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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:

1D-TICapsNet: An audio signal processing algorithm for bolt early looseness detection
Furui Wang, Gangbing Song
Structural Health Monitoring (2020) Vol. 20, Iss. 5, pp. 2828-2839
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A novel intelligent inspection robot with deep stereo vision for three-dimensional concrete damage detection and quantification
Cheng Yuan, Bing Xiong, Xiuquan Li, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 3, pp. 788-802
Closed Access | Times Cited: 57
EMI-GCN: a hybrid model for real-time monitoring of multiple bolt looseness using electromechanical impedance and graph convolutional networks
Lu Zhou, Si‐Xin Chen, Yi‐Qing Ni, et al.
Smart Materials and Structures (2021) Vol. 30, Iss. 3, pp. 035032-035032
Open Access | Times Cited: 56
Data-driven machine learning for pattern recognition and detection of loosening torque in bolted joints
Jefferson da Silva Coelho, Marcela Machado, Maciej Dutkiewicz, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 2
Open Access | Times Cited: 9
Intelligent monitoring and assessment on early-age hydration and setting of cement mortar through an EMI-integrated neural network
Qixiang Yan, Xiaolong Liao, Chuan Zhang, et al.
Measurement (2022) Vol. 203, pp. 111984-111984
Closed Access | Times Cited: 36
Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies
Nikesh Chelimilla, Viswanath Chinthapenta, Naresh Kali, et al.
Structural Health Monitoring (2023) Vol. 22, Iss. 6, pp. 4264-4304
Closed Access | Times Cited: 21
ResNet-integrated very early bolt looseness monitoring based on intrinsic feature extraction of percussion sounds
Rui Yuan, Yong Lv, Shijie Xu, et al.
Smart Materials and Structures (2023) Vol. 32, Iss. 3, pp. 034002-034002
Closed Access | Times Cited: 18
Detection and diagnosis of concrete void defect using percussion-based method combined with convolutional neural network
Qixiang Yan, Yifeng Zhang, Xiaolong Liao, et al.
Measurement (2024) Vol. 231, pp. 114585-114585
Closed Access | Times Cited: 7
Bolted lap joint loosening monitoring and damage identification based on acoustic emission and machine learning
Xiao Wang, Qingrui Yue, Xiaogang Liu
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111690-111690
Closed Access | Times Cited: 6
Temperature compensation to guided wave-based monitoring of bolt loosening using an attention-based multi-task network
Fei Du, Shiwei Wu, Sisi Xing, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 3, pp. 1893-1910
Open Access | Times Cited: 26
Detection of the pipeline elbow erosion by percussion and deep learning
Jian Chen, Lan Cao, Gangbing Song
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110546-110546
Closed Access | Times Cited: 15
An innovative deep neural network coordinating with percussion-based technique for automatic detection of concrete cavity defects
Xiaolong Liao, Qixiang Yan, Yifeng Zhang, et al.
Construction and Building Materials (2023) Vol. 400, pp. 132700-132700
Closed Access | Times Cited: 15
Early bolt looseness monitoring using the leading waves energy in piezoelectric active sensing
Tao Wang, Wang Hu, Dan Yang, et al.
Smart Materials and Structures (2024) Vol. 33, Iss. 3, pp. 035033-035033
Open Access | Times Cited: 5
Nondestructive detection of fiber content in steel fiber reinforced concrete through percussion method coordinated with a hybrid deep learning network
Chuan Zhang, Qixiang Yan, Yifeng Zhang, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108857-108857
Closed Access | Times Cited: 4
Automatic Water Seepage Depth Detection in Concrete Structures Using Percussion Method Combined With Deep Learning Network
Wenjie Huang, Kai Zhou, Jicheng Zhang, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Zero-shot pipeline fault detection using percussion method and multi-attribute learning model
Longguang Peng, Wenjie Huang, Jicheng Zhang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112427-112427
Closed Access
An Improved Prototype Network and Data Augmentation Algorithm for Few-Shot Structural Health Monitoring Using Guided Waves
Fei Du, Shiwei Wu, Zhenxiong Tian, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8714-8726
Closed Access | Times Cited: 12
Time-frequency fusion features-based incremental network for smartphone measured structural seismic response classification
Yang Zhang, Ka‐Veng Yuen
Engineering Structures (2023) Vol. 278, pp. 115575-115575
Closed Access | Times Cited: 11
Underwater bolted flange looseness detection using percussion-induced sound and Feature-reduced Multi-ROCKET model
Jian Chen, Zheng Chen, Weihang Zhu, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 495-511
Closed Access | Times Cited: 11
Study on bolt preload measurement: An error compensation model for ultrasonic detection based on solid coupling
Bo Yuan, Wei Sun, Yingquan Wang, et al.
Measurement (2023) Vol. 221, pp. 113484-113484
Closed Access | Times Cited: 10
An efficient robotic-assisted bolt-ball joint looseness monitoring approach using CBAM-enhanced lightweight ResNet
Li Li, Rui Yuan, Yong Lv, et al.
Smart Materials and Structures (2023) Vol. 32, Iss. 12, pp. 125008-125008
Closed Access | Times Cited: 9
Research on percussion-based bolt looseness monitoring under noise interference and insufficient samples
Pengtao Liu, Xiaopeng Wang, Yongquan Wang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111013-111013
Closed Access | Times Cited: 9
Addressing data scarcity using audio signal augmentation and deep learning for bolt looseness prediction
Nikesh Chelimilla, Viswanath Chinthapenta, Srikanth Korla
Smart Materials and Structures (2024) Vol. 33, Iss. 8, pp. 085012-085012
Closed Access | Times Cited: 3
Multi-Bolt looseness detection using a new acoustic emission strategy
Furui Wang
Structural Health Monitoring (2022) Vol. 22, Iss. 3, pp. 1543-1553
Closed Access | Times Cited: 15
A Novel Multivariate Cutting Force-Based Tool Wear Monitoring Method Using One-Dimensional Convolutional Neural Network
Yang Xu, Rui Yuan, Yong Lv, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8343-8343
Open Access | Times Cited: 15
Research on a percussion-based bolt looseness identification method based on phase feature and convolutional neural network
Pengtao Liu, Xiaopeng Wang, Tianning Chen, et al.
Smart Materials and Structures (2023) Vol. 32, Iss. 3, pp. 035010-035010
Closed Access | Times Cited: 8
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