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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:

A fault diagnosis method based on one-dimensional data enhancement and convolutional neural network
Yunyao Long, Wuneng Zhou, Yong Luo
Measurement (2021) Vol. 180, pp. 109532-109532
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Deep learning and data augmentation based data imputation for structural health monitoring system in multi-sensor damaged state
Jiale Hou, Huachen Jiang, Chunfeng Wan, et al.
Measurement (2022) Vol. 196, pp. 111206-111206
Closed Access | Times Cited: 46
Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions
Wang Bin, Long Wen, Xinyu Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 29
A Fault Diagnosis Method of Rolling Bearing Based on Improved Recurrence Plot and Convolutional Neural Network
Xiaoping Liu, Lijian Xia, Jian Shi, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 10, pp. 10767-10775
Closed Access | Times Cited: 26
Gearbox fault diagnosis method based on lightweight channel attention mechanism and transfer learning
Xuemin Cheng, Shuihai Dou, Yanping Du, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
An anti-noise one-dimension convolutional neural network learning model applying on bearing fault diagnosis
Fengqian Zou, Haifeng Zhang, Shengtian Sang, et al.
Measurement (2021) Vol. 186, pp. 110236-110236
Closed Access | Times Cited: 54
A digital twin auxiliary approach based on adaptive sparse attention network for diesel engine fault diagnosis
Jiajie Jiang, Hui Li, Zhiwei Mao, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 35
A novel method for rotor fault diagnosis based on deep transfer learning with simulated samples
Ling Xiang, Xingyu Zhang, Zhang Yue, et al.
Measurement (2022) Vol. 207, pp. 112350-112350
Closed Access | Times Cited: 34
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: 29
Structural discrepancy and domain adversarial fusion network for cross-domain fault diagnosis
Fuzheng Liu, Faye Zhang, Xiangyi Geng, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102217-102217
Closed Access | Times Cited: 17
A rolling bearing fault diagnosis method under insufficient samples condition based on MSLSTM transfer learning
Ping Zhang, Debo Liu
Journal of Vibroengineering (2025) Vol. 27, Iss. 1, pp. 93-107
Open Access
A novel multi-scale convolution model based on multi-dilation rates and multi-attention mechanism for mechanical fault diagnosis
Caiyuan Chu, Yongxin Ge, Quan Qian, et al.
Digital Signal Processing (2021) Vol. 122, pp. 103355-103355
Closed Access | Times Cited: 33
A Novel Unsupervised Deep Transfer Learning Method With Isolation Forest for Machine Fault Diagnosis
Jinglun Liang, Qin Liang, Zhaoqian Wu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 235-246
Closed Access | Times Cited: 15
A Fault Early Warning Method Based on Auto-Associative Kernel Regression and Auxiliary Classifier Generative Adversarial Network (AAKR-ACGAN) of Gas Turbine Compressor Blades
Yimin Zhu, Xiaoyi Zhang, Mingyu Luo
Energies (2025) Vol. 18, Iss. 3, pp. 461-461
Open Access
A Frequency Contrastive Learning Method with Few Labeled Data for Fault Diagnosis
Qiujin Liang, Yuhao Jin, Tao Zhang
Lecture notes in electrical engineering (2025), pp. 452-462
Closed Access
A New Method Based on Encoding Data Probability Density and Convolutional Neural Network for Rotating Machinery Fault Diagnosis
Zhang Bo-wen, Xinyu Pang, Peng Zhao, et al.
IEEE Access (2023) Vol. 11, pp. 26099-26113
Open Access | Times Cited: 11
An Improved Fault Diagnosis Method for Rolling Bearings Based on 1D_CNN Considering Noise and Working Condition Interference
Kai Huang, Linbo Zhu, Zhijun Ren, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 383-383
Open Access | Times Cited: 3
An Improved MobileNet Network with Wavelet Energy and Global Average Pooling for Rotating Machinery Fault Diagnosis
Zhu Fu, Chang Liu, Jianwei Yang, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4427-4427
Open Access | Times Cited: 17
Applications of Artificial Intelligence for Fault Diagnosis of Rotating Machines: A Review
Fasikaw Kibrete, Dereje Engida Woldemichael
(2023), pp. 41-62
Closed Access | Times Cited: 9
A Novel Piecewise Cubic Hermite Interpolating Polynomial-Enhanced Convolutional Gated Recurrent Method under Multiple Sensor Feature Fusion for Tool Wear Prediction
Jigang He, Luyao Yuan, Haotian Lei, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1129-1129
Open Access | Times Cited: 3
A novel intelligent bearing fault diagnosis method based on image enhancement and improved convolutional neural network
Guocai Nie, Zhongwei Zhang, Zonghao Jiao, et al.
Measurement (2024), pp. 116148-116148
Closed Access | Times Cited: 3
Rolling bearing fault diagnosis method based on SSAE and softmax classifier with improved K-fold cross-validation
Junxiang Wang, Changshu Zhan, Di Yu, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 10, pp. 105110-105110
Closed Access | Times Cited: 14
Deeppipe: Operating Condition Recognition of Multiproduct Pipeline Based on KPCA-CNN
Chang Wang, Jianqin Zheng, Yongtu Liang, et al.
Journal of Pipeline Systems Engineering and Practice (2022) Vol. 13, Iss. 2
Closed Access | Times Cited: 13
SIFDriveNet: Speed and Image Fusion for Driving Behavior Classification Network
Yan Gong, J. Lu, Wenzhuo Liu, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 1, pp. 1244-1259
Closed Access | Times Cited: 7
State Monitoring Method for Tool Wear in Aerospace Manufacturing Processes Based on a Convolutional Neural Network (CNN)
Wei Dai, Kui Liang, Bin Wang
Aerospace (2021) Vol. 8, Iss. 11, pp. 335-335
Open Access | Times Cited: 16
STG-Net: A COVID-19 prediction network based on multivariate spatio-temporal information
Yucheng Song, Huaiyi Chen, Xiaomeng Song, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104735-104735
Open Access | Times Cited: 5
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