Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions
Mohammadreza Kavianpour, Amin Ramezani, Mohammad Taghi Hamidi Beheshti
Measurement (2022) Vol. 199, pp. 111536-111536
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Spatial graph convolutional neural network via structured subdomain adaptation and domain adversarial learning for bearing fault diagnosis
Mohammadreza Ghorvei, Mohammadreza Kavianpour, Mohammad Taghi Hamidi Beheshti, et al.
Neurocomputing (2022) Vol. 517, pp. 44-61
Open Access | Times Cited: 77
A CNN-BiLSTM model with attention mechanism for earthquake prediction
Parisa Kavianpour, Mohammadreza Kavianpour, Ehsan Jahani, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 17, pp. 19194-19226
Open Access | Times Cited: 61
A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions
Rui Wang, Weiguo Huang, Yixiang Lu, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109463-109463
Open Access | Times Cited: 43
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation
Bin Yang, Yaguo Lei, Xiang Li, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 4, pp. 932-945
Closed Access | Times Cited: 20
Semi-supervised learning for industrial fault detection and diagnosis: A systemic review
José Miguel Ramírez‐Sanz, Jose-Alberto Maestro-Prieto, Álvar Arnaiz‐González, et al.
ISA Transactions (2023) Vol. 143, pp. 255-270
Open Access | Times Cited: 36
A new unsupervised health index estimation method for bearings early fault detection based on Gaussian mixture model
Long Wen, Guang Yang, Longxin Hu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107562-107562
Closed Access | Times Cited: 28
On the effects of data normalization for domain adaptation on EEG data
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106205-106205
Open Access | Times Cited: 24
Deep Learning for Time-Series Prediction in IIoT: Progress, Challenges, and Prospects
Lei Ren, Zidi Jia, Yuanjun Laili, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023), pp. 1-20
Open Access | Times Cited: 22
A deep targeted transfer network with clustering pseudo-label learning for fault diagnosis across different Machines
Feiyu Lu, Qingbin Tong, Xuedong Jiang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 213, pp. 111344-111344
Closed Access | Times Cited: 11
Latest innovations in the field of condition-based maintenance of rotatory machinery: a review
Anil Kumar, Chander Parkash, Hesheng Tang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 022003-022003
Closed Access | Times Cited: 20
A graph neural network-based data cleaning method to prevent intelligent fault diagnosis from data contamination
Shuhui Wang, Yaguo Lei, Bin Yang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107071-107071
Closed Access | Times Cited: 18
Fault Location Algorithm for Distribution Network With Distributed Generation Based on Domain‐Adaptive TGATv2
Tong Lu, S. Hou
IET Generation Transmission & Distribution (2025) Vol. 19, Iss. 1
Open Access
Intelligent fault diagnosis of rolling bearings based on the visibility algorithm and graph neural networks
Shaohui Ning, Yonglei Ren, Yukun Wu
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 2
Closed Access | Times Cited: 13
Dynamic Simulation Model-Driven Fault Diagnosis Method for Bearing under Missing Fault-Type Samples
Junqing Ma, Xingxing Jiang, Baokun Han, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 2857-2857
Open Access | Times Cited: 13
Triplet adversarial Learning-driven graph architecture search network augmented with Probsparse-attention mechanism for fault diagnosis under Few-shot & Domain-shift
Yuanhong Chang, Jinglong Chen, Weiguang Zheng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110462-110462
Closed Access | Times Cited: 13
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: 4
A multi-scale graph-guided dynamic enhanced alignment network for mechanical fault diagnosis considering domain shift and data imbalance
Xiaoxuan Fan, Lixiang Duan, Na Zhang
Neurocomputing (2025), pp. 129546-129546
Closed Access
Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy
Rui Wang, Weiguo Huang, Xiao Zhang, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111093-111093
Closed Access | Times Cited: 11
Novel imbalanced subdomain adaption multiscale convolutional network for cross-domain unsupervised fault diagnosis of rolling bearings
Tianlong Huo, Linfeng Deng, Bo Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015905-015905
Closed Access | Times Cited: 9
Novel Adversarial Unsupervised Subdomain Adaption Multi-Channel Deep Convolutional Network for Cross-Operating Fault Diagnosis of Rolling Bearings
B. Zhang, Tianlong Huo, Zheng Liu, et al.
IEEE Access (2024) Vol. 12, pp. 42068-42082
Open Access | Times Cited: 3
DDAGCN: an unsupervised cross-domain identification method for tie rod bolt loosening in a rod-fastening rotor system under different working conditions
Chen Zhou, Jun He, Shixi Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076202-076202
Closed Access | Times Cited: 3
Innovative integration of multi-scale residual networks and MK-MMD for enhanced feature representation in fault diagnosis
Xueyi Li, Peng Yuan, Kaiyu Su, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086108-086108
Closed Access | Times Cited: 3
Rotating machinery fault diagnosis based on feature extraction via an unsupervised graph neural network
Jing Feng, Shouyang Bao, Xiaobin Xu, et al.
Applied Intelligence (2023) Vol. 53, Iss. 18, pp. 21211-21226
Closed Access | Times Cited: 8
Fault diagnosis of anti-friction bearings based on Bi-dimensional ensemble local mean decomposition and optimized dynamic least square support vector machine
Zhengqiang Xiong, Chang Han, Guorong Zhang
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
A data-driven adaptive algorithm and decision support design of multisensory information fusion for prognostics and health management applications
Tingli Xie, Xufeng Huang, Hyung Wook Park, et al.
Journal of Engineering Design (2023) Vol. 34, Iss. 2, pp. 158-179
Closed Access | Times Cited: 7
Page 1 - Next Page

Scroll to top