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:

Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics
Yiwei Wang, Lei Deng, Lianyu Zheng, et al.
Journal of Manufacturing Systems (2021) Vol. 60, pp. 512-526
Closed Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods
Carlos Ferreira, Gil Gonçalves
Journal of Manufacturing Systems (2022) Vol. 63, pp. 550-562
Open Access | Times Cited: 163
Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application
Haixin Lv, Jinglong Chen, Tongyang Pan, et al.
Measurement (2022) Vol. 199, pp. 111594-111594
Closed Access | Times Cited: 148
Intelligent tool wear monitoring and multi-step prediction based on deep learning model
Minghui Cheng, Jiao Li, Pei Yan, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 286-300
Closed Access | Times Cited: 127
A hybrid prognosis scheme for rolling bearings based on a novel health indicator and nonlinear Wiener process
Junyu Guo, Zhiyuan Wang, He Li, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110014-110014
Open Access | Times Cited: 47
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process
Xuebing Li, Xianli Liu, Caixu Yue, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 19-38
Closed Access | Times Cited: 16
RUL Prediction of Wind Turbine Gearbox Bearings Based on Self-Calibration Temporal Convolutional Network
Ke B. He, Zuqiang Su, Xiaoqing Tian, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 62
Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model
Wanmeng Ding, Jimeng Li, Weilin Mao, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109072-109072
Closed Access | Times Cited: 53
Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions
Wanxiang Li, Zhiwu Shang, Maosheng Gao, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108722-108722
Closed Access | Times Cited: 40
Remaining useful life prediction via a deep adaptive transformer framework enhanced by graph attention network
Pengfei Liang, Ying Li, Bin Wang, et al.
International Journal of Fatigue (2023) Vol. 174, pp. 107722-107722
Closed Access | Times Cited: 36
A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder
Wanxiang Li, Zhiwu Shang, Jie Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106312-106312
Closed Access | Times Cited: 27
Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment
Lijie Zhang, Bin Wang, Pengfei Liang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102211-102211
Closed Access | Times Cited: 27
A deep learning based health indicator construction and fault prognosis with uncertainty quantification for rolling bearings
Zhiyuan Wang, Junyu Guo, Jiang Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105105-105105
Closed Access | Times Cited: 22
Dynamic weighted federated remaining useful life prediction approach for rotating machinery
Yi Qin, Jiahong Yang, Jianghong Zhou, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110688-110688
Closed Access | Times Cited: 22
Prognostics and health management for predictive maintenance: A review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 78-101
Closed Access | Times Cited: 12
A novel machinery RUL prediction method based on exponential model and cross-domain health indicator considering first-to-end prediction time
Xuewu Pei, Xinyu Li, Liang Gao
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111122-111122
Closed Access | Times Cited: 10
A dual-stream spatio-temporal fusion network with multi-sensor signals for remaining useful life prediction
Qiang Zhang, Peixuan Yang, Qiong Liu
Journal of Manufacturing Systems (2024) Vol. 76, pp. 43-58
Closed Access | Times Cited: 7
A2-LSTM for predictive maintenance of industrial equipment based on machine learning
Yuchen Jiang, Pengwen Dai, Pengcheng Fang, et al.
Computers & Industrial Engineering (2022) Vol. 172, pp. 108560-108560
Closed Access | Times Cited: 34
A Review on AI for Smart Manufacturing: Deep Learning Challenges and Solutions
Jiawen Xu, Matthias Kovatsch, Denny Mattern, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8239-8239
Open Access | Times Cited: 31
Electrical-STGCN: An Electrical Spatio-Temporal Graph Convolutional Network for Intelligent Predictive Maintenance
Yuchen Jiang, Pengwen Dai, Pengcheng Fang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 8509-8518
Closed Access | Times Cited: 30
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
An attention-based multi-scale temporal convolutional network for remaining useful life prediction
Zhiqiang Xu, Yujie Zhang, Qiang Miao
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110288-110288
Closed Access | Times Cited: 7
A bearing remaining life prediction method under variable operating conditions based on cross-transformer fusioning segmented data cleaning
Dongxiao Hou, Jiahui Chen, Rongcai Cheng, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110021-110021
Closed Access | Times Cited: 6
Rolling Bearing RUL Prediction Based on Fusion of Multi-Head Attention and Improved TCN-BiLSTM
Guo Yuan, Jun Zhou, Zhenbiao Dong, et al.
IEEE Access (2024) Vol. 12, pp. 95641-95658
Open Access | Times Cited: 5
Coal Seam Roof and Floor Lithology Prediction for Underground Coal Gasification Based on Deep Residual Shrinkage Network
Jialiang Guo, Ruizhao Yang, Fengtao Han
Energy Science & Engineering (2025)
Open Access
Improved sand cat swarm optimization algorithm assisted GraphSAGE-GRU for remaining useful life of engine
Yongliang Yuan, Ruifang Li, Guohu Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Page 1 - Next Page

Scroll to top