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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.

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Showing 51-75 of 139 citing articles:

A robust construction of normalized CNN for online intelligent condition monitoring of rolling bearings considering variable working conditions and sources
Bo Zhao, Xianmin Zhang, Zhenhui Zhan, et al.
Measurement (2021) Vol. 174, pp. 108973-108973
Closed Access | Times Cited: 29
An Enhanced Multifeature Fusion Method for Rotating Component Fault Diagnosis in Different Working Conditions
Jianguo Miao, Jianyu Wang, Qiang Miao
IEEE Transactions on Reliability (2021) Vol. 70, Iss. 4, pp. 1611-1620
Open Access | Times Cited: 29
Fault diagnosis of a rolling bearing based on the wavelet packet transform and a deep residual network with lightweight multi-branch structure
Shoucong Xiong, Hongdi Zhou, Shuai He, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 8, pp. 085106-085106
Closed Access | Times Cited: 27
Toward Small Sample Challenge in Intelligent Fault Diagnosis: Attention-Weighted Multidepth Feature Fusion Net With Signals Augmentation
Tianci Zhang, Shuilong He, Jinglong Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-13
Closed Access | Times Cited: 27
Causal Consistency Network: A Collaborative Multimachine Generalization Method for Bearing Fault Diagnosis
Jie Li, Yu Wang, Yanyang Zi, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 4, pp. 5915-5924
Closed Access | Times Cited: 21
An unsupervised transfer learning bearing fault diagnosis method based on depthwise separable convolution
Xueyi Li, Peng Yuan, Xiangkai Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 095401-095401
Closed Access | Times Cited: 10
Anomaly detection method based on the deep knowledge behind behavior patterns in industrial components. Application to a hydropower plant
Pablo Calvo-Bascones, Miguel Á. Sanz-Bobi, Thomas Michael Welte
Computers in Industry (2020) Vol. 125, pp. 103376-103376
Closed Access | Times Cited: 27
Joint adaptive transfer learning network for cross-domain fault diagnosis based on multi-layer feature fusion
Yimin Jiang, Tangbin Xia, Dong Wang, et al.
Neurocomputing (2021) Vol. 487, pp. 228-242
Closed Access | Times Cited: 24
Gas path fault diagnosis of aircraft engine using HELM and transfer learning
Junqiang Liu
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105149-105149
Closed Access | Times Cited: 18
Collaborative and adversarial deep transfer auto-encoder for intelligent fault diagnosis
Yulin Ma, Jun Yang, Lei Li
Neurocomputing (2022) Vol. 486, pp. 1-15
Closed Access | Times Cited: 16
Deep Adversarial Hybrid Domain-Adaptation Network for Varying Working Conditions Fault Diagnosis of High-Speed Train Bogie
Buyao Yang, Tiantian Wang, Jingsong Xie, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 10
An Intelligent Fault Detection Framework for FW-UAV Based on Hybrid Deep Domain Adaptation Networks and the Hampel Filter
Yizong Zhang, Shaobo Li, Qiuchen He, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 10
Rotation Error Prediction of CNC Spindle Based on Short-Time Fourier Transform of Vibration Sensor Signals and Improved Weighted Residual Network
Song Lin, Jianying Tan
Sensors (2024) Vol. 24, Iss. 13, pp. 4244-4244
Open Access | Times Cited: 3
An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network
Xiaoqiang Zhao, Yazhou Zhang
Measurement Science and Technology (2022) Vol. 33, Iss. 8, pp. 085103-085103
Closed Access | Times Cited: 15
Optimal Transport-Based Multisource Student Teacher Learning Network for Bearing Fault Diagnosis Under Variable Working Conditions
Changqing Shen, Yu Xia, Xingxing Jiang, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 16, pp. 16392-16401
Closed Access | Times Cited: 15
Siamese multiscale residual feature fusion network for aero-engine bearing fault diagnosis under small-sample condition
Zhaoguo Hou, Huawei Wang, Shaolan Lv, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 3, pp. 035109-035109
Closed Access | Times Cited: 14
Cross-Domain Open-Set Fault Diagnosis Based on Target Domain Slanted Adversarial Network for Rotating Machinery
Zuqiang Su, Weilong Jiang, Yang Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 8
A novel voting convergent difference neural network for diagnosing breast cancer
Zhijun Zhang, Bozhao Chen, Songqing Xu, et al.
Neurocomputing (2021) Vol. 437, pp. 339-350
Closed Access | Times Cited: 18
Multisensory collaborative damage diagnosis of a 10 MW floating offshore wind turbine tendons using multi-scale convolutional neural network with attention mechanism
Zifei Xu, Musa Bashir, Yang Yang, et al.
Renewable Energy (2022) Vol. 199, pp. 21-34
Open Access | Times Cited: 13
Deep meta-learning and variational autoencoder for coupling fault diagnosis of rolling bearing under variable working conditions
Changchang Che, Huawei Wang, Ruiguan Lin, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022) Vol. 236, Iss. 17, pp. 9900-9913
Closed Access | Times Cited: 12
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
Intelligent Fault Diagnosis Method of Rolling Bearings Based on Transfer Residual Swin Transformer with Shifted Windows
Haomiao Wang, Jinxi Wang, Qingmei Sui, et al.
Structural durability & health monitoring (2024) Vol. 18, Iss. 2, pp. 91-110
Open Access | Times Cited: 2
Effects of various information scenarios on layer-wise relevance propagation-based interpretable convolutional neural networks for air handling unit fault diagnosis
Chenglong Xiong, Guannan Li, Ying Yan, et al.
Building Simulation (2024) Vol. 17, Iss. 10, pp. 1709-1730
Closed Access | Times Cited: 2
A source free robust domain adaptation approach with pseudo-labels uncertainty estimation for rolling bearing fault diagnosis under limited sample conditions
Ruiqi Liu, Wengang Ma, Feipeng Kuang, et al.
Knowledge-Based Systems (2024) Vol. 304, pp. 112443-112443
Closed Access | Times Cited: 2
Interpretability assessment of convolutional neural network-based fault diagnosis for air handling units working in three seasons
Chenglong Xiong, Hu Yunpeng, Guannan Li, et al.
Energy and Buildings (2024), pp. 114876-114876
Closed Access | Times Cited: 2

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