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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 method for rapidly evaluating reliability and predicting remaining useful life using two-dimensional convolutional neural network with signal conversion
Qibin Wang, Bo Zhao, Hongbo Ma, et al.
Journal of Mechanical Science and Technology (2019) Vol. 33, Iss. 6, pp. 2561-2571
Closed Access | Times Cited: 56

Showing 26-50 of 56 citing articles:

A robust construction of normalized CNN for online intelligent condition monitoring of rolling bearings considering variable working conditions and sources
Bo Zhao, Xianmin Zhang, Zhenhui Zhan, et al.
Measurement (2021) Vol. 174, pp. 108973-108973
Closed Access | Times Cited: 29
A linear mapping method for predicting accurately the RUL of rolling bearing
Qibin Wang, Kun Xu, Xianguang Kong, et al.
Measurement (2021) Vol. 176, pp. 109127-109127
Closed Access | Times Cited: 28
A remaining useful life prediction method based on time–frequency images of the mechanical vibration signals
Xianjun Du, Wenchao Jia, Ping Yu, et al.
Measurement (2022) Vol. 202, pp. 111782-111782
Closed Access | Times Cited: 20
Intelligent fault diagnosis of hydroelectric units based on radar maps and improved GoogleNet by depthwise separate convolution
Yunhe Wang, Yidong Zou, Wenqing Hu, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025103-025103
Closed Access | Times Cited: 12
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
A feature fusion-based prognostics approach for rolling element bearings
Ugochukwu Ejike Akpudo, Jang-Wook Hur
Journal of Mechanical Science and Technology (2020) Vol. 34, Iss. 10, pp. 4025-4035
Closed Access | Times Cited: 28
Bearing remaining useful life prediction of fatigue degradation process based on dynamic feature construction
Hongqiu Zhu, Ziyi Huang, Biliang Lu, et al.
International Journal of Fatigue (2022) Vol. 164, pp. 107169-107169
Closed Access | Times Cited: 17
A multi-model data-fusion based deep transfer learning for improved remaining useful life estimation for IIOT based systems
Sourajit Behera, Rajiv Misra
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105712-105712
Closed 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: 10
Intelligent fatigue damage tracking and prognostics of composite structures utilizing raw images via interpretable deep learning
Panagiotis Komninos, A.E.C. Verraest, Nick Eleftheroglou, et al.
Composites Part B Engineering (2024), pp. 111863-111863
Open Access | Times Cited: 3
Detection for weak fault in planetary gear trains based on an improved maximum correlation kurtosis deconvolution
Jianqun Zhang, Min Zhong, Jun Zhang
Measurement Science and Technology (2019) Vol. 31, Iss. 2, pp. 025101-025101
Closed Access | Times Cited: 27
A New Fault Diagnosis Method for Unbalanced Data Based on 1DCNN and L2-SVM
Baoquan Hu, Jun Liu, Rongzhen Zhao, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9880-9880
Open Access | Times Cited: 13
Intelligent fault diagnosis of rolling bearings based on continuous wavelet transform-multiscale feature fusion and improved channel attention mechanism
Jiqiang Zhang, Xiangwei Kong, Cheng Liu, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023)
Open Access | Times Cited: 7
An Efficient Method for Monitoring Degradation and Predicting the Remaining Useful Life of Mechanical Rotating Components
Jingli Yang, Shuangyan Yin, Yongqi Chang, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-14
Closed Access | Times Cited: 20
Reliability analysis of rolling bearings considering internal clearance
Aodi Yu, Hong‐Zhong Huang, He Li, et al.
Journal of Mechanical Science and Technology (2020) Vol. 34, Iss. 10, pp. 3963-3971
Closed Access | Times Cited: 18
Remaining useful life prediction of planet bearings based on conditional deep recurrent generative adversarial network and action discovery
Jun Yu, Zhenyu Guo
Journal of Mechanical Science and Technology (2021) Vol. 35, Iss. 1, pp. 21-30
Closed Access | Times Cited: 16
Remaining Useful Life Prediction of Rolling Bearings Using Electrostatic Monitoring Based on Two-Stage Information Fusion Stochastic Filtering
Ying Zhang, Anchen Wang
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-12
Open Access | Times Cited: 17
Cascade Fusion Convolutional Long-Short Time Memory Network for Remaining Useful Life Prediction of Rolling Bearing
Qiong Wu, Changsheng Zhang
IEEE Access (2020) Vol. 8, pp. 32957-32965
Open Access | Times Cited: 16
All-terminal network reliability estimation using convolutional neural networks
Alex Davila-Frias, Om Prakash Yadav
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2020) Vol. 236, Iss. 4, pp. 584-597
Closed Access | Times Cited: 15
A zero-sample intelligent fault diagnosis method for bearings based on category relationship model
Qibin Wang, Ni Liu, Junji Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107739-107739
Closed Access | Times Cited: 5
An Improved PF Remaining Useful Life Prediction Method Based on Quantum Genetics and LSTM
Yang Ge, Lining Sun, Jiaxin Ma
IEEE Access (2019) Vol. 7, pp. 160241-160247
Open Access | Times Cited: 13
Remaining useful life prediction of bearings with different failure types based on multi-feature and deep convolution transfer learning
Chenchen Wu, Hongchun Sun, Senmiao Lin, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2021) Vol. 23, Iss. 4, pp. 685-694
Open Access | Times Cited: 11
Probabilistic fatigue life prediction of bearings via the generalized polynomial chaos expansion
Aodi Yu, Yan‐Feng Li, Hong‐Zhong Huang, et al.
Journal of Mechanical Science and Technology (2022) Vol. 36, Iss. 10, pp. 4885-4894
Closed Access | Times Cited: 5
Optimizing CNN hyperparameters with genetic algorithms for face mask usage classification
Awang Hendrianto Pratomo, Nur Heri Cahyana, Septi Nur Indrawati
Science in Information Technology Letters (2023) Vol. 4, Iss. 1, pp. 54-64
Open Access | Times Cited: 2
Quality-Achieving Reliability Assessment of Rolling Bearing Based on Bootstrap Maximum Entropy Method and Similarity Method
Li Cheng, Wensuo Ma, Xintao Xia, et al.
Science Progress (2022) Vol. 105, Iss. 2
Open Access | Times Cited: 4

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