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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 26-50 of 55 citing articles:

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
Fast inspection and accurate recognition of target objects for astronaut robots through deep learning
Yan Zhang, Manhong Li, Minglu Zhang, et al.
Measurement (2023) Vol. 213, pp. 112687-112687
Closed Access | Times Cited: 5
Fault Diagnosis Model for Bearings under Multiple Operating Conditions Based on Feature Parameterization Weighting
Linghui Meng, Jinyang Xie, Zhenwei Zhou, et al.
Electronics (2024) Vol. 13, Iss. 11, pp. 2153-2153
Open Access | Times Cited: 1
Data enhanced lightweight network-based prediction of cold-rolled steel mechanical properties
Qiwen Zhang, Wenkui Wu, Xingchang Tang
Materials Today Communications (2024) Vol. 40, pp. 109640-109640
Closed Access | Times Cited: 1
Fault Diagnosis of Bearings Using MSCPCNN with Limited Samples
Pan Xie, Yan Tong
(2024), pp. 2056-2060
Closed Access | Times Cited: 1
A multi-task learning approach for chemical process abnormity locations and fault classifications
Wenlei Zhao, Jince Li, Hongguang Li
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 233, pp. 104719-104719
Closed Access | Times Cited: 7
Diagnosing Improper Membrane Water Content in Proton Exchange Membrane Fuel Cell Using Two-Dimensional Convolutional Neural Network
Heng Zhang, Zhongyong Liu, Weilai Liu, et al.
Energies (2022) Vol. 15, Iss. 12, pp. 4247-4247
Open Access | Times Cited: 6
Fusing information entropy and similarity: A novel active learning strategy for chemical process fault classifications
Shuhui Wu, Zihao Zhao, Min Yin, et al.
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 237, pp. 104821-104821
Closed Access | Times Cited: 3
Fault Diagnosis of Rolling Bearings Based on the Improved Symmetrized Dot Pattern Enhanced Convolutional Neural Networks
Xiaoping Liu, Lijian Xia, Jian Shi, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 2, pp. 1897-1908
Closed Access | Times Cited: 3
An efficient big data classification using elastic collision seeker optimization based faster R-CNN
S. Chidambaram, C. Pretty Diana Cyril, S. Sankar Ganesh
Neural Computing and Applications (2023) Vol. 35, Iss. 26, pp. 19651-19668
Closed Access | Times Cited: 3
Research and application of cross validation of fault diagnosis for measurement channels
Yongwei Chen, Runfeng Liu, Yonggang Li, et al.
Progress in Nuclear Energy (2022) Vol. 150, pp. 104324-104324
Closed Access | Times Cited: 5
ECNN: Intelligent Fault Diagnosis Method Using Efficient Convolutional Neural Network
Chao Zhang, Qixuan Huang, Chaoyi Zhang, et al.
Actuators (2022) Vol. 11, Iss. 10, pp. 275-275
Open 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
Predictive monitoring of built thermal environment using limited sensor data: A deep learning-based spatiotemporal method
Yue Li, Zheming Tong, Dane Westerdahl, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 66, pp. 103823-103823
Closed Access
Research on rolling bearing fault diagnosis method based on simulation and experiment fusion drive
Yonghua Li, Wang Deng-Long, Xin Zhao, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 6
Closed Access
Digital Twin Information Model and Measured Data Fusion Based Bearing Fault Diagnosis
Cunsong Wang, Wenbin Pan, Chengjun Zhang, et al.
(2024)
Closed Access
A Hybrid Supervised Approach for Fault Diagnosis Based on Temporal and Frequency Domains
Qiujin Liang, Tao Zhang
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 2577-2582
Closed Access
MARNet: Multi-head attention residual network for rolling bearing fault diagnosis under noisy condition
Linfeng Deng, Guojun Wang, Cheng Zhao, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 19, pp. 9726-9747
Closed Access
Fault diagnosis of rolling bearing based on adaptive attention network and federated learning
Bowen Zheng, Dinghui Wu, Junyan Fan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116204-116204
Closed Access
Time-varying speed fault diagnosis based on dual-channel parallel multi-scale information
Hongchao Wang, Guoqing Xue, Yu Li, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 11, pp. 5961-5978
Closed Access
Hydraulic System Fault Diagnosis Based on Dual‐Channel Convolutional Neural Network and Improved D‐S Evidence Theory
Jiyang Qi, Qi Yue, Shenghua Luo, et al.
Shock and Vibration (2024) Vol. 2024, Iss. 1
Open Access
A rolling bearing fault diagnosis method based on GADF-CWT-GCNN
Zhang Xiao-li, Xin Luo, Min Li, et al.
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University (2024) Vol. 42, Iss. 5, pp. 866-874
Open Access
Bearing Fault Diagnosis Based on Dynamic Convolution and Multi-scale Gradient Information Aggregation Under Variable Working Conditions
Yimeng Long, Zhaowei Shang, Lingzhi Zhao
Communications in computer and information science (2023), pp. 249-263
Closed Access | Times Cited: 1
Research and Application of Cross Validation of Fault Diagnosis for Measurement Channels
Yongwei Chen, Runfeng Liu, Yonggang Li, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
A Fault Diagnosis Method for High-Speed Train Wheelset Bearings Based on Deep Learning
Zheng Hu, Libin Tan, Xiaoliu Yu
2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) (2022), pp. 656-660
Closed Access | Times Cited: 1

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