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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 novel multi-scale convolution model based on multi-dilation rates and multi-attention mechanism for mechanical fault diagnosis
Caiyuan Chu, Yongxin Ge, Quan Qian, et al.
Digital Signal Processing (2021) Vol. 122, pp. 103355-103355
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application
Haixin Lv, Jinglong Chen, Tongyang Pan, et al.
Measurement (2022) Vol. 199, pp. 111594-111594
Closed Access | Times Cited: 148
Intelligent fault diagnosis of rolling bearings under varying operating conditions based on domain-adversarial neural network and attention mechanism
Hao Wu, Jimeng Li, Qingyu Zhang, et al.
ISA Transactions (2022) Vol. 130, pp. 477-489
Closed Access | Times Cited: 62
Lightweight Multiscale Convolutional Networks With Adaptive Pruning for Intelligent Fault Diagnosis of Train Bogie Bearings in Edge Computing Scenarios
Ao Ding, Yong Qin, Biao Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-13
Closed Access | Times Cited: 39
WSAFormer-DFFN: A model for rotating machinery fault diagnosis using 1D window-based multi-head self-attention and deep feature fusion network
Qingzhe Wei, Xincheng Tian, Long Cui, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106633-106633
Closed Access | Times Cited: 30
A two-stage domain alignment method for multi-source domain fault diagnosis
Wei Cao, Zong Meng, Dengyun Sun, et al.
Measurement (2023) Vol. 214, pp. 112818-112818
Closed Access | Times Cited: 22
A fault diagnosis for rolling bearing based on multilevel denoising method and improved deep residual network
Zhigang Feng, Shouqi Wang, Mingyue Yu
Digital Signal Processing (2023) Vol. 140, pp. 104106-104106
Closed Access | Times Cited: 21
Few-shot fault diagnosis of rolling bearing under variable working conditions based on ensemble meta-learning
Changchang Che, Huawei Wang, Minglan Xiong, et al.
Digital Signal Processing (2022) Vol. 131, pp. 103777-103777
Closed Access | Times Cited: 33
CFI-LFENet: Infusing cross-domain fusion image and lightweight feature enhanced network for fault diagnosis
Chao Lian, Yuliang Zhao, Jinliang Shao, et al.
Information Fusion (2023) Vol. 104, pp. 102162-102162
Closed Access | Times Cited: 19
Global contextual feature aggregation networks with multiscale attention mechanism for mechanical fault diagnosis under non-stationary conditions
Yadong Xu, Yuejian Chen, Hengcheng Zhang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 203, pp. 110724-110724
Closed Access | Times Cited: 17
Multi-sensor fusion rolling bearing intelligent fault diagnosis based on VMD and ultra-lightweight GoogLeNet in industrial environments
Shouqi Wang, Zhigang Feng
Digital Signal Processing (2023) Vol. 145, pp. 104306-104306
Closed Access | Times Cited: 15
Semi-supervised few-shot fault diagnosis driven by multi-head dynamic graph attention network under speed fluctuations
Li Jiang, Shuaiyu Wang, Tianao Zhang, et al.
Digital Signal Processing (2024) Vol. 151, pp. 104528-104528
Closed Access | Times Cited: 4
You can be more trustworthy: A feature fusion reinforcement network for credible anti-noise fault diagnosis
Yuan Wei, H. Peng, Mansong Rong, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103056-103056
Closed Access
Fault Diagnosis of Rolling Bearings Based on Adaptive Denoising Residual Network
Yiwen Chen, Xinggui Zeng, Haisheng Huang
Processes (2025) Vol. 13, Iss. 1, pp. 151-151
Open Access
A Novel Data Augmentation and Composite Multiscale Network for Mechanical Fault Diagnosis
Yuan Wei, Zhijun Xiao, Shulin Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 9
Efficient DCNN-LSTM Model for Fault Diagnosis of Raw Vibration Signals: Applications to Variable Speed Rotating Machines and Diverse Fault Depths Datasets
Muhammad Ahsan, Mostafa M. Salah
Symmetry (2023) Vol. 15, Iss. 7, pp. 1413-1413
Open Access | Times Cited: 7
A feature reconstruction and SAE model based diagnosis method for multiple mixed faults
Jing Yang, Jianwen Chen, Xuan Zhan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086130-086130
Open Access | Times Cited: 2
Dual Classifier-Discriminator Adversarial Networks for Open Set Fault Diagnosis of Train Bearings
He Ren, Jun Wang, Changqing Shen, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 18, pp. 22040-22050
Closed Access | Times Cited: 5
Intelligent Identification and Prediction Mineral Resources Deposit Based on Deep Learning
Le Gao, Kun Wang, Xin Zhang, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10269-10269
Open Access | Times Cited: 4
A Combination of Dilated Self-Attention Capsule Networks and Bidirectional Long- and Short-Term Memory Networks for Vibration Signal Denoising
Youming Wang, Gongqing Cao, Jiali Han
Machines (2022) Vol. 10, Iss. 10, pp. 840-840
Open Access | Times Cited: 7
Intelligent Identification and Prediction Mineral Resources Deposit Based on Deep Learning
Le Gao, Kun Wang, Xin Zhang, et al.
(2023)
Open Access | Times Cited: 3
Fault Diagnosis With Robustness and Lightweight Synergy Under Noisy Environment
Juan Tian, Gang Xie, Xiaohong Zhang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 16351-16362
Closed Access | Times Cited: 2
ECNN: Intelligent Fault Diagnosis Method Using Efficient Convolutional Neural Network
Chao Zhang, Qixuan Huang, Chaoyi Zhang, et al.
Actuators (2022) Vol. 11, Iss. 10, pp. 275-275
Open Access | Times Cited: 3
Accuracy evaluation of sports training actions based on grating ruler displacement sensor and joint recognition algorithm
Liang Li
Optical and Quantum Electronics (2024) Vol. 56, Iss. 4
Closed Access
Seqinfo-Sawgan-Gp: Adaptive Feature Extraction from Vibration Time Data Under Variable Rotating Speeds for Imbalanced Bearing Fault Diagnosis
Teng Wang, Zhi Chao Ong, Shin Yee Khoo, et al.
(2024)
Closed Access
Gait recognition using deep learning with handling defective data from multiple wearable sensors
Lipeng Qin, Ming Guo, Kun Zhou, et al.
Digital Signal Processing (2024) Vol. 154, pp. 104665-104665
Closed Access
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