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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:

Imbalanced fault diagnosis of rolling bearing using improved MsR-GAN and feature enhancement-driven CapsNet
Jie Liu, Changhe Zhang, Xingxing Jiang
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108664-108664
Closed Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles
Zhongxu Hu, Shanhe Lou, Yang Xing, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 7, Iss. 3, pp. 417-440
Open Access | Times Cited: 103
Intelligent Machinery Fault Diagnosis With Event-Based Camera
Xiang Li, Shupeng Yu, Yaguo Lei, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 380-389
Closed Access | Times Cited: 95
An improved GNN using dynamic graph embedding mechanism: A novel end-to-end framework for rolling bearing fault diagnosis under variable working conditions
Zidong Yu, Changhe Zhang, Chao Deng
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110534-110534
Closed Access | Times Cited: 54
Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network
Xiaoan Yan, Wang‐Ji Yan, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110664-110664
Closed Access | Times Cited: 42
Dynamic Vision-Based Machinery Fault Diagnosis with Cross-Modality Feature Alignment
Xiang Li, Shupeng Yu, Yaguo Lei, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 10, pp. 2068-2081
Closed Access | Times Cited: 30
Fault diagnosis study of hydraulic pump based on improved symplectic geometry reconstruction data enhancement method
Siyuan Liu, Jixiong Yin, Ming Hao, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102459-102459
Closed Access | Times Cited: 19
A CNN-BiLSTM-Attention approach for EHA degradation prediction based on time-series generative adversarial network
Zhonghai Ma, Yiwen Sun, Hui Ji, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111443-111443
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
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples
Jian Lin, Haidong Shao, Zhishan Min, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109493-109493
Closed Access | Times Cited: 52
An improved multi-channel graph convolutional network and its applications for rotating machinery diagnosis
Chaoying Yang, Jie Liu, Kaibo Zhou, et al.
Measurement (2022) Vol. 190, pp. 110720-110720
Closed Access | Times Cited: 43
A class-aware supervised contrastive learning framework for imbalanced fault diagnosis
Jiyang Zhang, Jianxiao Zou, Zhiheng Su, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109437-109437
Closed Access | Times Cited: 42
Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions
Jiawei Xiong, Olga Fink, Jian Zhou, et al.
Mechanical Systems and Signal Processing (2023) Vol. 197, pp. 110359-110359
Open Access | Times Cited: 32
ICoT-GAN: Integrated Convolutional Transformer GAN for Rolling Bearings Fault Diagnosis Under Limited Data Condition
Huihui Gao, Xiaoran Zhang, Xuejin Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 31
Advancements in condition monitoring and fault diagnosis of rotating machinery: A comprehensive review of image-based intelligent techniques for induction motors
Omar AlShorman, Muhammad Irfan, Ra’ed Bani Abdelrahman, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107724-107724
Open Access | Times Cited: 24
Class overlap handling methods in imbalanced domain: A comprehensive survey
A. Kumar, Dinesh Singh, Rama Shankar Yadav
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63243-63290
Closed Access | Times Cited: 11
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
Intelligent fault identification in sample imbalance scenarios using robust low-rank matrix classifier with fuzzy weighting factor
Haifeng Xu, Haiyang Pan, Jinde Zheng, et al.
Applied Soft Computing (2024) Vol. 152, pp. 111229-111229
Closed Access | Times Cited: 9
MNHP-GAE: A Novel Manipulator Intelligent Health State Diagnosis Method in Highly Imbalanced Scenarios
Bo Zhao, Qiqiang Wu, Ke Zhao, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 24073-24082
Closed Access | Times Cited: 9
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects
Shen Liu, Jinglong Chen, Yong Feng, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124511-124511
Closed Access | Times Cited: 8
Deep-Learning-Enabled Predictive Maintenance in Industrial Internet of Things: Methods, Applications, and Challenges
Hongchao Wang, Weiting Zhang, Dong Yang, et al.
IEEE Systems Journal (2022) Vol. 17, Iss. 2, pp. 2602-2615
Closed Access | Times Cited: 35
A new generative adversarial network based imbalanced fault diagnosis method
Menglei Li, Dacheng Zou, Shuyang Luo, et al.
Measurement (2022) Vol. 194, pp. 111045-111045
Closed Access | Times Cited: 34
A deep capsule neural network with data augmentation generative adversarial networks for single and simultaneous fault diagnosis of wind turbine gearbox
Pengfei Liang, Chao Deng, Xiaoming Yuan, et al.
ISA Transactions (2022) Vol. 135, pp. 462-475
Closed Access | Times Cited: 30
A new intelligent fault diagnosis framework for rotating machinery based on deep transfer reinforcement learning
Daoguang Yang, Hamid Reza Karimi, Marek Pawełczyk
Control Engineering Practice (2023) Vol. 134, pp. 105475-105475
Open Access | Times Cited: 20
A novel contrastive adversarial network for minor-class data augmentation: Applications to pipeline fault diagnosis
Chuang Wang, Zidong Wang, Lifeng Ma, et al.
Knowledge-Based Systems (2023) Vol. 271, pp. 110516-110516
Closed Access | Times Cited: 20
A graph neural network-based bearing fault detection method
Xiaoxia Lü, Xiaoxin Yang, Xiaodong Yang
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 20
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