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OpenAlex Citation Counts

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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:

Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions
Liang Chen, Qi Li, Changqing Shen, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 3, pp. 1790-1800
Open Access | Times Cited: 137

Showing 51-75 of 137 citing articles:

Multiple classifiers inconsistency-based deep adversarial domain generalization method for cross-condition fault diagnosis in rotating systems
Lei Gao, Qinhe Gao, Zhihao Liu, et al.
Reliability Engineering & System Safety (2025), pp. 111017-111017
Closed Access
Self-supervised feature extraction via time–frequency contrast for intelligent fault diagnosis of rotating machinery
Yang Liu, Weigang Wen, Yihao Bai, et al.
Measurement (2023) Vol. 210, pp. 112551-112551
Closed Access | Times Cited: 14
An information-induced fault diagnosis framework generalizing from stationary to unknown nonstationary working conditions
Jianing Liu, Hongrui Cao, Yang Luo
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109380-109380
Closed Access | Times Cited: 14
A novel generation network using feature fusion and guided adversarial learning for fault diagnosis of rotating machinery
Zong Meng, Huihui He, Wei Cao, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121058-121058
Closed Access | Times Cited: 14
VIT-GADG: A Generative Domain-Generalized Framework for Chillers Fault Diagnosis Under Unseen Working Conditions
Kexin Jiang, Xuejin Gao, Huihui Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 12
Uncertainty-Weighted Domain Generalization for Remaining Useful Life Prediction of Rolling Bearings Under Unseen Conditions
S Tong, Yan Han, Xiaolong Zhang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10933-10943
Closed Access | Times Cited: 4
Domain generalization for machine compound fault diagnosis by Domain-Relevant Joint Distribution Alignment
Huayan Pu, Shouwei Teng, Dengyu Xiao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102771-102771
Closed Access | Times Cited: 4
Knowledge distillation-based domain generalization enabling invariant feature distributions for damage detection of rotating machines and structures
Xiaoyou Wang, Jinyang Jiao, Xiaoqing Zhou, et al.
Reliability Engineering & System Safety (2025) Vol. 257, pp. 110842-110842
Closed Access
Protecting the interests of owners of intelligent fault diagnosis models: A style relationship-preserving privacy protection method
Xilin Yang, Xianfeng Yuan, Xinxin Yao, et al.
Expert Systems with Applications (2025), pp. 126730-126730
Closed Access
Dual disentanglement domain generalization method for rotating Machinery fault diagnosis
Guowei Zhang, Xianguang Kong, Hongbo Ma, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112460-112460
Closed Access
Causal Disentanglement: A Generalized Bearing Fault Diagnostic Framework in Continuous Degradation Mode
Jie Li, Yu Wang, Yanyang Zi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 9, pp. 6250-6262
Closed Access | Times Cited: 31
A Novel Bayesian Deep Dual Network With Unsupervised Domain Adaptation for Transfer Fault Prognosis Across Different Machines
Cheng‐Geng Huang, Jun Zhu, Han Yu, et al.
IEEE Sensors Journal (2021) Vol. 22, Iss. 8, pp. 7855-7867
Closed Access | Times Cited: 30
Causal Consistency Network: A Collaborative Multimachine Generalization Method for Bearing Fault Diagnosis
Jie Li, Yu Wang, Yanyang Zi, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 4, pp. 5915-5924
Closed Access | Times Cited: 21
A Novel Multiview Sampling-Based Meta Self-Paced Learning Approach for Class-Imbalanced Intelligent Fault Diagnosis
Pin Lyu, Pai Zheng, Wenbing Yu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Open Access | Times Cited: 21
Fault Diagnosis of Wheeled Robot Based on Prior Knowledge and Spatial-Temporal Difference Graph Convolutional Network
Zhaoming Miao, Yingxiang Xia, Fengyu Zhou, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 5, pp. 7055-7065
Closed Access | Times Cited: 20
Transfer Graph-Driven Rotating Machinery Diagnosis Considering Cross-Domain Relationship Construction
Chaoying Yang, Jie Liu, Kaibo Zhou, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 6, pp. 5351-5360
Closed Access | Times Cited: 19
A Tensor-based domain alignment method for intelligent fault diagnosis of rolling bearing in rotating machinery
Zhaohua Liu, Liang Chen, Hua‐Liang Wei, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108968-108968
Open Access | Times Cited: 19
A federated distillation domain generalization framework for machinery fault diagnosis with data privacy
Chao Zhao, Weiming Shen
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107765-107765
Closed Access | Times Cited: 12
Maximum Cyclic Gini Index Deconvolution for Rolling Bearing Fault Diagnosis
Zong Meng, Zhaolin Cui, Jingbo Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 10
Semi-physical simulation-driven contrastive decoupling net for intelligent fault diagnosis of unseen machines under varying speed
Zhen Shi, Jinglong Chen, Yanyang Zi, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076101-076101
Closed Access | Times Cited: 3
An Improved Fault Diagnosis Method for Rolling Bearings Based on 1D_CNN Considering Noise and Working Condition Interference
Kai Huang, Linbo Zhu, Zhijun Ren, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 383-383
Open Access | Times Cited: 3
CIS2N: Causal independence and sparse shift network for rotating machinery fault diagnosis in unseen domains
Chang Guo, Zuogang Shang, Jiaxin Ren, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110381-110381
Closed Access | Times Cited: 3
NTScatNet: An interpretable convolutional neural network for domain generalization diagnosis across different transmission paths
Chao Liu, Xiaolong Ma, Tianyu Han, et al.
Measurement (2022) Vol. 204, pp. 112041-112041
Closed Access | Times Cited: 16
Federated domain generalization with global robust model aggregation strategy for bearing fault diagnosis
X.C. Cong, Yan Song, Yibin Li, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115116-115116
Closed Access | Times Cited: 10
A Novel Prototype-Assisted Contrastive Adversarial Network for Weak-Shot Learning With Applications: Handling Weakly Labeled Data
Chuang Wang, Zidong Wang, Hongli Dong
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 1, pp. 533-543
Closed Access | Times Cited: 9

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