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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:

Online Knowledge Distillation-Based Multiscale Threshold Denoising Networks for Fault Diagnosis of Transmission Systems
Yadong Xu, Xiaoan Yan, Beibei Sun, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 2, pp. 4421-4431
Closed Access | Times Cited: 16

Showing 16 citing articles:

Digital twin-driven discriminative graph learning networks for cross-domain bearing fault recognition
Yadong Xu, Qiubo Jiang, Sheng Li, et al.
Computers & Industrial Engineering (2024) Vol. 193, pp. 110292-110292
Closed Access | Times Cited: 7
Digital Twin-Assisted Fault Diagnosis of Rotating Machinery Without Measured Fault Data
Jingyan Xia, Ruyi Huang, Jipu Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 7
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
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
Research on a Fault Diagnosis Method for Crankshafts Based on Improved Multi-Scale Permutation Entropy
Fengfeng Bie, Yu Shu, Fengxia Lyu, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 726-726
Open Access | Times Cited: 2
Design and Implementation of Workshop Virtual Simulation Experiment Platform Based on Digital Twin
Jihong Yan, Xiang Li, Siyang Ji
Systems (2024) Vol. 12, Iss. 3, pp. 66-66
Open Access | Times Cited: 2
Research on fault diagnosis of rolling bearing based on improved convolutional neural network with sparrow search algorithm
Min Wan, Yujie Xiao, Jingran Zhang
Review of Scientific Instruments (2024) Vol. 95, Iss. 4
Open Access | Times Cited: 2
Multi-view contrastive learning framework for tool wear detection with insufficient annotated data
Rui Shu, Yadong Xu, Jianliang He, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102666-102666
Closed Access | Times Cited: 2
Early-stage electrical fault identification for traction transformers using vibration signals based on dual-attention convolutional network
Jingjian Yang, Gang Zhang, Zhongbei Tian, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2024) Vol. 2, pp. 471-483
Closed Access | Times Cited: 2
Diagnosis of Autism Spectrum Disorder (ASD) Using Recursive Feature Elimination–Graph Neural Network (RFE–GNN) and Phenotypic Feature Extractor (PFE)
Jiahong Yang, Miaojun Hu, Yao Hu, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9647-9647
Open Access | Times Cited: 6
High-Frequency Workpiece Image Recognition Model Integrating Multi-Level Network Structure
Yang Ou, Chenglong Sun, Rong Yuan, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1982-1982
Open Access | Times Cited: 1
Imbalanced Learning for Gearbox Fault Detection via Attention-based Multireceptive Field Convolutional Neural Networks with An Adaptive Label Regulation Loss
Yadong Xu, Rui Shu, Sheng Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Fast Online Fault Diagnosis for PMSM Based on Adaptation Model
Huanan Hu, Jingwei Gao, Xiangpo Zhang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 24319-24327
Closed Access
Digital twin-driven attention-guided convolutional networks for intelligent fault diagnosis across different domains
Sheng Li, Jianliang He, Rui Shu, et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2024)
Closed Access
Deep learning-based fault diagnosis of planetary gearbox: A systematic review
Hassaan Ahmad, Wei Cheng, Ji Xing, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 730-745
Closed Access
Intelligent fault diagnosis in power distribution networks using LSTM-DenseNet network
Lipeng Ji, Xin Tian, Zhonghao Wei, et al.
Electric Power Systems Research (2024) Vol. 239, pp. 111202-111202
Closed Access
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