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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:

Knowledge addition for improving the transfer learning from the laboratory to identify defects of hydraulic machinery
Anil Kumar, Adam Głowacz, Hesheng Tang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106756-106756
Closed Access | Times Cited: 20

Showing 20 citing articles:

Multi-sensor fusion fault diagnosis method of wind turbine bearing based on adaptive convergent viewable neural networks
Xinming Li, Yanxue Wang, Jiachi Yao, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109980-109980
Closed Access | Times Cited: 33
Rolling bearing fault diagnosis based on multiple wavelet coefficient dimensionality reduction and improved residual network
Xiaoyang Zheng, Peixi Yang, Kai Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108087-108087
Closed Access | Times Cited: 7
Ensemble difference mode decomposition based on transmission path elimination technology for rotating machinery fault diagnosis
Jianchun Guo, Yi Liu, Ronggang Yang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111330-111330
Closed Access | Times Cited: 6
Double-level discriminative domain adaptation network for cross-domain fault diagnosis
Yufeng Li, Xinghan Xu, Lei Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Closed Access
A centroid contrastive multi-source domain adaptation method for fault diagnosis with category shift
Yufeng Li, Xinghan Xu, Lei Hu, et al.
Measurement (2025), pp. 116801-116801
Closed Access
Adaptive fault diagnosis of machining processes enabled by hybrid deep learning and incremental transfer learning
Yuchen Liang, Yuqi Wang, Weidong Li, et al.
Computers in Industry (2025) Vol. 167, pp. 104262-104262
Closed Access
Innovative Laboratory Learning: A Study Evaluating the Practicality of Integrated E-Worksheets with Augmented Reality in Electrical Machines Course

International Journal of Information and Education Technology (2024) Vol. 14, Iss. 7, pp. 996-1005
Open Access | Times Cited: 3
An adaptive few-shot fault diagnosis method based on virtual samples generated by fault characteristics of rotating machines
Peng Wu, Gongye Yu, Qianqian Yu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109017-109017
Closed Access | Times Cited: 3
Fault diagnosis of helicopter tail-drive system using a multi-grained hierarchical message graph convolutional networks
Junlin Zhou, Zhendong Long, Aijun Yin, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-20
Closed Access | Times Cited: 2
Uncertainty-Aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis
Jiaxin Ren, Jingcheng Wen, Zhibin Zhao, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 6, pp. 1317-1330
Closed Access | Times Cited: 2
Feature extraction method for ultrasonic pipeline defects based on fractional-order VMD
Minghui Wei, Qi Miao, LiXia Jiang
Nondestructive Testing And Evaluation (2024), pp. 1-20
Closed Access | Times Cited: 2
A novel feature dimensionality reduction method for gearbox fault diagnosis with HMSDE, DANCo-DDMA and KELM
Peng Huang, Yingkui Gu, Guangqi Qiu
Nonlinear Dynamics (2024) Vol. 112, Iss. 16, pp. 14071-14091
Open Access | Times Cited: 2
A Non-Metallic pipeline leak size recognition method based on CWT acoustic image transformation and CNN
Lijiang Song, Xiwang Cui, Xiaojuan Han, et al.
Applied Acoustics (2024) Vol. 225, pp. 110180-110180
Closed Access | Times Cited: 2
A Deep Transfer Learning Model for the Fault Diagnosis of Double Roller Bearing Using Scattergram Filter Bank 1
Mohsin Hassan Albdery, István Szabó
Vibration (2024) Vol. 7, Iss. 2, pp. 521-559
Open Access
Unsupervised Signal Anomaly Transformer method: Achieving bearing life anomaly detection without the need for failure samples
Ping Yu, Mengmeng Ping, Jialin Ma, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108940-108940
Closed Access
Towards Zero-Fault Sample Scenarios: A Cyclegan Variant for Enhanced Bearing Fault Data Generation and Diagnosis
Yannan Yu, Zhiping Liu, Lihua Tang, et al.
(2024)
Closed Access
Multi-scale neural network for accurate determination of the ash content of coal flotation concentrate using froth images
Xiaolin Yang, Kefei Zhang, Jesse Thé, et al.
Expert Systems with Applications (2024) Vol. 262, pp. 125614-125614
Closed Access
Polynomial Regression-Based Predictive Expert System for Enhancing Hydraulic Press Performance over a 5G Network
Denis Jankovič, Miha Pipan, Marko Šimić, et al.
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 12016-12016
Open Access
Operation Parameters Optimisation of a Machine Swarm Using Artificial Intelligence
Lin Zhong, Wei Rao, Xiaohang Zhang, et al.
Elektronika ir Elektrotechnika (2023) Vol. 29, Iss. 5, pp. 79-85
Open Access
Hyperparameters Automatically Optimizing Driven Fault Diagnosis Method for Complex Hydraulic System
Bo Wang, Baoping Cai, Xiangdi Kong, et al.
(2023)
Closed Access
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