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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:

Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data
Zenghui An, Xingxing Jiang, Jing Cao, et al.
Knowledge-Based Systems (2021) Vol. 230, pp. 107374-107374
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis
Jinrui Wang, Zongzhen Zhang, Zhiliang Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109152-109152
Closed Access | Times Cited: 82
Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions
Xiaoan Yan, Daoming She, Yadong Xu
Expert Systems with Applications (2022) Vol. 216, pp. 119479-119479
Closed Access | Times Cited: 68
A novel entropy-based sparsity measure for prognosis of bearing defects and development of a sparsogram to select sensitive filtering band of an axial piston pump
Yuqing Zhou, Anil Kumar, Chander Parkash, et al.
Measurement (2022) Vol. 203, pp. 111997-111997
Closed Access | Times Cited: 67
A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
Mehdi Saman Azari, Francesco Flammini, Stefania Santini, et al.
IEEE Access (2023) Vol. 11, pp. 12887-12910
Open Access | Times Cited: 42
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 30
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
Transformer-based meta learning method for bearing fault identification under multiple small sample conditions
Xianze Li, Hao Su, Ling Xiang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 110967-110967
Closed Access | Times Cited: 25
Spatio-Temporal Feature Alignment Transfer Learning for Cross-Turbine Blade Icing Detection of Wind Turbines
Ruxu Yue, Guoqian Jiang, Xiaohang Jin, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-17
Closed Access | Times Cited: 9
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Zhuohang Chen, Jinglong Chen, Yong Feng, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110008-110008
Closed Access | Times Cited: 35
Rolling bearing prognostic analysis for domain adaptation under different operating conditions
Maan Singh Rathore, S. P. Harsha
Engineering Failure Analysis (2022) Vol. 139, pp. 106414-106414
Closed Access | Times Cited: 30
Early intelligent fault diagnosis of rotating machinery based on IWOA-VMD and DMKELM
Zhenzhen Jin, Deqiang He, Zhenpeng Lao, et al.
Nonlinear Dynamics (2022) Vol. 111, Iss. 6, pp. 5287-5306
Closed Access | Times Cited: 29
A multi-module generative adversarial network augmented with adaptive decoupling strategy for intelligent fault diagnosis of machines with small sample
Kaiyu Zhang, Qiang Chen, Jinglong Chen, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107980-107980
Closed Access | Times Cited: 35
Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery
Xiao Zhang, Jinrui Wang, Sixiang Jia, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-14
Closed Access | Times Cited: 27
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
Residual shrinkage transformer relation network for intelligent fault detection of industrial robot with zero-fault samples
Zuoyi Chen, Ke Wu, Jun Wu, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110452-110452
Closed Access | Times Cited: 15
A comprehensive survey on applications of AI technologies to failure analysis of industrial systems
Siguo Bi, Cong Wang, Bochun Wu, et al.
Engineering Failure Analysis (2023) Vol. 148, pp. 107172-107172
Closed Access | Times Cited: 14
Triplet adversarial Learning-driven graph architecture search network augmented with Probsparse-attention mechanism for fault diagnosis under Few-shot & Domain-shift
Yuanhong Chang, Jinglong Chen, Weiguang Zheng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110462-110462
Closed Access | Times Cited: 13
A novel hybrid distance guided domain adversarial method for cross domain fault diagnosis of gearbox
Xingwang Jiang, Xiaojing Wang, Baokun Han, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 6, pp. 065115-065115
Closed Access | Times Cited: 12
Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing
Yong Chae Kim, Jinwook Lee, Tae-Hun Kim, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110293-110293
Closed Access | Times Cited: 4
Feature distance-based deep prototype network for few-shot fault diagnosis under open-set domain adaptation scenario
Xiao Zhang, Jinrui Wang, Baokun Han, et al.
Measurement (2022) Vol. 201, pp. 111522-111522
Closed Access | Times Cited: 20
Class-imbalanced positive instances augmentation via three-line hybrid
Qi Dai, Jian‐wei Liu, Jiapeng Yang
Knowledge-Based Systems (2022) Vol. 257, pp. 109902-109902
Closed Access | Times Cited: 19
Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions
Zenghui An, Xingxing Jiang, Rui Yang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 7, pp. 8484-8495
Closed Access | Times Cited: 18
Demonstrating a new evaluation method on ReLU based Neural Networks for classification problems
Dávid Tollner, Wang Ziyu, Máté Zöldy, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123905-123905
Open Access | Times Cited: 3
SCG-GFFE: A Self-Constructed graph fault feature extractor based on graph Auto-encoder algorithm for unlabeled single-variable vibration signals of harmonic reducer
Shilong Sun, Hao Ding, Zida Zhao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102579-102579
Closed Access | Times Cited: 3
A novel incremental method for bearing fault diagnosis that continuously incorporates unknown fault types
Haoxiang He, Cunbo Zhuang, Hui Xiong
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111524-111524
Closed Access | Times Cited: 3
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