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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:

Interactive dual adversarial neural network framework: An open-set domain adaptation intelligent fault diagnosis method of rotating machinery
Gang Mao, Yongbo Li, Sixiang Jia, et al.
Measurement (2022) Vol. 195, pp. 111125-111125
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Bayesian transfer learning with active querying for intelligent cross-machine fault prognosis under limited data
Rong Zhu, Weiwen Peng, Dong Wang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 183, pp. 109628-109628
Closed Access | Times Cited: 81
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
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
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds
Pengfei Liang, Bin Wang, Guoqian Jiang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105656-105656
Closed Access | Times Cited: 56
Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation
Jingjie Luo, Haidong Shao, Hongru Cao, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 180-191
Open Access | Times Cited: 45
One-stage self-supervised momentum contrastive learning network for open-set cross-domain fault diagnosis
Weicheng Wang, Chao Li, Aimin Li, et al.
Knowledge-Based Systems (2023) Vol. 275, pp. 110692-110692
Closed Access | Times Cited: 34
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
A two-stage domain alignment method for multi-source domain fault diagnosis
Wei Cao, Zong Meng, Dengyun Sun, et al.
Measurement (2023) Vol. 214, pp. 112818-112818
Closed Access | Times Cited: 22
Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios
Qiu‐Ning Zhu, Hongqi Liu, Chenyu Bao, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102445-102445
Closed Access | Times Cited: 7
Open-set domain generalization for fault diagnosis through data augmentation and a dual-level weighted mechanism
Chuanxia Jian, Yonghe Peng, Guopeng Mo, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102703-102703
Closed Access | Times Cited: 7
TSoft-Net: A novel transfer soft thresholding network based on self-attention for intelligent fault diagnosis of rotating machinery
Shihang Yu, Shanchen Pang, Limei Song, et al.
Measurement (2024) Vol. 227, pp. 114237-114237
Closed Access | Times Cited: 5
Open-set domain adaptive fault diagnosis based on supervised contrastive learning and a complementary weighted dual adversarial network
Cailu Pan, Zhiwu Shang, Lutai Tang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111780-111780
Closed Access | Times Cited: 5
Integrating intrinsic information: A novel open set domain adaptation network for cross-domain fault diagnosis with multiple unknown faults
Yuteng Zhang, Hongliang Zhang, Bin Chen, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112100-112100
Closed Access | Times Cited: 4
SFDA-T: A novel source-free domain adaptation method with strong generalization ability for fault diagnosis
Jie Wang, Haidong Shao, Yiming Xiao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102903-102903
Closed Access | Times Cited: 4
A centroid contrastive multi-source domain adaptation method for fault diagnosis with category shift
Yufeng Li, Xinghan Xu, Lei Hu, et al.
Measurement (2025), pp. 116801-116801
Closed Access
Feature Similarity-Aware Open-Set Fault Diagnosis Via an Adaptive Dual-Stage Recognition Framework
Penglong Lian, Zhiheng Su, Penghui Shang, et al.
(2025)
Closed Access
Active federated transfer algorithm based on broad learning for fault diagnosis
Guokai Liu, Weiming Shen, Liang Gao, et al.
Measurement (2023) Vol. 208, pp. 112452-112452
Closed Access | Times Cited: 12
Open-set domain adaptation via feature clustering and separation for fault diagnosis
Xuan Wang, Zhangsong Shi, Shiyan Sun, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 16347-16361
Closed Access | Times Cited: 3
A domain adaptation method based on interpolation and centroid representation for open-set fault diagnosis of bearing
Bo Lin, Kong Sun, Daiping Wei
Measurement (2023) Vol. 216, pp. 112945-112945
Closed Access | Times Cited: 8
Cross-Domain Open-Set Fault Diagnosis Based on Target Domain Slanted Adversarial Network for Rotating Machinery
Zuqiang Su, Weilong Jiang, Yang Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 8
Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets
Gang Mao, Yongbo Li, Zhiqiang Cai, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106670-106670
Closed Access | Times Cited: 8
Open-set federated adversarial domain adaptation based cross-domain fault diagnosis
Shu Ping Xu, Jian Ma, Dengwei Song
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115004-115004
Closed Access | Times Cited: 7
Multi-level weighted dynamic adversarial adaptation network for partial set cross-domain fault diagnosis
Yuteng Zhang, Hongliang Zhang, Rui Wang, et al.
Measurement (2023) Vol. 223, pp. 113712-113712
Closed Access | Times Cited: 7
An Adversarial Multisource Data Subdomain Adaptation Model: A Promising Tool for Fault Diagnosis of Induction Motor Under Cross-Operating Conditions
Jiancong Shi, Xinglong Wang, Siliang Lu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 6
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