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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:

Multi-source weighted source-free domain transfer method for rotating machinery fault diagnosis
Qinhe Gao, Tong Huang, Ke Zhao, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121585-121585
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Self-paced decentralized federated transfer framework for rotating machinery fault diagnosis with multiple domains
Ke Zhao, Zhenbao Liu, Jia Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111258-111258
Closed Access | Times Cited: 17
Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning
Yutong Dong, Hongkai Jiang, Renhe Yao, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109805-109805
Closed Access | Times Cited: 28
Classifier-guided neural blind deconvolution: A physics-informed denoising module for bearing fault diagnosis under noisy conditions
Jing-Xiao Liao, Chao He, Jipu Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111750-111750
Closed Access | Times Cited: 6
Lightweight Knowledge Distillation-Based Transfer Learning Framework for Rolling Bearing Fault Diagnosis
Ruijia Lu, Shuzhi Liu, Zisu Gong, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1758-1758
Open Access | Times Cited: 5
An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery
Jipu Li, Xiaoge Zhang, Ke Yue, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123836-123836
Closed Access | Times Cited: 5
Revolution and peak discrepancy-based domain alignment method for bearing fault diagnosis under very low-speed conditions
Seung-Yun Lee, Sungjong Kim, Su J. Kim, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 124084-124084
Closed Access | Times Cited: 5
Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains
Zongkai Liu, Ke Zhao, Haidong Shao, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124094-124094
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
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
Multi-fidelity sub-label-guided transfer network with physically interpretable synthetic datasets for rotor fault diagnosis
Dongmin Lee, J. Lee, Minseok Choi, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110467-110467
Closed Access
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence
Yudong Cao, Jichao Zhuang, Qiuhua Miao, et al.
Reliability Engineering & System Safety (2024) Vol. 246, pp. 110079-110079
Closed Access | Times Cited: 4
An enhanced sparse autoencoder for machinery interpretable fault diagnosis
Maogui Niu, Hongkai Jiang, Zhenghong Wu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 055108-055108
Closed Access | Times Cited: 3
A novel data augmentation method for steering mechanism fault diagnosis based on variational autoencoding generative adversarial networks with self-attention
Tongfei Lei, Zeyu Pei, Feng Pan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 055115-055115
Closed Access | Times Cited: 3
Semi-supervised source-free domain adaptation method via diffusive label propagation for rotating machinery fault diagnosis
Zhiheng Su, Penglong Lian, Penghui Shang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110408-110408
Closed Access | Times Cited: 2
A fault diagnosis method for offshore wind turbine bearing based on adaptive deep echo state network and bidirectional long short term memory network in noisy environment
Yuanhao Du, Xiuli Geng, Qingchao Zhou, et al.
Ocean Engineering (2024) Vol. 312, pp. 119101-119101
Closed Access | Times Cited: 2
A bearing fault detection and remaining useful life prediction method based on a multi-branch residual feature fusion mechanism and optimized weight allocation
Yiran Yao, Tao Liang, Jianxin Tan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025906-025906
Closed Access | Times Cited: 4
A robust source-free unsupervised domain adaptation method based on uncertainty measure and adaptive calibration for rotating machinery fault diagnosis
Yanzhuo Lin, Yu Wang, Mingquan Zhang, et al.
Reliability Engineering & System Safety (2024), pp. 110516-110516
Closed Access | Times Cited: 1
Anti-forgetting Source-free Domain Adaptation Method for Machine Fault Diagnosis
Hao Li, Zongyang Liu, Jing Lin, et al.
Knowledge-Based Systems (2024), pp. 112672-112672
Closed Access | Times Cited: 1
A partial domain adaptation broad learning system for machinery fault diagnosis
Aisong Qin, Qin Hu, Qinghua Zhang, et al.
Measurement (2024) Vol. 243, pp. 116437-116437
Closed Access | Times Cited: 1
AdaClass filter and its application in bearing fault diagnosis
Hanyu Zhang, Yuntao Li, Xin Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 045033-045033
Open Access
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Adaptive Model-Agnostic Meta-Learning Network for Cross-Machine Fault Diagnosis with Limited Samples
Mingzhe Mu, Hongkai Jiang, Xin Wang, et al.
(2024)
Closed Access
A new indirect transfer fault diagnosis method based on feature separation
Chenhui Qian, Zhaojun Yang, Jialong He, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112058-112058
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
Weighted Multiple Source-Free Domain Adaptation Ensemble Network in Intelligent Machinery Fault Diagnosis
Renhu Bu, Shuang Li, Chi Harold Liu
Lecture notes in computer science (2024), pp. 216-228
Closed Access
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