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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:

Bearing Fault Diagnosis Based on Multiple Transformation Domain Fusion and Improved Residual Dense Networks
Jiedi Sun, Jiangtao Wen, Caiyan Yuan, et al.
IEEE Sensors Journal (2021) Vol. 22, Iss. 2, pp. 1541-1551
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

A novel adaptive generalized domain data fusion-driven kernel sparse representation classification method for intelligent bearing fault diagnosis
Lingli Cui, Zhichao Jiang, Dongdong Liu, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123225-123225
Closed Access | Times Cited: 27
A motor bearing fault voiceprint recognition method based on Mel-CNN model
Shuaijie Shan, Jianbao Liu, Shuguang Wu, et al.
Measurement (2022) Vol. 207, pp. 112408-112408
Open Access | Times Cited: 48
Train bearing fault diagnosis based on multi-sensor data fusion and dual-scale residual network
Deqiang He, Zhenpeng Lao, Zhenzhen Jin, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 16, pp. 14901-14924
Closed Access | Times Cited: 33
Multiscale Fusion Attention Convolutional Neural Network for Fault Diagnosis of Aero-Engine Rolling Bearing
Xiaolin Liu, Jiani Lu, Zhuo Li
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 19918-19934
Closed Access | Times Cited: 24
Transfer learning rolling bearing fault diagnosis model based on deep feature decomposition and class-level alignment
Jingchuan Dong, Hongyu Jiang, Depeng Su, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046006-046006
Closed Access | Times Cited: 8
Clustering-Guided Novel Unsupervised Domain Adversarial Network for Partial Transfer Fault Diagnosis of Rotating Machinery
Hongru Cao, Haidong Shao, Bin Liu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 14, pp. 14387-14396
Open Access | Times Cited: 32
A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy
Changqing Shen, Jing Tian, Jun Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 19
Ensemble Multiple Distinct ResNet Networks With Channel-Attention Mechanism for Multisensor Fault Diagnosis of Hydraulic Systems
Xiangyu Peng, Huoyao Xu, Junlang Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 10, pp. 10706-10717
Closed Access | Times Cited: 16
Spatial-temporal graph feature learning driven by time–frequency similarity assessment for robust fault diagnosis of rotating machinery
Lei Wang, Fuchen Xie, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102711-102711
Closed Access | Times Cited: 6
Bearing Fault Diagnosis Based on Mel Frequency Cepstrum Coefficient and Deformable Space-Frequency Attention Network
Yunji Zhao, Nannan Zhang, Zhihao Zhang, et al.
IEEE Access (2023) Vol. 11, pp. 34407-34420
Open Access | Times Cited: 14
Multi-scale split dual calibration network with periodic information for interpretable fault diagnosis of rotating machinery
Yongyi Chen, Dan Zhang, Hongjie Ni, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106181-106181
Closed Access | Times Cited: 14
Physics-informed Time-Frequency Fusion Network with Attention for Noise-Robust Bearing Fault Diagnosis
Yejin Kim, Young‐Keun Kim
IEEE Access (2024) Vol. 12, pp. 12517-12532
Open Access | Times Cited: 5
SVM bearing fault diagnosis based on fast inter-class distance in the feature space and DMPSO algorithm
Renwang Song, Baiqian Yu, Lei Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 055125-055125
Closed Access | Times Cited: 5
Interpretable quadratic convolutional residual neural network for bearing fault diagnosis
Zhiyong Luo, Shuping Pan, Xin Dong, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2025) Vol. 47, Iss. 4
Closed Access
In-situ fault detection for the spindle motor of CNC machines via multi-stage residual fusion convolution neural networks
Yiming He, Hua Xiang, Hao Zhou, et al.
Computers in Industry (2022) Vol. 145, pp. 103810-103810
Closed Access | Times Cited: 21
Improved Variational Mode Decomposition and CNN for Intelligent Rotating Machinery Fault Diagnosis
Qiyang Xiao, Sen Li, Lin Zhou, et al.
Entropy (2022) Vol. 24, Iss. 7, pp. 908-908
Open Access | Times Cited: 19
Fault Diagnosis of Wind Turbine Gearbox Based on Multiscale Residual Features and ECA-Stacked ResNet
Xunlong Yin, Zonglei Mou, Youqing Wang
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7320-7333
Closed Access | Times Cited: 12
Bearing fault diagnosis of wind turbines based on dynamic multi-adversarial adaptive network
Miao Tian, Xiaoming Su, Changzheng Chen, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 4, pp. 1637-1651
Closed Access | Times Cited: 12
Fault Diagnosis and Fault Tolerant Control of Wind Turbines: An Overview
Afef Fekih, Hamed Habibi, Silvio Simani
Energies (2022) Vol. 15, Iss. 19, pp. 7186-7186
Open Access | Times Cited: 18
Fault diagnosis method for imbalanced data of rotating machinery based on time domain signal prediction and SC-ResNeSt
Haitao Wang, Yifan Guo, Xiang Liu, et al.
IEEE Access (2023) Vol. 11, pp. 38875-38893
Open Access | Times Cited: 10
Fault Diagnosis of Conventional Circuit Breaker Accessories Based on Grayscale Image of Current Signal and Improved ZFNet-DRN
Shuguang Sun, Liang Sun, Jingqin Wang, et al.
IEEE Sensors Journal (2022) Vol. 23, Iss. 2, pp. 1343-1356
Closed Access | Times Cited: 15
Adaptive resize-residual deep neural network for fault diagnosis of rotating machinery
Li Zou, Heung‐Fai Lam, Jun Hu
Structural Health Monitoring (2022) Vol. 22, Iss. 4, pp. 2193-2213
Closed Access | Times Cited: 14
A Multi-Scale Attention Mechanism Based Domain Adversarial Neural Network Strategy for Bearing Fault Diagnosis
Quanling Zhang, Ningze Tang, Xing Fu, et al.
Actuators (2023) Vol. 12, Iss. 5, pp. 188-188
Open Access | Times Cited: 8
Improved lightweight federated learning network for fault feature extraction of reciprocating machinery
Junling Zhang, Lixiang Duan, Ke Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 045115-045115
Closed Access | Times Cited: 2
A Novel Small Sample Fault Diagnosis Method for Rolling Bearings via Continuous Wavelet Transform and Siamese Neural Network
Xufeng Zhao, Lubing Wang, Mengshu Yang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 24988-24996
Closed Access | Times Cited: 2
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