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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:

An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump
Shengnan Tang, Yong Zhu, Shouqi Yuan
Advanced Engineering Informatics (2021) Vol. 50, pp. 101406-101406
Closed Access | Times Cited: 145

Showing 1-25 of 145 citing articles:

Application of entropy production theory for energy losses and other investigation in pumps and turbines: A review
Ling Zhou, Jianwei Hang, Ling Bai, et al.
Applied Energy (2022) Vol. 318, pp. 119211-119211
Closed Access | Times Cited: 180
Intelligent fault diagnosis of hydraulic piston pump based on deep learning and Bayesian optimization
Shengnan Tang, Yong Zhu, Shouqi Yuan
ISA Transactions (2022) Vol. 129, pp. 555-563
Closed Access | Times Cited: 121
A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images
Shengnan Tang, Yong Zhu, Shouqi Yuan
Advanced Engineering Informatics (2022) Vol. 52, pp. 101554-101554
Closed Access | Times Cited: 118
Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform
Shengnan Tang, Yong Zhu, Shouqi Yuan
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108560-108560
Closed Access | Times Cited: 110
Acoustic signal-based fault detection of hydraulic piston pump using a particle swarm optimization enhancement CNN
Yong Zhu, Guangpeng Li, Shengnan Tang, et al.
Applied Acoustics (2022) Vol. 192, pp. 108718-108718
Closed Access | Times Cited: 87
Fault diagnosis of hydro-turbine via the incorporation of bayesian algorithm optimized CNN-LSTM neural network
Fang Dao, Yun Zeng, Jing Qian
Energy (2024) Vol. 290, pp. 130326-130326
Closed Access | Times Cited: 78
An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal
Shengnan Tang, Yong Zhu, Shouqi Yuan
Engineering Failure Analysis (2022) Vol. 138, pp. 106300-106300
Closed Access | Times Cited: 76
Rolling bearing fault diagnosis based on 2D time-frequency images and data augmentation technique
Wenlong Fu, Xiaohui Jiang, Bailin Li, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 4, pp. 045005-045005
Closed Access | Times Cited: 72
Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks
Minghang Zhao, Xuyun Fu, Yongjian Zhang, et al.
Advanced Engineering Informatics (2022) Vol. 51, pp. 101535-101535
Closed Access | Times Cited: 69
Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis
Xingxing Jiang, Xuegang Li, Qian Wang, et al.
Information Fusion (2023) Vol. 101, pp. 102005-102005
Closed Access | Times Cited: 50
Model-Assisted Multi-source Fusion Hypergraph Convolutional Neural Networks for intelligent few-shot fault diagnosis to Electro-Hydrostatic Actuator
Xiaoli Zhao, Xingjun Zhu, Jiahui Liu, et al.
Information Fusion (2023) Vol. 104, pp. 102186-102186
Closed Access | Times Cited: 43
A light deep adaptive framework toward fault diagnosis of a hydraulic piston pump
Shengnan Tang, Boo Cheong Khoo, Yong Zhu, et al.
Applied Acoustics (2024) Vol. 217, pp. 109807-109807
Closed Access | Times Cited: 27
Fault detection and diagnosis of marine diesel engines: A systematic review
Yaqiong Lv, Xueting Yang, Yifan Li, et al.
Ocean Engineering (2024) Vol. 294, pp. 116798-116798
Closed Access | Times Cited: 22
Fault diagnosis study of hydraulic pump based on improved symplectic geometry reconstruction data enhancement method
Siyuan Liu, Jixiong Yin, Ming Hao, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102459-102459
Closed Access | Times Cited: 19
A novel RSG-based intelligent bearing fault diagnosis method for motors in high-noise industrial environment
Pin Lyu, Kewei Zhang, Wenbing Yu, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101564-101564
Closed Access | Times Cited: 60
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates
Shen Yan, Haidong Shao, Yiming Xiao, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101648-101648
Closed Access | Times Cited: 40
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
Health evaluation of axial piston pumps based on density weighted support vector data description
Qun Chao, Yuechen Shao, Chengliang Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109354-109354
Closed Access | Times Cited: 30
Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment
Lijie Zhang, Bin Wang, Pengfei Liang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102211-102211
Closed Access | Times Cited: 27
Intelligent framework for degradation monitoring, defect identification and estimation of remaining useful life (RUL) of bearing
Anil Kumar, Chander Parkash, Hesheng Tang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102206-102206
Closed Access | Times Cited: 25
From predictive to energy-based maintenance paradigm: Achieving cleaner production through functional-productiveness
Marko Orošnjak, Nebojša Brkljač, Dragoljub Šević, et al.
Journal of Cleaner Production (2023) Vol. 408, pp. 137177-137177
Closed Access | Times Cited: 22
Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds
Ying Li, Lijie Zhang, Pengfei Liang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110363-110363
Closed Access | Times Cited: 13
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 network structure for industrial process fault diagnosis based on hyper feature extraction and stacked LSTM
Yanwei Ren, Ridong Zhang, Furong Gao
Chemical Engineering Science (2024) Vol. 287, pp. 119745-119745
Closed Access | Times Cited: 9
Estimation of soil moisture in drip-irrigated citrus orchards using multi-modal UAV remote sensing
Zongjun Wu, Ningbo Cui, Wenjiang Zhang, et al.
Agricultural Water Management (2024) Vol. 302, pp. 108972-108972
Open Access | Times Cited: 9
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