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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:

Anomaly detection of defects on concrete structures with the convolutional autoencoder
Jun Kang Chow, Zhi-bin Su, Jianhua Wu, et al.
Advanced Engineering Informatics (2020) Vol. 45, pp. 101105-101105
Closed Access | Times Cited: 252

Showing 1-25 of 252 citing articles:

Robust Deep Learning Methods for Anomaly Detection
Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla
(2020), pp. 3507-3508
Closed Access | Times Cited: 421
Automatic defect detection of metro tunnel surfaces using a vision-based inspection system
Dawei Li, Qian Xie, Xiaoxi Gong, et al.
Advanced Engineering Informatics (2020) Vol. 47, pp. 101206-101206
Closed Access | Times Cited: 164
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
Inpainting Transformer for Anomaly Detection
Jonathan Pirnay, Keng Yip Chai
Lecture notes in computer science (2022), pp. 394-406
Open Access | Times Cited: 112
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Xian Tao, Xinyi Gong, Xin Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-21
Open Access | Times Cited: 101
Scanning electron microscopy (SEM) image segmentation for microstructure analysis of concrete using U-net convolutional neural network
Srikanth Sagar Bangaru, Chao Wang, Xu Zhou, et al.
Automation in Construction (2022) Vol. 144, pp. 104602-104602
Closed Access | Times Cited: 73
Deep CNN-based visual defect detection: Survey of current literature
Shashi Bhushan Jha, Radu F. Babiceanu
Computers in Industry (2023) Vol. 148, pp. 103911-103911
Closed Access | Times Cited: 69
Internet of Everything and Digital Twin enabled Service Platform for Cold Chain Logistics
Wei Wu, Leidi Shen, Zhiheng Zhao, et al.
Journal of Industrial Information Integration (2023) Vol. 33, pp. 100443-100443
Open Access | Times Cited: 57
Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry
Ci-Jyun Liang, Thai-Hoa Le, Youngjib Ham, et al.
Automation in Construction (2024) Vol. 162, pp. 105369-105369
Open Access | Times Cited: 25
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: 107
Autoencoder-based anomaly detection for surface defect inspection
Du‐Ming Tsai, Po-Hao Jen
Advanced Engineering Informatics (2021) Vol. 48, pp. 101272-101272
Closed Access | Times Cited: 90
SMD LED chips defect detection using a YOLOv3-dense model
Ssu‐Han Chen, Chia‐Chun Tsai
Advanced Engineering Informatics (2021) Vol. 47, pp. 101255-101255
Closed Access | Times Cited: 83
Machine vision-based surface crack analysis for transportation infrastructure
Wenbo Hu, Weidong Wang, Chengbo Ai, et al.
Automation in Construction (2021) Vol. 132, pp. 103973-103973
Closed Access | Times Cited: 82
VAE-based Deep SVDD for anomaly detection
Yu Zhou, Xiaomin Liang, Wei Zhang, et al.
Neurocomputing (2021) Vol. 453, pp. 131-140
Closed Access | Times Cited: 76
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: 66
Auto-Annotated Deep Segmentation for Surface Defect Detection
Du‐Ming Tsai, Shu‐Kai S. Fan, Yi-Hsiang Chou
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 64
AnoViT: Unsupervised Anomaly Detection and Localization With Vision Transformer-Based Encoder-Decoder
Yunseung Lee, Pilsung Kang
IEEE Access (2022) Vol. 10, pp. 46717-46724
Open Access | Times Cited: 62
Efficient surface defect detection using self-supervised learning strategy and segmentation network
Rongge Xu, Ruiyang Hao, Biqing Huang
Advanced Engineering Informatics (2022) Vol. 52, pp. 101566-101566
Closed Access | Times Cited: 61
Industrial internet of things and unsupervised deep learning enabled real-time occupational safety monitoring in cold storage warehouse
Xuegang Zhan, Wei Wu, Leidi Shen, et al.
Safety Science (2022) Vol. 152, pp. 105766-105766
Closed Access | Times Cited: 49
Delamination prediction in composite panels using unsupervised-feature learning methods with wavelet-enhanced guided wave representations
Mahindra Rautela, J. Senthilnath, Ernesto Monaco, et al.
Composite Structures (2022) Vol. 291, pp. 115579-115579
Open Access | Times Cited: 49
A Generative adversarial learning strategy for enhanced lightweight crack delineation networks
Futao Ni, Zhili He, Shang Jiang, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101575-101575
Closed Access | Times Cited: 46
UAV imagery based potential safety hazard evaluation for high-speed railroad using Real-time instance segmentation
Yunpeng Wu, Fanteng Meng, Yong Qin, et al.
Advanced Engineering Informatics (2022) Vol. 55, pp. 101819-101819
Closed Access | Times Cited: 43
Computer vision-based classification of concrete spall severity using metaheuristic-optimized Extreme Gradient Boosting Machine and Deep Convolutional Neural Network
Hieu Nguyen, Nhat‐Duc Hoang
Automation in Construction (2022) Vol. 140, pp. 104371-104371
Closed Access | Times Cited: 39
Review on automated quality inspection of precast concrete components
Zhiliang Ma, Yu Liu, Jiayi Li
Automation in Construction (2023) Vol. 150, pp. 104828-104828
Closed Access | Times Cited: 37
Anomaly Detection Method for Multivariate Time Series Data of Oil and Gas Stations Based on Digital Twin and MTAD-GAN
Yuanfeng Lian, Yueyao Geng, Tian Tian
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1891-1891
Open Access | Times Cited: 25
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