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:

Showing 1-25 of 28 citing articles:

A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration Signals
Muhammad Altaf, Tallha Akram, Muhammad Attique Khan, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 2012-2012
Open Access | Times Cited: 101

A signal recovery method for bridge monitoring system using TVFEMD and encoder-decoder aided LSTM
Jingzhou Xin, Chaoying Zhou, Yan Jiang, et al.
Measurement (2023) Vol. 214, pp. 112797-112797
Closed Access | Times Cited: 64

Fault Diagnosis of Wind Turbine Bearings Based on CNN and SSA–ELM
Xiaoyue Liu, Zeming Zhang, Fanwei Meng, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 8, pp. 3929-3945
Closed Access | Times Cited: 26

Vibration Image Representations for Fault Diagnosis of Rotating Machines: A Review
Hosameldin Ahmed, Asoke K. Nandi
Machines (2022) Vol. 10, Iss. 12, pp. 1113-1113
Open Access | Times Cited: 19

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

Multiscale attention feature fusion network for rolling bearing fault diagnosis under variable speed conditions
Jiayi Shen, Dongfang Zhao, Shulin Liu, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 523-535
Closed Access | Times Cited: 2

Histogram-Based Gradient Boosting Tree: A Federated Learning Approach for Collaborative Fault Diagnosis
Liqiao Xia, Pai Zheng, Jinjie Li, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 4, pp. 2637-2648
Closed Access | Times Cited: 6

Fault diagnosis of rolling bearing under time-varying speed conditions based on EfficientNetv2
Haoyang Qu, Jianhua Yang, Mengen Shen, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 6, pp. 065023-065023
Closed Access | Times Cited: 10

Parallel adversarial feature learning and enhancement of feature discriminability for fault diagnosis of a planetary gearbox under time-varying speed conditions
Chuan Zhao, Yinglin Zhang
Measurement Science and Technology (2022) Vol. 33, Iss. 12, pp. 125019-125019
Closed Access | Times Cited: 9

Machine Fault Diagnosis Using EMD-Gammatone Texture Representation and A Lightweight Self-Attention SqueezeNet
Mahe Zabin, Anika Nahian Binte Kabir, Muhammad Khubayeeb Kabir, et al.
(2024), pp. 32-39
Closed Access | Times Cited: 1

A bearing fault detection and remaining useful life prediction method based on a multi-branch residual feature fusion mechanism and optimized weight allocation
Yiran Yao, Tao Liang, Jianxin Tan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025906-025906
Closed Access | Times Cited: 4

Fault Prediction in Electric Power Communication Network Based on Improved DenseNet
Peng Gao, Li Guan, Jiakai Hao, et al.
2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) (2023) Vol. 30, pp. 1-6
Closed Access | Times Cited: 3

Fault Diagnosis of Rolling Bearings Based on Spectral Kurtosis Graph and LFMB Network
Xiaogang Huang, Haoyang Qu, Meilei Lv, et al.
Russian Journal of Nondestructive Testing (2023) Vol. 59, Iss. 8, pp. 886-901
Closed Access | Times Cited: 3

Fault diagnosis for rolling bearing of road heading machine via SVDS-ICNN
Xiaofei Qu, Yongkang Zhang, Yin Li
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 8
Open Access | Times Cited: 2

Fault Diagnosis Based on HBA-MCKD-MFFR for Hydroelectric Power Units
Yu Gong, Xuan Liu, Mingxuan Yang, et al.
(2024), pp. 1-6
Closed Access

Machine Fault Diagnosis: Experiments with Different Attention Mechanisms Using a Lightweight SqueezeNet Architecture
Mahe Zabin, Ho‐Jin Choi, Muhammad Kubayeeb Kabir, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3112-3112
Open Access

Fault Diagnosis of Wind Turbine Rolling Bearings Based on DCS-EEMD-SSA
Jing Zhu, Ou Li, Minghui Chen, et al.
Journal of Failure Analysis and Prevention (2024) Vol. 24, Iss. 5, pp. 2495-2508
Closed Access

Research on CNN-Attention Regression Prediction Method Based on GOA Optimization
Wenhui Guan, Binbin Li, Shijie Xue, et al.
Mechanisms and machine science (2024), pp. 209-219
Closed Access

Image representation of vibration signals and its application on fault diagnosis of rotating machinery with convolutional neural network: A benchmak study
J. Yuan, Qing Zhang, Jianqun Zhang, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024)
Closed Access

Deep Residual Shrinkage Network With Time-Frequency Features For Bearing Fault Diagnosis
Guoxuan Ma, Junnan Zhuo, Wei Gao, et al.
2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) (2022), pp. 1-6
Closed Access | Times Cited: 2

An Improved Similarity Trajectory Method Based on Monitoring Data under Multiple Operating Conditions
Jiancheng Yin, Yuqing Li, Rixin Wang, et al.
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 10968-10968
Open Access | Times Cited: 1

Page 1 - Next Page

Scroll to top