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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:

Double-level adversarial domain adaptation network for intelligent fault diagnosis
Jinyang Jiao, Jing Lin, Ming Zhao, et al.
Knowledge-Based Systems (2020) Vol. 205, pp. 106236-106236
Closed Access | Times Cited: 105

Showing 1-25 of 105 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
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: 329
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: 190
Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis
Ke Zhao, Hongkai Jiang, Kaibo Wang, et al.
Knowledge-Based Systems (2021) Vol. 222, pp. 106974-106974
Closed Access | Times Cited: 157
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
Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions
Yiyao An, Ke Zhang, Yi Chai, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118802-118802
Closed Access | Times Cited: 104
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: 88
Dual adversarial network for cross-domain open set fault diagnosis
Chao Zhao, Weiming Shen
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108358-108358
Closed Access | Times Cited: 84
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: 77
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
A domain generalization network combing invariance and specificity towards real-time intelligent fault diagnosis
Chao Zhao, Weiming Shen
Mechanical Systems and Signal Processing (2022) Vol. 173, pp. 108990-108990
Closed Access | Times Cited: 72
Adversarial Mutual Information-Guided Single Domain Generalization Network for Intelligent Fault Diagnosis
Chao Zhao, Weiming Shen
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 3, pp. 2909-2918
Closed Access | Times Cited: 72
Domain augmentation generalization network for real-time fault diagnosis under unseen working conditions
Yaowei Shi, Aidong Deng, Minqiang Deng, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109188-109188
Closed Access | Times Cited: 60
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: 59
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
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions
Yongchao Zhang, Jinliang Ding, Yongbo Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108236-108236
Closed Access | Times Cited: 41
Class-Imbalance Adversarial Transfer Learning Network for Cross-Domain Fault Diagnosis With Imbalanced Data
Jiachen Kuang, Guanghua Xu, Tangfei Tao, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-11
Closed Access | Times Cited: 78
Rotating machinery fault detection and diagnosis based on deep domain adaptation: A survey
Siyu Zhang, Lei Su, Jiefei Gu, et al.
Chinese Journal of Aeronautics (2021) Vol. 36, Iss. 1, pp. 45-74
Open Access | Times Cited: 73
Data-driven fault diagnosis for wind turbines using modified multiscale fluctuation dispersion entropy and cosine pairwise-constrained supervised manifold mapping
Zhenya Wang, Gaosong Li, Ligang Yao, et al.
Knowledge-Based Systems (2021) Vol. 228, pp. 107276-107276
Closed Access | Times Cited: 57
Deep Transfer Learning in Mechanical Intelligent Fault Diagnosis: Application and Challenge
Chenhui Qian, Junjun Zhu, Yehu Shen, et al.
Neural Processing Letters (2022) Vol. 54, Iss. 3, pp. 2509-2531
Closed Access | Times Cited: 57
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy
Rui Wang, Weiguo Huang, Mingkuan Shi, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109880-109880
Closed Access | Times Cited: 53
A class-aware supervised contrastive learning framework for imbalanced fault diagnosis
Jiyang Zhang, Jianxiao Zou, Zhiheng Su, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109437-109437
Closed Access | Times Cited: 43
Domain Transferability-Based Deep Domain Generalization Method Towards Actual Fault Diagnosis Scenarios
Yaowei Shi, Aidong Deng, Minqiang Deng, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 6, pp. 7355-7366
Closed Access | Times Cited: 42
Conditional distribution-guided adversarial transfer learning network with multi-source domains for rolling bearing fault diagnosis
Zhenghong Wu, Hongkai Jiang, Shaowei Liu, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101993-101993
Closed Access | Times Cited: 31
Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery
Jin‐Wook Lee, Myungyon Kim, Jin Uk Ko, et al.
Reliability Engineering & System Safety (2021) Vol. 218, pp. 108186-108186
Closed Access | Times Cited: 51
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