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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 CNN model based on innovative expansion operation improving the fault diagnosis accuracy of drilling pump fluid end
Gang Li, Jiayao Hu, Daiwei Shan, et al.
Mechanical Systems and Signal Processing (2022) Vol. 187, pp. 109974-109974
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network
Xingkai Chen, Haidong Shao, Yiming Xiao, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110427-110427
Open Access | Times Cited: 149
A deep feature learning method for remaining useful life prediction of drilling pumps
Junyu Guo, Jia‐Lun Wan, Yan Yang, et al.
Energy (2023) Vol. 282, pp. 128442-128442
Closed Access | Times Cited: 54
A parallel deep neural network for intelligent fault diagnosis of drilling pumps
Junyu Guo, Yulai Yang, He Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108071-108071
Open Access | Times Cited: 43
A pruned-optimized weighted graph convolutional network for axial flow pump fault diagnosis with hydrophone signals
Xin Zhang, Li Jiang, Lei Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102365-102365
Closed Access | Times Cited: 18
Multiple-signal defect identification of hydraulic pump using an adaptive normalized model and S transform
Yong Zhu, Shengnan Tang, Shouqi Yuan
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106548-106548
Closed Access | Times Cited: 39
A hybrid deep learning model towards fault diagnosis of drilling pump
Junyu Guo, Yulai Yang, He Li, et al.
Applied Energy (2024) Vol. 372, pp. 123773-123773
Open Access | Times Cited: 12
A novel method for fault diagnosis of fluid end of drilling pump under complex working conditions
Gang Li, Jiayao Hu, Yaping Ding, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110145-110145
Closed Access | Times Cited: 10
Data-Driven Approach to Weld Defect Evaluation Using Convolutional Neural Network and Ultrasonic B-Scan Images
Yongtak Kim, Hyosung Lee, Jae‐Won Jang, et al.
(2025)
Closed Access
Joint distribution Bures–Wasserstein distance based multi-source student teacher network for rotating machinery fault diagnosis
Fucheng Yan, Liang Yu, Ran Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112366-112366
Closed Access
Dual-source gramian angular field method and its application on fault diagnosis of drilling pump fluid end
Gang Li, Jiaxing Ao, Jiayao Hu, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121521-121521
Closed Access | Times Cited: 14
Triplet adversarial Learning-driven graph architecture search network augmented with Probsparse-attention mechanism for fault diagnosis under Few-shot & Domain-shift
Yuanhong Chang, Jinglong Chen, Weiguang Zheng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110462-110462
Closed Access | Times Cited: 13
Fault Diagnosis Model via Vibration Signal Analysis With an Improved BKA‐VMD and CNN‐TELM Hybrid Framework
Jingzong Yang, Xuefeng Li, Min Mao
Energy Science & Engineering (2025)
Open Access
Fault diagnosis method based on multimodal-deep tensor projection network under variable working conditions
Li Zhi, Chenyu Liu, Wenjing Huang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112336-112336
Closed Access
Cloud-based AIoT intelligent infrastructure for firefighting pump fault diagnosis-based hybrid CNN-GRU deep learning technique
D. T. Nguyen, Phuong Nguyen Thanh, Ming-Yuan Cho
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
Radon transform based malware classification in cyber-physical system using deep learning
Rasim Alguliyev, Ramiz M. Aliguliyev, Lyudmila Sukhostat
Results in Control and Optimization (2024) Vol. 14, pp. 100382-100382
Open Access | Times Cited: 3
A temperature-decoupled impedance-based mass sensing using CBAM-CNN and adaptive weighted average preprocessing with high accuracy
Yunan Yan, Zhikang Liu, Jiawen Xu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 213, pp. 111347-111347
Closed Access | Times Cited: 3
Measuring solid particles in sand-carrying gas flow using multiscale vibration response statistics and deep learning algorithms
Kai Wang, Ziang Chang, Jiaqi Tian, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111103-111103
Closed Access | Times Cited: 2
A lightweight dynamic dual-damped wavelet-based convolutional neural network for interpretable bearing fault diagnosis
Lijuan Zhao, Yongfang Mao, Yi Qin
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086115-086115
Open Access | Times Cited: 2
Physics-driven feature alignment combined with dynamic distribution adaptation for three-cylinder drilling pump cross-speed fault diagnosis
Menghang Dai, Zhiliang Liu, Jinrui Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110369-110369
Closed Access | Times Cited: 2
Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments
Yan Zhang, Changqing Shen, Xingli Zhong, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102715-102715
Closed Access | Times Cited: 2
A Fault Diagnosis Method for Electric Check Valve Based on ResNet-ELM with Adaptive Focal Loss
Weijia Xiang, Yunru Wu, Peng Cheng, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3426-3426
Open Access | Times Cited: 2
A Fault Diagnosis Method for Drilling Pump Fluid Ends Based on Time–Frequency Transforms
Aimin Tang, Wu Zhao
Processes (2023) Vol. 11, Iss. 7, pp. 1996-1996
Open Access | Times Cited: 6
Fault diagnosis of power-shift system in continuously variable transmission tractors based on improved echo state network
Guangming Wang, Lijun Xue, Youfeng Zhu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106852-106852
Closed Access | Times Cited: 6
Fault Classification of Rolling Bearings Based on Multi-Source Heterogeneous Data
Cheng Peng, Hongri Xiao, Weihua Gui, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 24189-24199
Closed Access | Times Cited: 1
Fault diagnosis method of forging press based on improved CNN
Chao Yuan, Yunhan Ling, Nan Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 181925-181936
Open Access | Times Cited: 1
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