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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:

A Lightweight Deep Learning-Based Approach for Concrete Crack Characterization Using Acoustic Emission Signals
Md Arafat Habib, Md Junayed Hasan, Jong-Myon Kim
IEEE Access (2021) Vol. 9, pp. 104029-104050
Open Access | Times Cited: 16

Showing 16 citing articles:

Binocular Video-Based Automatic Pixel-Level Crack Detection and Quantification Using Deep Convolutional Neural Networks for Concrete Structures
Li Liu, Bo Shen, Shuchen Huang, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 258-258
Open Access
Attention-Based DenseNet for Lung Cancer Classification Using CT Scan and Histopathological Images
Jia Uddin
Designs (2024) Vol. 8, Iss. 2, pp. 27-27
Open Access | Times Cited: 4
Enhancing Acoustic Emission Driven Smart Gas-Pipeline Monitoring with Graph Neural Network
Murshedul Arifeen, Md Junayed Hasan, Ali Rohan, et al.
Springer series in advanced manufacturing (2025), pp. 165-178
Closed Access
Multi-volume variable scale bitmap data object classification algorithm architectural concrete color difference detection
Gang Yao, Wentong Sun, Yang Yang, et al.
Journal of Intelligent Construction (2023) Vol. 1, Iss. 2, pp. 9180010-9180010
Open Access | Times Cited: 9
Progress of MEMS acoustic emission sensor: a review
Junhui Zhang, Sai Zhang, Yuhua Yang, et al.
Sensor Review (2024) Vol. 44, Iss. 4, pp. 414-428
Closed Access | Times Cited: 1
Visualization analysis of concrete crack detection in civil engineering infrastructure based on knowledge graph
Wei Chen, Jia Hou, Yanhua Wang, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03711-e03711
Open Access | Times Cited: 1
SRCAE-STCBiGRU: a fused deep learning model for remaining useful life prediction of rolling bearings
Linfeng Deng, Xinhui Yan, Wei Li
Signal Image and Video Processing (2024)
Closed Access | Times Cited: 1
Reinforcement Learning Based Mobile Underwater Localization for Silent UUV in Underwater Acoustic Sensor Networks
Ruiheng Liao, Wei Su, Xiurong Wu, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 3
CSDANet: a new lightweight fault diagnosis framework towards heavy noise and small samples
Zhao Xu, Zhiyang Jia, YiWei Wei, et al.
Cluster Computing (2024) Vol. 27, Iss. 7, pp. 9615-9634
Closed Access
Machine learning-based improvement of crack localization in concrete structures
Omair Inderyas, Sena Tayfur, A. Yigit Kaya, et al.
e-Journal of Nondestructive Testing (2024) Vol. 29, Iss. 7
Open Access
Deep‐Learning‐Based Crack Identification and Quantification for Wooden Components in Ancient Chinese Timber Structures
Lipeng Zhang, Qifang Xie, Hanlong Wang, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access
A novel scheme of condition monitoring and fault recognition based on time-shift multi-scale weighted slope entropy for rolling bearings under variable speed conditions
Zhe Li, Runlin Chen, Longlong Li, et al.
Nonlinear Dynamics (2024)
Closed Access
Graph-Variational Convolutional Autoencoder-Based Fault Detection and Diagnosis for Photovoltaic Arrays
Murshedul Arifeen, Andrei Petrovski, Md Junayed Hasan, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 894-894
Open Access
Exponential Degradation Model Based Remaining Life Prediction for Tools of Milling Machine
Murshedul Arifeen, Andrei Petrovski, Md Junayed Hasan, et al.
Lecture notes in networks and systems (2024), pp. 355-365
Closed Access
Hybrid Deep Neural Network with CNN and RNN alongside 1st order B-spline Differential-Based Methodology for Real Time Fatigue Crack Growth Rate Monitoring Using Only AE Sensors
Deepak Kumar Joshi, Sudarshan Yadao, Pabitra Das, et al.
2017 IEEE International Ultrasonics Symposium (IUS) (2023), pp. 1-4
Closed Access
Crack Detection of Concrete Structures Using Acoustic Emission Sensors and Convolutional Neural Networks
Van Vy, Yun-Woo Lee, Hyungchul Yoon
Lecture notes in civil engineering (2023), pp. 1306-1314
Closed Access
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