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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:

Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions
Yifei Ding, Minping Jia, Jichao Zhuang, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108890-108890
Closed Access | Times Cited: 125

Showing 26-50 of 125 citing articles:

Domain adaptation with domain specific information and feature disentanglement for bearing fault diagnosis
Shaozhang Xie, Peng Xia, Hanqi Zhang
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056101-056101
Open Access | Times Cited: 5
Digital twin-assisted interpretable transfer learning: A novel wavelet-based framework for intelligent fault diagnostics from simulated domain to real industrial domain
Sheng Li, Qiubo Jiang, Yadong Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102681-102681
Closed Access | Times Cited: 5
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Dynamic Balanced Training Regimes: Elevating model performance through iterative training with imbalanced superset and balanced subset alternation
Mrityunjoy Gain, Asadov Amirjon, Sumit Kumar Dam, et al.
Expert Systems with Applications (2025), pp. 126423-126423
Closed Access
Source-free Progressive Domain Adaptation Network for Universal Cross-domain Fault Diagnosis of Industrial Equipment
Jipu Li, Ke Yue, Zhaoqian Wu, et al.
IEEE Sensors Journal (2025) Vol. 25, Iss. 5, pp. 8067-8078
Closed Access
Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance
Hao Luo, Xinyue Wang, Li Zhang
Actuators (2025) Vol. 14, Iss. 1, pp. 39-39
Open Access
Cross-domain bearing fault diagnosis under missing labels with uncertainty modeling and digital twin correction
Z. Zhou, Wenhua Chen
Measurement (2025), pp. 116869-116869
Closed Access
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
Repetitive transient impact detection and its application in cross-machine fault detection of rolling bearings
Xin Kang, Junsheng Cheng, Yu Yang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112422-112422
Closed Access
A recombination generation method for missing fault data samples under unknown working conditions based on swap invariance-based multi-attribute disentangled representation network
Yujie Cheng, Gaowei Wang, Haoxin Gu, et al.
Measurement (2025), pp. 116982-116982
Closed Access
Auxiliary-feature-embedded causality-inspired dynamic penalty networks for open-set domain generalization diagnosis scenario
Ning Jia, Weiguo Huang, Chuancang Ding, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103220-103220
Closed Access
Unsupervised transfer learning for monitoring CFRP responses using discrete strains
Yan Huai, Songhe Meng, Bo Gao, et al.
International Journal of Mechanical Sciences (2025), pp. 110142-110142
Closed Access
Integrating causal representations with domain adaptation for fault diagnosis
Ming Jiang, Kuang Zhou, Jiahui Gao, et al.
Reliability Engineering & System Safety (2025), pp. 110999-110999
Closed Access
Weighted class-aware matching adaptation network for aero-engine imbalanced multi-source cross-domain fault diagnosis under class shift
Yuqiang Wang, Yong-Ping Zhao, Bo Liang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110510-110510
Closed Access
Introductory Chapter: Transfer Learning – Leveraging the Capability of Pre-trained Models across Different Domains
Anwar P. P. Abdul Majeed
Artificial intelligence (2025)
Closed Access
Unsupervised Continual Source-Free Network for Fault Diagnosis of Machines Under Multiple Diagnostic Domains
Jipu Li, Ke Yue, Ruyi Huang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8292-8303
Closed Access | Times Cited: 15
Adaptive incremental diagnosis model for intelligent fault diagnosis with dynamic weight correction
Kui Hu, Qingbo He, Changming Cheng, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109705-109705
Closed Access | Times Cited: 15
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
Interpretable multi-domain meta-transfer learning for few-shot fault diagnosis of rolling bearing under variable working conditions
Changchang Che, Yuli Zhang, Huawei Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076103-076103
Closed Access | Times Cited: 4
A train bearing imbalanced fault diagnosis method based on extended CCR and multi-scale feature fusion network
Changfu He, Deqiang He, Zexian Wei, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 15, pp. 13147-13173
Closed Access | Times Cited: 4
Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing
Yong Chae Kim, Jinwook Lee, Tae-Hun Kim, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110293-110293
Closed Access | Times Cited: 4
Multi-source domain self-supervised enhanced transfer fault diagnosis approach with source sample refinement strategy
Xinyu Ren, Wanli Zhao, Mengmeng Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110380-110380
Closed Access | Times Cited: 4
Domain reinforcement feature adaptation methodology with correlation alignment for compound fault diagnosis of rolling bearing
Zisheng Wang, Jianping Xuan, Tielin Shi
Expert Systems with Applications (2024), pp. 125594-125594
Closed Access | Times Cited: 4
A supervised contrastive learning method based on online complement strategy for long-tailed fine-grained fault diagnosis
Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103079-103079
Closed Access
SDCGAN: A CycleGAN-Based Single-Domain Generalization Method for Mechanical Fault Diagnosis
Yu Guo, Xiangyu Li, Jundong Zhang, et al.
Reliability Engineering & System Safety (2025), pp. 110854-110854
Closed Access

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