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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:

Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization
Shen Yan, Xiang Zhong, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109522-109522
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention
Shen Yan, Haidong Shao, Jie Wang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121338-121338
Open Access | Times Cited: 95
Model-Assisted Multi-source Fusion Hypergraph Convolutional Neural Networks for intelligent few-shot fault diagnosis to Electro-Hydrostatic Actuator
Xiaoli Zhao, Xingjun Zhu, Jiahui Liu, et al.
Information Fusion (2023) Vol. 104, pp. 102186-102186
Closed Access | Times Cited: 43
Multi-perception Graph Convolutional Tree-embedded Network for Aero-engine Bearing Health Monitoring with Unbalanced Data
Dezun Zhao, Wenbin Cai, Lingli Cui
Reliability Engineering & System Safety (2025) Vol. 257, pp. 110888-110888
Closed Access | Times Cited: 2
Multi-scale dynamic graph mutual information network for planet bearing health monitoring under imbalanced data
Wenbin Cai, Dezun Zhao, Tianyang Wang
Advanced Engineering Informatics (2025) Vol. 64, pp. 103096-103096
Closed Access | Times Cited: 1
Fault vibration model driven fault-aware domain generalization framework for bearing fault diagnosis
Bin Pang, Qiuhai Liu, Zhenli Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102620-102620
Closed Access | Times Cited: 11
Contrastive feature-based learning-guided elevated deep reinforcement learning: Developing an imbalanced fault quantitative diagnosis under variable working conditions
Shuilong He, Qianwen Cui, Jinglong Chen, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111192-111192
Closed Access | Times Cited: 10
A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples
Zhangjun Wu, Renli Xu, Yuansheng Luo, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110297-110297
Closed Access | Times Cited: 9
Digital twin-driven prognostics and health management for industrial assets
Bin Xiao, Jingshu Zhong, Xiangyu Bao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis
Xin Wang, Hongkai Jiang, Mu Mingzhe, et al.
Reliability Engineering & System Safety (2024), pp. 110662-110662
Closed Access | Times Cited: 7
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks
Zifeng Xu, Zhe Wang, Chaojia Gao, et al.
Computers in Industry (2024) Vol. 163, pp. 104155-104155
Closed Access | Times Cited: 6
A Finite Element Model of an Electric Motor with an Unbalanced Rotor for Vibration Data Generation
Hyun-Seung Lee, Seho Son, Dayeon Jeong, et al.
International Journal of Precision Engineering and Manufacturing-Smart Technology (2024) Vol. 2, Iss. 1, pp. 47-56
Open Access | Times Cited: 5
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
Multi-task dual-level adversarial transfer learning boosted RUL estimation of CNC milling tools
Pei Wang, Jinrui Liu, Jingshuai Qi, et al.
Knowledge-Based Systems (2025), pp. 113152-113152
Closed Access
Fault diagnosis method for imbalanced data based on adaptive diffusion models and generative adversarial networks
Xueyi Li, Xudong Wu, Tianyang Wang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110410-110410
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
Recent Progress in Digital Twin-Driven Fault Diagnosis of Rotating Machinery：A Comprehensive Review
Zhang Pengbo, Renxiang Chen, Lixia Yang, et al.
Neurocomputing (2025), pp. 129914-129914
Closed Access
Dynamic embedded spatial–temporal graph construction via virtual nodes for helicopter transmission system fault diagnosis
Guowang Chen, Qian Tang, Jian Lan, et al.
Measurement (2025), pp. 117401-117401
Closed Access
A Novel Reinforcement Learning Agent for Rotating Machinery Fault Diagnosis with Data Augmentation
Zhenning Li, Hongkai Jiang, Xin Wang
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110570-110570
Closed Access | Times Cited: 3
Fault Diagnosis Scheme for Railway Switch Machine Using Multi-Sensor Fusion Tensor Machine
Chen Chen, Zhongwei Xu, Meng Mei, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 3, pp. 4533-4549
Open Access | Times Cited: 2
Physics-driven feature alignment combined with dynamic distribution adaptation for three-cylinder drilling pump cross-speed fault diagnosis
Menghang Dai, Zhiliang Liu, Jinrui Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110369-110369
Closed Access | Times Cited: 2
Granularity knowledge-sharing supervised contrastive learning framework for long-tailed fault diagnosis of rotating machinery
Shuyuan Chang, Liyong Wang, Mingkuan Shi, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112354-112354
Closed Access | Times Cited: 2
A state of the art in digital twin for intelligent fault diagnosis
Changhua Hu, Zeming Zhang, Chuanyang Li, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102963-102963
Closed Access | Times Cited: 2
Multiscale cyclic frequency demodulation-based feature fusion framework for multi-sensor driven gearbox intelligent fault detection
Junchao Guo, Qingbo He, Dong Zhen, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111203-111203
Open Access | Times Cited: 6
A New Lightweight Fault Diagnosis Framework Towards Variable Speed Rolling Bearings
Guiyi Liu, Chao Zhang, Shuai Xu, et al.
IEEE Access (2024) Vol. 12, pp. 70170-70183
Open Access | Times Cited: 1
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