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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:

An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network
Liang Ma, Yu Ding, Zili Wang, et al.
Expert Systems with Applications (2021) Vol. 182, pp. 115234-115234
Closed Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives
Tongyang Pan, Jinglong Chen, Tianci Zhang, et al.
ISA Transactions (2021) Vol. 128, pp. 1-10
Closed Access | Times Cited: 135
A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication
Dongdong Liu, Lingli Cui, Weidong Cheng
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 012002-012002
Closed Access | Times Cited: 83
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: 69
Prior knowledge-embedded meta-transfer learning for few-shot fault diagnosis under variable operating conditions
Zihao Lei, Ping Zhang, Yuejian Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110491-110491
Closed Access | Times Cited: 49
A novel deep clustering network using multi-representation autoencoder and adversarial learning for large cross-domain fault diagnosis of rolling bearings
Haoran Wen, Wei Guo, Xiang Li
Expert Systems with Applications (2023) Vol. 225, pp. 120066-120066
Closed Access | Times Cited: 41
A trackable multi-domain collaborative generative adversarial network for rotating machinery fault diagnosis
Xin Wang, Hongkai Jiang, Mingzhe Mu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111950-111950
Closed Access | Times Cited: 35
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
Full Attention Wasserstein GAN With Gradient Normalization for Fault Diagnosis Under Imbalanced Data
Jigang Fan, Xianfeng Yuan, Zhaoming Miao, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-16
Closed Access | Times Cited: 48
Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109292-109292
Closed Access | Times Cited: 26
Novel virtual sample generation method based on data augmentation and weighted interpolation for soft sensing with small data
Xiao-Lu Song, Yan‐Lin He, Xingyuan Li, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120085-120085
Closed Access | Times Cited: 24
Fault diagnosis of wind turbine gearbox under limited labeled data through temporal predictive and similarity contrast learning embedded with self-attention mechanism
Yunyi Zhu, Bin Xie, Anqi Wang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123080-123080
Closed Access | Times Cited: 24
Effective time-series Data Augmentation with Analytic Wavelets for bearing fault diagnosis
Delanyo Kwame Bensah Kulevome, Hong Wang, Bernard Cobbinah, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123536-123536
Closed Access | Times Cited: 14
Advanced acoustic leak detection in water distribution networks using integrated generative model
Rongsheng Liu, Tarek Zayed, Rui Xiao
Water Research (2024) Vol. 254, pp. 121434-121434
Closed Access | Times Cited: 14
Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey
Afrânio Melo, Maurício Melo Câmara, José Carlos Pinto
Processes (2024) Vol. 12, Iss. 2, pp. 251-251
Open Access | Times Cited: 11
Time series diffusion method: A denoising diffusion probabilistic model for vibration signal generation
Haiming Yi, Lei Hou, Yuhong Jin, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111481-111481
Open Access | Times Cited: 10
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects
Shen Liu, Jinglong Chen, Yong Feng, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124511-124511
Closed Access | Times Cited: 8
Dual-Attention Generative Adversarial Networks for Fault Diagnosis Under the Class-Imbalanced Conditions
Rugen Wang, Zhuyun Chen, Shaohui Zhang, et al.
IEEE Sensors Journal (2021) Vol. 22, Iss. 2, pp. 1474-1485
Closed Access | Times Cited: 48
Few-shot fault diagnosis of rolling bearing under variable working conditions based on ensemble meta-learning
Changchang Che, Huawei Wang, Minglan Xiong, et al.
Digital Signal Processing (2022) Vol. 131, pp. 103777-103777
Closed Access | Times Cited: 33
Limited Fault Data Augmentation With Compressed Sensing for Bearing Fault Diagnosis
Dongdong Wang, Yining Dong, Han Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 14499-14511
Closed Access | Times Cited: 21
Sparse representation learning for fault feature extraction and diagnosis of rotating machinery
Sai Ma, Qinkai Han, Fulei Chu
Expert Systems with Applications (2023) Vol. 232, pp. 120858-120858
Closed Access | Times Cited: 21
Interpretable data-augmented adversarial variational autoencoder with sequential attention for imbalanced fault diagnosis
Yunpeng Liu, Hongkai Jiang, Renhe Yao, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 342-359
Closed Access | Times Cited: 21
A novel contrastive adversarial network for minor-class data augmentation: Applications to pipeline fault diagnosis
Chuang Wang, Zidong Wang, Lifeng Ma, et al.
Knowledge-Based Systems (2023) Vol. 271, pp. 110516-110516
Closed Access | Times Cited: 20
Gradient flow-based meta generative adversarial network for data augmentation in fault diagnosis
Rugen Wang, Zhuyun Chen, Weihua Li
Applied Soft Computing (2023) Vol. 142, pp. 110313-110313
Closed Access | Times Cited: 17
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: 36
Progressive generative adversarial network for generating high-dimensional and wide-frequency signals in intelligent fault diagnosis
Zhijun Ren, Kai Huang, Yongsheng Zhu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108332-108332
Closed Access | Times Cited: 4
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