Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Subdomain Adaptation Transfer Learning Network for Fault Diagnosis of Roller Bearings
Zhijian Wang, Xinxin He, Bin Yang, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 8, pp. 8430-8439
Closed Access | Times Cited: 182

Showing 1-25 of 182 citing articles:

Universal source-free domain adaptation method for cross-domain fault diagnosis of machines
Yongchao Zhang, Zhaohui Ren, Ke Feng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110159-110159
Closed Access | Times Cited: 90
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
Digital twin-driven fault diagnosis method for composite faults by combining virtual and real data
Chao Yang, Baoping Cai, Qibing Wu, et al.
Journal of Industrial Information Integration (2023) Vol. 33, pp. 100469-100469
Closed Access | Times Cited: 76
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
Enhanced transfer learning method for rolling bearing fault diagnosis based on linear superposition network
Chunran Huo, Quan Jiang, Yehu Shen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105970-105970
Closed Access | Times Cited: 49
An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples
Baoye Song, Yiyan Liu, Jingzhong Fang, et al.
Neurocomputing (2024) Vol. 574, pp. 127284-127284
Closed Access | Times Cited: 47
MgNet: A fault diagnosis approach for multi-bearing system based on auxiliary bearing and multi-granularity information fusion
Jin Deng, Han Liu, Hairui Fang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110253-110253
Closed Access | Times Cited: 46
Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network
Xiaoan Yan, Wang‐Ji Yan, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110664-110664
Closed Access | Times Cited: 42
Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing
Lingli Cui, Yongchang Xiao, Dongdong Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109991-109991
Closed Access | Times Cited: 41
Cross-machine deep subdomain adaptation network for wind turbines fault diagnosis
Jiayang Liu, Liang Wan, Fuqi Xie, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111151-111151
Closed Access | Times Cited: 17
Digital twin-assisted dual transfer: a novel information-model adaptation method for rolling bearing fault diagnosis
Zixian Li, Xiaoxi Ding, Zhenzhen Song, et al.
Information Fusion (2024), pp. 102271-102271
Closed Access | Times Cited: 17
Few-shot fault diagnosis of axial piston pump based on prior knowledge-embedded meta learning vision transformer under variable operating conditions
Suiyan Wang, Hanqin Shuai, Junhui Hu, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126452-126452
Closed Access | Times Cited: 5
Novel Domain-Adaptive Wasserstein Generative Adversarial Networks for Early Bearing Fault Diagnosis under Various Conditions
Z. K. Hei, Weifang Sun, Haiyang Yang, et al.
Reliability Engineering & System Safety (2025), pp. 110847-110847
Closed Access | Times Cited: 2
A new adaptive multi-scale attention adversarial network for cross-domain fault diagnosis
Lingtan Kong, Jinrui Wang, Dawei Wang, et al.
Knowledge-Based Systems (2025), pp. 113066-113066
Closed Access | Times Cited: 1
Multiscale inverted residual convolutional neural network for intelligent diagnosis of bearings under variable load condition
Wenlei Zhao, Zhijian Wang, Wenan Cai, et al.
Measurement (2021) Vol. 188, pp. 110511-110511
Closed Access | Times Cited: 82
Research on a remaining useful life prediction method for degradation angle identification two-stage degradation process
Zhijian Wang, Yuntian Ta, Wenan Cai, et al.
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109747-109747
Closed Access | Times Cited: 47
Few-Shot Transfer Learning With Attention Mechanism for High-Voltage Circuit Breaker Fault Diagnosis
Yanxin Wang, Jing Yan, Xinyu Ye, et al.
IEEE Transactions on Industry Applications (2022) Vol. 58, Iss. 3, pp. 3353-3360
Closed Access | Times Cited: 44
MMFNet: Multisensor Data and Multiscale Feature Fusion Model for Intelligent Cross-Domain Machinery Fault Diagnosis
Yongchao Zhang, Ke Feng, Hui Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 40
Adaptive staged remaining useful life prediction method based on multi-sensor and multi-feature fusion
Yuntian Ta, Yan‐Feng Li, Wenan Cai, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109033-109033
Closed Access | Times Cited: 39
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
An Adaptive Activation Transfer Learning Approach for Fault Diagnosis
Yongyi Chen, Dan Zhang, Kunpeng Zhu, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 28, Iss. 5, pp. 2645-2656
Closed Access | Times Cited: 32
ICoT-GAN: Integrated Convolutional Transformer GAN for Rolling Bearings Fault Diagnosis Under Limited Data Condition
Huihui Gao, Xiaoran Zhang, Xuejin Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 31
Multi-source information joint transfer diagnosis for rolling bearing with unknown faults via wavelet transform and an improved domain adaptation network
Pengfei Liang, Jiaye Tian, Suiyan Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109788-109788
Closed Access | Times Cited: 29
Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment
Lijie Zhang, Bin Wang, Pengfei Liang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102211-102211
Closed Access | Times Cited: 27
Domain Adaptation Networks With Parameter-Free Adaptively Rectified Linear Units for Fault Diagnosis Under Variable Operating Conditions
Yongyi Chen, Dan Zhang, Ruqiang Yan
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 11, pp. 16872-16885
Closed Access | Times Cited: 26
Page 1 - Next Page

Scroll to top