Vol. 135, pp. 104139-104139
Open Access | Times Cited: 74
A hybrid deep learning pavement crack semantic segmentation
Zaid Al‐Huda, Bo Peng, Riyadh Nazar Ali Algburi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106142-106142
Closed Access | Times Cited: 67
A Deeply Supervised Convolutional Neural Network for Pavement Crack Detection With Multiscale Feature Fusion
Zhong Qu, Chong Cao, Ling Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 9, pp. 4890-4899
Closed Access | Times Cited: 96
A Crack Detection Algorithm for Concrete Pavement Based on Attention Mechanism and Multi-Features Fusion
Zhong Qu, Wen Chen, Shiyan Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 8, pp. 11710-11719
Closed Access | Times Cited: 84
RENet: Rectangular convolution pyramid and edge enhancement network for salient object detection of pavement cracks
Yanyan Wang, Kechen Song, Jie Liu, et al.
Measurement (2020) Vol. 170, pp. 108698-108698
Closed Access | Times Cited: 69
Automated defect inspection of concrete structures
Jun Kang Chow, Kuan-Fu Liu, Pin Siang Tan, et al.
Automation in Construction (2021) Vol. 132, pp. 103959-103959
Closed Access | Times Cited: 65
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
Real‐time automatic crack detection method based on drone
Shiqiao Meng, Zhiyuan Gao, Ying Zhou, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 7, pp. 849-872
Closed Access | Times Cited: 61
Automated Asphalt Highway Pavement Crack Detection Based on Deformable Single Shot Multi-Box Detector Under a Complex Environment
Kun Yan, Zhihua Zhang
IEEE Access (2021) Vol. 9, pp. 150925-150938
Open Access | Times Cited: 56
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
The classification and localization of crack using lightweight convolutional neural network with CBAM
Liujie Chen, Haodong Yao, Jiyang Fu, et al.
Engineering Structures (2022) Vol. 275, pp. 115291-115291
Closed Access | Times Cited: 48
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
A Method of Hierarchical Feature Fusion and Connected Attention Architecture for Pavement Crack Detection
Zhong Qu, Cai-Yun Wang, Shiyan Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 9, pp. 16038-16047
Closed Access | Times Cited: 39
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
Encoder–decoder with pyramid region attention for pixel‐level pavement crack recognition
Hui Yao, Yanhao Liu, Haotian Lv, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 10, pp. 1490-1506
Open Access | Times Cited: 23
Enhancing pavement health assessment: An attention-based approach for accurate crack detection, measurement, and mapping
Eshta Ranyal, Ayan Sadhu, Kamal Jain
Expert Systems with Applications (2024) Vol. 247, pp. 123314-123314
Closed Access | Times Cited: 13
Pixel-level bridge crack detection using a deep fusion about recurrent residual convolution and context encoder network
Gang Li, Xiyuan Li, Jian Zhou, et al.
Measurement (2021) Vol. 176, pp. 109171-109171
Closed Access | Times Cited: 50
BARNet: Boundary Aware Refinement Network for Crack Detection
Jing-Ming Guo, Herleeyandi Markoni, Jiann-Der Lee
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 7, pp. 7343-7358
Closed Access | Times Cited: 48
Autonomous Crack and Bughole Detection for Concrete Surface Image Based on Deep Learning
Yujia Sun, Yang Yang, Gang Yao, et al.
IEEE Access (2021) Vol. 9, pp. 85709-85720
Open Access | Times Cited: 43
Automated pixel-level crack detection and quantification using deep convolutional neural networks for structural condition assessment
Jingyue Yuan, Qiubing Ren, Chao Jia, et al.
Structures (2023) Vol. 59, pp. 105780-105780
Closed Access | Times Cited: 20
Pavement Defect Detection With Deep Learning: A Comprehensive Survey
Lili Fan, Dandan Wang, Junhao Wang, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 3, pp. 4292-4311
Closed Access | Times Cited: 19
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: 7
Attention-Based Multi-Scale Convolutional Neural Network (A+MCNN) for Multi-Class Classification in Road Images
Elham Eslami, Hae‐Bum Yun
Sensors (2021) Vol. 21, Iss. 15, pp. 5137-5137
Open Access | Times Cited: 36
DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation
Vladimir Polovnikov, Dmitriy Alekseev, Ivan Vinogradov, et al.
IEEE Access (2021) Vol. 9, pp. 125714-125723
Open Access | Times Cited: 33
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