Open Access Helper

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:

Remaining useful life prediction of roller bearings based on improved 1D-CNN and simple recurrent unit
Dechen Yao, Boyang Li, Hengchang Liu, et al.
Measurement (2021) Vol. 175, pp. 109166-109166
Closed Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks
Sujan Ghimire, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Aitazaz A. Farooque, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 194
Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing
Shaojiang Dong, Jiafeng Xiao, Xiaolin Hu, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108914-108914
Closed Access | Times Cited: 85
Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit
Qing Ni, Jinchen Ji, Ke Feng, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109753-109753
Closed Access | Times Cited: 85
Bearing remaining useful life prediction using self-adaptive graph convolutional networks with self-attention mechanism
Yupeng Wei, Dazhong Wu, Janis Terpenny
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 110010-110010
Closed Access | Times Cited: 71
A novel deep learning model integrating CNN and GRU to predict particulate matter concentrations
Zhuoyue Guo, Canyun Yang, Dongsheng Wang, et al.
Process Safety and Environmental Protection (2023) Vol. 173, pp. 604-613
Closed Access | Times Cited: 70
Prediction of bearing remaining useful life based on DACN-ConvLSTM model
Guopeng Zhu, Zening Zhu, Ling Xiang, et al.
Measurement (2023) Vol. 211, pp. 112600-112600
Closed Access | Times Cited: 40
Remaining useful life prediction of bearing based on stacked autoencoder and recurrent neural network
Tian Han, Jiachen Pang, Andy Tan
Journal of Manufacturing Systems (2021) Vol. 61, pp. 576-591
Closed Access | Times Cited: 87
Remaining useful life prediction of rolling bearing based on multi-head attention embedded Bi-LSTM network
Yizhe Shen, Baoping Tang, Biao Li, et al.
Measurement (2022) Vol. 202, pp. 111803-111803
Closed Access | Times Cited: 51
A two-stage data-driven approach to remaining useful life prediction via long short-term memory networks
Huixin Zhang, Xiaopeng Xi, Rong Pan
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109332-109332
Closed Access | Times Cited: 37
A bidirectional recursive gated dual attention unit based RUL prediction approach
Lei Yang, Yuhe Liao, Rongkai Duan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105885-105885
Closed Access | Times Cited: 28
Remaining useful life prediction of bearings based on self-attention mechanism, multi-scale dilated causal convolution, and temporal convolution network
Hao Wei, Qinghua Zhang, Yu Gu
Measurement Science and Technology (2023) Vol. 34, Iss. 4, pp. 045107-045107
Closed Access | Times Cited: 23
Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework
Mozhdeh Jamei, Mehdi Jamei, Mumtaz Ali, et al.
Ecological Informatics (2024) Vol. 80, pp. 102455-102455
Open Access | Times Cited: 10
Residual Convolution Long Short-Term Memory Network for Machines Remaining Useful Life Prediction and Uncertainty Quantification
Wenting Wang, Yaguo Lei, Tao Yan, et al.
Journal of Dynamics Monitoring and Diagnostics (2021) Vol. 1, Iss. 1, pp. 2-8
Open Access | Times Cited: 53
Rapid ultracapacitor life prediction with a convolutional neural network
Chenxu Wang, Rui Xiong, Jinpeng Tian, et al.
Applied Energy (2021) Vol. 305, pp. 117819-117819
Closed Access | Times Cited: 44
RUL Prediction of Rolling Bearings Based on a DCAE and CNN
Chenyang Wang, Wanlu Jiang, Xukang Yang, et al.
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11516-11516
Open Access | Times Cited: 43
A novel series arc fault detection method for photovoltaic system based on multi-input neural network
Xiaoqi Chen, Wei Gao, Hong Cui, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 140, pp. 108018-108018
Closed Access | Times Cited: 29
Remaining Useful Life Prediction of Machinery: A New Multiscale Temporal Convolutional Network Framework
Feiyue Deng, Yan Bi, Yongqiang Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Closed Access | Times Cited: 28
Remaining useful life prediction of bearings with attention-awared graph convolutional network
Yupeng Wei, Dazhong Wu
Advanced Engineering Informatics (2023) Vol. 58, pp. 102143-102143
Open Access | Times Cited: 21
Light convolutional neural network by neural architecture search and model pruning for bearing fault diagnosis and remaining useful life prediction
Diwang Ruan, Jinzhao Han, Jianping Yan, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 19
Multi-scale one-dimensional convolution tool wear monitoring based on multi-model fusion learning skills
Wei Ma, Xianli Liu, Caixu Yue, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 69-98
Closed Access | Times Cited: 19
Local Enhancing Transformer With Temporal Convolutional Attention Mechanism for Bearings Remaining Useful Life Prediction
Huachao Peng, Bin Jiang, Zehui Mao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 18
Bearing remaining useful life prediction with an improved CNN-LSTM network using an artificial gorilla troop optimization algorithm
Yonghua Li, Zhe Chen, Chaoqun Hu, et al.
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2024)
Closed Access | Times Cited: 6
A Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Reinforcement Learning
Zheng Guokang, Yasong Li, Zheng Zhou, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22938-22949
Closed Access | Times Cited: 6
A methodology for state of health estimation of battery using short-time working condition aging data
Zhipeng Jiao, Jian Ma, Xuan Zhao, et al.
Journal of Energy Storage (2024) Vol. 82, pp. 110480-110480
Closed Access | Times Cited: 5
TCRSCANet: Harnessing Temporal Convolutions and Recurrent Skip Component for Enhanced RUL Estimation in Mechanical Systems
Abdul Wahid, John G. Breslin, Muhammad Intizar Ali
Human-Centric Intelligent Systems (2024) Vol. 4, Iss. 1, pp. 1-24
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top