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:

Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data
Cheng Cheng, Beitong Zhou, Guijun Ma, et al.
Neurocomputing (2020) Vol. 409, pp. 35-45
Open Access | Times Cited: 211

Showing 1-25 of 211 citing articles:

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Weihua Li, Ruyi Huang, Jipu Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108487-108487
Open Access | Times Cited: 523
Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions
Tianci Zhang, Jinglong Chen, Fudong Li, et al.
ISA Transactions (2021) Vol. 119, pp. 152-171
Closed Access | Times Cited: 368
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-28
Open Access | Times Cited: 325
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Open Access | Times Cited: 185
Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network
Yudong Cao, Minping Jia, Peng Ding, et al.
Measurement (2021) Vol. 178, pp. 109287-109287
Closed Access | Times Cited: 142
A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations
Mohammed Hakim, Abdoulhdi A. Borhana Omran, Ali Najah Ahmed, et al.
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 4, pp. 101945-101945
Open Access | Times Cited: 129
A Review of Data-Driven Machinery Fault Diagnosis Using Machine Learning Algorithms
Jian Cen, Zhuohong Yang, Xi Liu, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2481-2507
Closed Access | Times Cited: 87
Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier
Saeed Rajabi, Mehdi Saman Azari, Stefania Santini, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117754-117754
Open Access | Times Cited: 85
Imbalanced bearing fault diagnosis under variant working conditions using cost-sensitive deep domain adaptation network
Zhenyu Wu, Hongkui Zhang, Juchuan Guo, et al.
Expert Systems with Applications (2022) Vol. 193, pp. 116459-116459
Closed Access | Times Cited: 83
Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM
Junbo Zhou, Maohua Xiao, Yue Niu, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6281-6281
Open Access | Times Cited: 82
Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis
Quan Qian, Yi Wang, Taisheng Zhang, et al.
Knowledge-Based Systems (2023) Vol. 276, pp. 110748-110748
Closed Access | Times Cited: 82
A survey of transfer learning for machinery diagnostics and prognostics
Siya Yao, Qi Kang, MengChu Zhou, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 4, pp. 2871-2922
Closed Access | Times Cited: 74
An overview of data-driven battery health estimation technology for battery management system
Minzhi Chen, Guijun Ma, Weibo Liu, et al.
Neurocomputing (2023) Vol. 532, pp. 152-169
Closed Access | Times Cited: 73
Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study
Chao Zhao, Enrico Zio, Weiming Shen
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109964-109964
Closed Access | Times Cited: 72
Fault diagnosis in rotating machines based on transfer learning: Literature review
Iqbal Misbah, C.K.M. Lee, K. L. Keung
Knowledge-Based Systems (2023) Vol. 283, pp. 111158-111158
Closed Access | Times Cited: 57
Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer
Yafei Deng, Jun Lv, Delin Huang, et al.
Neurocomputing (2023) Vol. 548, pp. 126391-126391
Closed Access | Times Cited: 55
An adaptive multiscale fully convolutional network for bearing fault diagnosis under noisy environments
Fan Li, Liping Wang, Decheng Wang, et al.
Measurement (2023) Vol. 216, pp. 112993-112993
Closed Access | Times Cited: 49
An Adaptive Domain Adaptation Method for Rolling Bearings’ Fault Diagnosis Fusing Deep Convolution and Self-Attention Networks
Xiao Yu, Youjie Wang, Zhongting Liang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 45
An unsupervised domain adaptation approach with enhanced transferability and discriminability for bearing fault diagnosis under few-shot samples
Wengang Ma, Yadong Zhang, Liang Ma, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120084-120084
Closed Access | Times Cited: 44
A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions
Rui Wang, Weiguo Huang, Yixiang Lu, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109463-109463
Open Access | Times Cited: 43
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
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
Parameter sharing adversarial domain adaptation networks for fault transfer diagnosis of planetary gearboxes
Yi Qin, Qunwang Yao, Yi Wang, et al.
Mechanical Systems and Signal Processing (2021) Vol. 160, pp. 107936-107936
Closed Access | Times Cited: 91
Hybrid distance-guided adversarial network for intelligent fault diagnosis under different working conditions
Baokun Han, Xiao Zhang, Jinrui Wang, et al.
Measurement (2021) Vol. 176, pp. 109197-109197
Closed Access | Times Cited: 85
A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery
Ziling Huang, Zihao Lei, Guangrui Wen, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 6, pp. 6298-6307
Closed Access | Times Cited: 84
Page 1 - Next Page

Scroll to top