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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-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples
Xin Zhang, Tao Huang, Bo Wu, et al.
Frontiers of Mechanical Engineering (2021) Vol. 16, Iss. 2, pp. 340-352
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A literature review of fault diagnosis based on ensemble learning
Zhibao Mian, Xiaofei Deng, Xiaohui Dong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107357-107357
Open Access | Times Cited: 50
Graph features dynamic fusion learning driven by multi-head attention for large rotating machinery fault diagnosis with multi-sensor data
Xin Zhang, Xi Zhang, Jie Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106601-106601
Closed Access | Times Cited: 46
Robust fault diagnosis of quayside container crane gearbox based on 2D image representation in frequency domain and CNN
Jianqun Zhang, Qing Zhang, Xianrong Qin, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 324-342
Closed Access | Times Cited: 24
A novel data-driven method based on sample reliability assessment and improved CNN for machinery fault diagnosis with non-ideal data
Xin Zhang, Haifeng Wang, Bo Wu, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 5, pp. 2449-2462
Closed Access | Times Cited: 33
A novel assessable data augmentation method for mechanical fault diagnosis under noisy labels
Xin Zhang, Bo Wu, Xi Zhang, et al.
Measurement (2022) Vol. 198, pp. 111114-111114
Closed Access | Times Cited: 30
Semi-supervised few-shot fault diagnosis driven by multi-head dynamic graph attention network under speed fluctuations
Li Jiang, Shuaiyu Wang, Tianao Zhang, et al.
Digital Signal Processing (2024) Vol. 151, pp. 104528-104528
Closed Access | Times Cited: 6
Digital twin-assisted gearbox dynamic model updating toward fault diagnosis
Jingyan Xia, Ruyi Huang, Yixiao Liao, et al.
Frontiers of Mechanical Engineering (2023) Vol. 18, Iss. 2
Closed Access | Times Cited: 16
High-Speed Bearing Health Monitoring Method Based on Attention Mechanism Optimized Siamese Deep Residual Network
Jian Duan, Hu Cheng, Hongdi Zhou, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 23191-23200
Closed Access | Times Cited: 12
A numerical simulation enhanced multi-task integrated learning network for fault detection in rotation vector reducers
Hui Wang, Shuhui Wang, Ronggang Yang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 217, pp. 111525-111525
Closed Access | Times Cited: 4
A robust bearing fault diagnosis method based on ensemble learning with adaptive weight selection
Guanghua Fu, X.Z. Wang, Yonghui Liu, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126420-126420
Closed Access
Deep Learning-Based Signal Processing and Prediction for Gas Pressure Regulating Stations
Jie Hao, Chang Yuan, Hongrui Liu, et al.
Journal of Physics Conference Series (2025) Vol. 2999, Iss. 1, pp. 012055-012055
Open Access
Adoptable approaches to predictive maintenance in mining industry: An overview
Oluwatobi Dayo-Olupona, Bekir Genc, Turgay Çelik, et al.
Resources Policy (2023) Vol. 86, pp. 104291-104291
Open Access | Times Cited: 10
A Novel Energy Performance-Based Diagnostic Model for Centrifugal Compressor using Hybrid ML Model
Mukhtiar Ali Shar, Masdi Muhammad, Ainul Akmar Mokhtar, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 11, pp. 14835-14853
Closed Access | Times Cited: 2
A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis
Long Wen, You Wang, Xinyu Li
Frontiers of Mechanical Engineering (2022) Vol. 17, Iss. 2
Closed Access | Times Cited: 10
Robust rotating machinery diagnosis using a dynamic-weighted graph updating strategy
Xin Zhang, Youmin Hu, Jie Liu, et al.
Measurement (2022) Vol. 202, pp. 111895-111895
Closed Access | Times Cited: 10
Rolling Bearing Fault Diagnosis Based On Convolutional Capsule Network
Guang‐Jun Jiang, Dezhi Li, Ke Feng, et al.
Journal of Dynamics Monitoring and Diagnostics (2023)
Open Access | Times Cited: 6
Federated Multi-Model Transfer Learning-Based Fault Diagnosis with Peer-to-Peer Network for Wind Turbine Cluster
Wanqian Yang, Gang Yu
Machines (2022) Vol. 10, Iss. 11, pp. 972-972
Open Access | Times Cited: 8
A noise generative network to reduce the gap between simulation and measurement signals in mechanical fault diagnosis
Hui Wang, Shuhui Wang, Ronggang Yang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108917-108917
Closed Access | Times Cited: 1
An Optimized Dynamic Model Improved Deep Discriminative Transfer Learning Network for Fault Detection in Rotation Vector Reducers
Hui Wang, Shuhui Wang, Ronggang Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110331-110331
Closed Access | Times Cited: 1
Hierarchical Deep Learning for Bearing Fault Detection in BLDC Motors Using Time‐Frequency Analysis
Ahmed K. Ali, Wathiq Rafa Abed
Journal of Electrical and Computer Engineering (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Polynomial neural network based probabilistic hydrodynamic analysis of two-lobe bearings with stochasticity in surface roughness
Biswajit Roy, T. Mukhopadhyay, Sudip Dey
Tribology International (2022) Vol. 174, pp. 107733-107733
Closed Access | Times Cited: 6
Stress–strain-based crack damage detection of composite structures using selective kernel convolutional networks and continuous wavelet transform
Zhipeng Chen, Haiping Zhu, Jun Wu, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 4, pp. 2785-2799
Closed Access | Times Cited: 6
Fault diagnosis of industrial robot gearbox using joint interclass and intraclass mappings
Shuai Yang, Lijie Kong, Ming Hou, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 11, pp. 115108-115108
Closed Access | Times Cited: 4
A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of thin-walled structural components
Long Bai, Fei Xu, Xiao Chen, et al.
Frontiers of Mechanical Engineering (2022) Vol. 17, Iss. 3
Closed Access | Times Cited: 3
Bearing fault diagnosis based on variational autoencoder and non-local block wide kernel convolutional neural network
Li Jiang, Silong Guo, Shunsheng Guo, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 14, pp. 7322-7340
Closed Access
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