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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:

Rolling bearing fault diagnosis using optimal ensemble deep transfer network
Xingqiu Li, Hongkai Jiang, Ruixin Wang, et al.
Knowledge-Based Systems (2020) Vol. 213, pp. 106695-106695
Closed Access | Times Cited: 134

Showing 26-50 of 134 citing articles:

Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions
Xue‐Gang Li, Xingxing Jiang, Qian Wang, et al.
Knowledge-Based Systems (2022) Vol. 243, pp. 108443-108443
Closed Access | Times Cited: 38
A deep reinforcement transfer convolutional neural network for rolling bearing fault diagnosis
Zhenghong Wu, Hongkai Jiang, Shaowei Liu, et al.
ISA Transactions (2022) Vol. 129, pp. 505-524
Closed Access | Times Cited: 37
A domain adaptation method for bearing fault diagnosis using multiple incomplete source data
Qibin Wang, Yuanbing Xu, Shengkang Yang, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 2, pp. 777-791
Closed Access | Times Cited: 27
Attention-based Gate Recurrent Unit for remaining useful life prediction in prognostics
Ruiguan Lin, Huawei Wang, Minglan Xiong, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110419-110419
Closed Access | Times Cited: 24
A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data
Jinghui Tian, Dongying Han, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 173, pp. 106167-106167
Closed Access | Times Cited: 7
Fault Diagnosis Methods Based on Machine Learning and its Applications for Wind Turbines: A Review
Tongda Sun, Gang Yu, Mang Gao, et al.
IEEE Access (2021) Vol. 9, pp. 147481-147511
Open Access | Times Cited: 54
Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images
Haidong Shao, Wei Li, Min Xia, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 52
A unified framework incorporating predictive generative denoising autoencoder and deep Coral network for rolling bearing fault diagnosis with unbalanced data
Xingqiu Li, Hongkai Jiang, Shaowei Liu, et al.
Measurement (2021) Vol. 178, pp. 109345-109345
Closed Access | Times Cited: 46
Deep transfer learning for conditional shift in regression
Xu Liu, Yingguang Li, Qinglu Meng, et al.
Knowledge-Based Systems (2021) Vol. 227, pp. 107216-107216
Closed Access | Times Cited: 43
A fault diagnosis method for wind turbines with limited labeled data based on balanced joint adaptive network
Guangyao Zhang, Yanting Li, Wenbo Jiang, et al.
Neurocomputing (2022) Vol. 481, pp. 133-153
Closed Access | Times Cited: 34
Cross-attention-based multi-sensing signals fusion for penetration state monitoring during laser welding of aluminum alloy
Longchao Cao, Jingchang Li, Libin Zhang, et al.
Knowledge-Based Systems (2022) Vol. 261, pp. 110212-110212
Closed Access | Times Cited: 30
Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis
Xufeng Huang, Tingli Xie, Shuyang Luo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108212-108212
Closed Access | Times Cited: 6
A robust bearing fault diagnosis method based on ensemble learning with adaptive weight selection
Guanghua Fu, X.Z. Wang, Yonghui Liu, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126420-126420
Closed Access
A survey on machine learning approaches for uncertainty quantification of engineering systems
Yan Shi, Pengfei Wei, Ke Feng, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Open Access
CycleGAN denoising of recurrence plots of rolling bearing vibration signals for improved fault classification
Thomas Joseph, U. Sudeep, K. Keerthi Krishnan
Journal of Mechanical Science and Technology (2025)
Closed Access
Dynamic Domain Adaptive Ensemble for Intelligent Fault Diagnosis of Machinery
Kui Hu, Qingbo He, Hao Xu, et al.
Knowledge-Based Systems (2025), pp. 113209-113209
Closed Access
Self-attention-based adaptive remaining useful life prediction for IGBT with Monte Carlo dropout
Dengyu Xiao, Chengjin Qin, Jianwen Ge, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107902-107902
Closed Access | Times Cited: 38
An intelligent fault diagnosis method for rolling bearings based on feature transfer with improved DenseNet and joint distribution adaptation
Chenhui Qian, Quan Jiang, Yehu Shen, et al.
Measurement Science and Technology (2021) Vol. 33, Iss. 2, pp. 025101-025101
Closed Access | Times Cited: 34
Transfer-learning-based bearing fault diagnosis between different machines: A multi-level adaptation network based on layered decoding and attention mechanism
Shaoke Wan, Jinyu Liu, Xiaohu Li, et al.
Measurement (2022) Vol. 203, pp. 111996-111996
Closed Access | Times Cited: 26
A novel deep transfer learning method with inter-domain decision discrepancy minimization for intelligent fault diagnosis
Zhiheng Su, Jiyang Zhang, Jianxiong Tang, et al.
Knowledge-Based Systems (2022) Vol. 259, pp. 110065-110065
Closed Access | Times Cited: 24
Industrial fault diagnosis based on diverse variable weighted ensemble learning
Chuanxia Jian, Yinhui Ao
Journal of Manufacturing Systems (2022) Vol. 62, pp. 718-735
Closed Access | Times Cited: 23
Task-incremental broad learning system for multi-component intelligent fault diagnosis of machinery
Yang Fu, Hongrui Cao, Xuefeng Chen, et al.
Knowledge-Based Systems (2022) Vol. 246, pp. 108730-108730
Closed Access | Times Cited: 23
Multi-expert Attention Network with Unsupervised Aggregation for long-tailed fault diagnosis under speed variation
Zhuohang Chen, Jinglong Chen, Zongliang Xie, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109393-109393
Closed Access | Times Cited: 22
A Real-Time Bearing Fault Diagnosis Model Based on Siamese Convolutional Autoencoder in Industrial Internet of Things
Hexuan Hu, Chengcheng Cao, Qiang Hu, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 3, pp. 3820-3831
Closed Access | Times Cited: 14
Fourier Feature Refiner Network With Soft Thresholding for Machinery Fault Diagnosis Under Highly Noisy Conditions
Huan Wang, Wenjun Luo, Zhiliang Liu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22880-22891
Closed Access | Times Cited: 4

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