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:

Bearing fault diagnosis by combining a deep residual shrinkage network and bidirectional LSTM
Yizhi Tong, Ping Wu, Jiajun He, et al.
Measurement Science and Technology (2021) Vol. 33, Iss. 3, pp. 034001-034001
Closed Access | Times Cited: 25

Showing 25 citing articles:

A novel approach for bearings multiclass fault diagnosis fusing multiscale deep convolution and hybrid attention networks
Fule Li, Xinlong Zhao
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 045017-045017
Closed Access | Times Cited: 8

Advanced fault diagnostics in rotating machinery: A deep learning approach using octave theory of dynamic vibration signals
Dawei Zhang, Shuai Shao, Xuan Zhao, et al.
Journal of Vibration and Control (2025)
Closed Access

Deep transfer learning rolling bearing fault diagnosis method based on convolutional neural network feature fusion
Di Yu, H.C. Fu, Yanchen Song, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015013-015013
Closed Access | Times Cited: 12

Research on the "shape-performance-control" integrated digital twin system for boom-type roadheaders
Jianzhuo Zhang, Chuanxu Wan, Jie Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Fault diagnosis of pressure relief valve based on improved deep Residual Shrinking Network
Hao Yin, He Xu, Weiwang Fan, et al.
Measurement (2023) Vol. 224, pp. 113752-113752
Closed Access | Times Cited: 10

Prediction of the creeping of AFC based on fuzzy reasoning and Bi-LSTM fusion iteration
Suhua Li, Jiacheng Xie, Xuewen Wang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 3

Discrete entropy-based health indicator and LSTM for the forecasting of bearing health
Yuqing Zhou, Anil Kumar, Chander Parkash, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 2
Closed Access | Times Cited: 8

Fault diagnosis of rolling bearing under limited samples using joint learning network based on local-global feature perception
Bin Liu, Changfeng Yan, Zonggang Wang, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 7, pp. 3409-3425
Closed Access | Times Cited: 6

A novel multi-scale competitive network for fault diagnosis in rotating machinery
Zhiwu Huang, Xinlong Zhao
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107441-107441
Closed Access | Times Cited: 6

LGMA-DRSN: a lightweight convex global multi-attention deep residual shrinkage network for fault diagnosis
Zhijin Zhang, Chunlei Zhang, Lei Chen, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115011-115011
Closed Access | Times Cited: 5

Research on remaining useful life of rolling bearings using EWT-DI-ALSTM
Runxia Guo, Bo Gong
Measurement Science and Technology (2022) Vol. 33, Iss. 9, pp. 095104-095104
Closed Access | Times Cited: 8

Feature Extraction Using Refined Composite Hierarchical Fuzzy Dispersion Entropy and Its Applications to Bearing Fault Diagnosis
Yuanyuan Zhou, Hang Wang, Yongbin Liu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 26115-26125
Closed Access | Times Cited: 1

Using a Minimalist Bi-LSTM for Multi-Faceted Bearing Fault Detection
Alexandros Noussis, A. F. M. Saif, Abdelhakim Khatab, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 19, pp. 1258-1263
Open Access | Times Cited: 1

Fault diagnosis in hydropower units based on chaotic Kepler optimization algorithm-enhanced BiLSTM model
Yujia Chen, Jianlan Wang, Weidong Chen, et al.
Energy Reports (2024) Vol. 12, pp. 5163-5176
Closed Access | Times Cited: 1

A Rolling Bearing Fault Diagnosis Method Based on Enhanced Integrated Filter Network
Kang Wu, Jie Tao, Dalian Yang, et al.
Machines (2022) Vol. 10, Iss. 6, pp. 481-481
Open Access | Times Cited: 6

A Deep Learning Approach for Icing Detection on Wind Turbine Blades Using Acoustic Signals
Bingchuan Sun, Hongmei Cui, Jie He, et al.
(2024)
Closed Access

Blockchain and IoT integration for secure short-term and long-term air quality monitoring system using optimized neural network
Balasubramanian Chinnappan, K.M. Hakim, Neelam Sanjeev Kumar, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 27, pp. 39372-39387
Closed Access

Recognition of Lateral Driving Scenario for Highway Bridge Monitoring Based on UWFBG
Xiaorui Li, Na Li, Jingwei Sun, et al.
Lecture notes in electrical engineering (2024), pp. 77-85
Closed Access

Multidomain neural process model based on source attention for industrial robot anomaly detection
Bo Yang, Yuhang Huang, Jian Jiao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102910-102910
Closed Access

Impact of Data Leakage in Vibration Signals used for Bearing Fault Diagnosis
L.L. Wheat, Martin v. Mohrenschildt, Saeid Habibi, et al.
IEEE Access (2024) Vol. 12, pp. 169879-169895
Open Access

Research on temperature prediction of shearer cable based on bidirectional long short-term memory
Lijuan Zhao, G. Lin, Yadong Wang, et al.
International Journal of Thermal Sciences (2024) Vol. 210, pp. 109597-109597
Closed Access

Bi-TAM-Net framework: Fault diagnosis for insulated bearing based on new noise-resistant time-series framework
Xingyuan Huang, Tongguang Yang, Dianjun Yang, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016112-016112
Closed Access

Deep residual shrinkage networks with adaptively convex global parametric rectifier linear units for fault diagnosis
Zhijin Zhang, Chunlei Zhang, Xin Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025023-025023
Closed Access

Performance Comparison of Multiple Neural Networks for Fault Detection of Sensors Array in Oil Heating Reactor
Mai Mustafa, Sawsan Morkos Gharghory, Hanan Ahmed Kamal
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 12
Open Access

Page 1

Scroll to top