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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 Fault Diagnosis Method Based on SWT and VGG-LSTM Model for Hydraulic Axial Piston Pump
Yong Zhu, Hong Su, Shengnan Tang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 3, pp. 594-594
Open Access | Times Cited: 20

Showing 20 citing articles:

Convolutional Neural Networks: A Survey
Moez Krichen
Computers (2023) Vol. 12, Iss. 8, pp. 151-151
Open Access | Times Cited: 245
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: 38
Temporal-Spatial Attention Network: A Novel Axial Piston Pump Coupled Fault Diagnosis Method
S. B. Liu, Junhui Zhang, Weidi Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 5
A fault identification method of hydraulic pump fusing long short-term memory and synchronous compression wavelet transform
Shengnan Tang, Yixuan Jiang, Hong Su, et al.
Applied Acoustics (2025) Vol. 232, pp. 110553-110553
Closed Access
Bayesian algorithm optimized deep model for multi-signal fault identification of hydraulic pumps
Shengnan Tang, Yixuan Jiang, Tao Zhou, et al.
Alexandria Engineering Journal (2025) Vol. 121, pp. 465-483
Closed Access
Intelligent Fault Diagnosis Methods for Hydraulic Piston Pumps: A Review
Yong Zhu, Qingyi Wu, Shengnan Tang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 8, pp. 1609-1609
Open Access | Times Cited: 13
Adversarial training of multi-scale channel attention network for enhanced robustness in bearing fault diagnosis
Haotian Peng, Jinsong Du, Jie Gao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056204-056204
Closed Access | Times Cited: 3
A 2D VMD video image processing-based transfer learning approach for the detection and estimation of biofouling in tidal stream turbines
Houssem Habbouche, Haroon Rashid, Yassine Amirat, et al.
Ocean Engineering (2024) Vol. 312, pp. 119283-119283
Open Access | Times Cited: 2
A novel fault diagnosis method based on nonlinear-CWT and improved YOLOv8 for axial piston pump using output pressure signal
Shiqi Xia, Weidi Huang, Jie Zhang
Advanced Engineering Informatics (2024) Vol. 64, pp. 103041-103041
Closed Access | Times Cited: 2
A Data-Driven Diagnosis Scheme Based on Deep Learning toward Fault Identification of the Hydraulic Piston Pump
Yong Zhu, Tao Zhou, Shengnan Tang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 7, pp. 1273-1273
Open Access | Times Cited: 7
Domain adversarial transfer fault diagnosis method of an axial piston pump based on a multi-scale attention mechanism
Zhikui Dong, Huijiang An, Siyuan Liu, et al.
Measurement (2024) Vol. 239, pp. 115455-115455
Open Access | Times Cited: 2
Anomaly Detection of Axial Piston Pump Based on the DTW-RCK-IF Composite Method Using Pressure Signals
Wanlu Jiang, L. L. Ma, Peiyao Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13133-13133
Open Access | Times Cited: 5
A New Cross-Domain Motor Fault Diagnosis Method Based on Bimodal Inputs
Qianming Shang, Tianyao Jin, Mingsheng Chen
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1304-1304
Open Access | Times Cited: 1
A Hydraulic Axial Piston Pump Fault Diagnosis Based on Instantaneous Angular Speed under Non-Stationary Conditions
Liu Jiamin, Shuai Meng, Xintao Zhou, et al.
Lubricants (2023) Vol. 11, Iss. 9, pp. 406-406
Open Access | Times Cited: 4
Digital Twin and Virtual Reality: A Co-simulation Environment for an Educational Hydraulic Workstation
Fănică-Valeriu Hrib, Andrei-Iulian Iancu, Constantin-Cătălin Dosoftei
(2024), pp. 42-47
Closed Access
A New Method of Intelligent Fault Diagnosis of Ship Dual-Fuel Engine Based on Instantaneous Rotational Speed
Ji Gan, Huabiao Jin, Qianming Shang, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 11, pp. 2046-2046
Open Access
The Intelligent Diagnosis of a Hydraulic Plunger Pump Based on the MIGLCC-DLSTM Method Using Sound Signals
L. L. Ma, Anqi Jiang, Wanlu Jiang
Machines (2024) Vol. 12, Iss. 12, pp. 869-869
Open Access
Intelligent Fault Diagnosis of Hydraulic Systems based on Multi-Sensor Fusion and Deep Learning
Ruosong Jiang, Zhaohui Yuan, Honghui Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access
Study on an Intelligent English Translation Method Using an Improved Convolutional Neural Network Model
Lianzheng Su
International Journal of e-Collaboration (2024) Vol. 20, Iss. 1, pp. 1-14
Open Access
Research on Hydraulic System Fault Diagnosis Method Based on Machine Learning
Q. Liu, Ming Li
Engineering Research Express (2024) Vol. 7, Iss. 1, pp. 015401-015401
Closed Access
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