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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 novel deep learning method based on attention mechanism for bearing remaining useful life prediction
Yuanhang Chen, Gaoliang Peng, Zhiyu Zhu, et al.
Applied Soft Computing (2019) Vol. 86, pp. 105919-105919
Closed Access | Times Cited: 296

Showing 1-25 of 296 citing articles:

Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice
Enrico Zio
Reliability Engineering & System Safety (2021) Vol. 218, pp. 108119-108119
Open Access | Times Cited: 372
Deep transfer learning with limited data for machinery fault diagnosis
Te Han, Chao Liu, Rui Wu, et al.
Applied Soft Computing (2021) Vol. 103, pp. 107150-107150
Closed Access | Times Cited: 170
Transferable convolutional neural network based remaining useful life prediction of bearing under multiple failure behaviors
Han Cheng, Xianguang Kong, Gaige Chen, et al.
Measurement (2020) Vol. 168, pp. 108286-108286
Closed Access | Times Cited: 166
A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor
Omar AlShorman, Muhammad Irfan, Nordin Saad, et al.
Shock and Vibration (2020) Vol. 2020, pp. 1-20
Open Access | Times Cited: 162
A BiGRU method for remaining useful life prediction of machinery
Daoming She, Minping Jia
Measurement (2020) Vol. 167, pp. 108277-108277
Closed Access | Times Cited: 150
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
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
Deep learning-based tool wear prediction and its application for machining process using multi-scale feature fusion and channel attention mechanism
Xingwei Xu, Jianwen Wang, Bingfu Zhong, et al.
Measurement (2021) Vol. 177, pp. 109254-109254
Closed Access | Times Cited: 115
Remaining useful life prediction of bearings by a new reinforced memory GRU network
Jianghong Zhou, Yi Qin, Dingliang Chen, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101682-101682
Closed Access | Times Cited: 84
Selective kernel convolution deep residual network based on channel-spatial attention mechanism and feature fusion for mechanical fault diagnosis
Shuo Zhang, Zhiwen Liu, Yunping Chen, et al.
ISA Transactions (2022) Vol. 133, pp. 369-383
Closed Access | Times Cited: 84
A Novel Transfer Learning Approach in Remaining Useful Life Prediction for Incomplete Dataset
Shahin Siahpour, Xiang Li, Jay Lee
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 72
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
Spatial correlation and temporal attention-based LSTM for remaining useful life prediction of turbofan engine
Huixin Tian, Linzheng Yang, Bingtian Ju
Measurement (2023) Vol. 214, pp. 112816-112816
Closed Access | Times Cited: 61
A novel health indicator for intelligent prediction of rolling bearing remaining useful life based on unsupervised learning model
Zifei Xu, Musa Bashir, Qinsong Liu, et al.
Computers & Industrial Engineering (2023) Vol. 176, pp. 108999-108999
Open Access | Times Cited: 57
A piecewise method for bearing remaining useful life estimation using temporal convolutional networks
Haobo Qiu, Yingchun Niu, Jie Shang, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 227-241
Closed Access | Times Cited: 50
Trend-augmented and temporal-featured Transformer network with multi-sensor signals for remaining useful life prediction
Yuru Zhang, Chun Su, Jiajun Wu, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109662-109662
Closed Access | Times Cited: 45
Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data
Dingyi Sun, Yongbo Li, Sixiang Jia, et al.
Information Fusion (2023) Vol. 94, pp. 112-125
Closed Access | Times Cited: 42
A review of high-definition map creation methods for autonomous driving
Zhibin Bao, Sabir Hossain, Haoxiang Lang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106125-106125
Closed Access | Times Cited: 41
A dual attention LSTM lightweight model based on exponential smoothing for remaining useful life prediction
Jiayu Shi, Jingshu Zhong, Yuxuan Zhang, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109821-109821
Closed Access | Times Cited: 41
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network
Xiaofeng Yuan, Lingfeng Huang, Lingjian Ye, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 5, pp. 2696-2707
Closed Access | Times Cited: 36
An analysis of process fault diagnosis methods from safety perspectives
Rajeevan Arunthavanathan, Faisal Khan, Salim Ahmed, et al.
Computers & Chemical Engineering (2020) Vol. 145, pp. 107197-107197
Closed Access | Times Cited: 122
Interpreting network knowledge with attention mechanism for bearing fault diagnosis
Zhibo Yang, Junpeng Zhang, Zhibin Zhao, et al.
Applied Soft Computing (2020) Vol. 97, pp. 106829-106829
Closed Access | Times Cited: 121
Distributed Attention-Based Temporal Convolutional Network for Remaining Useful Life Prediction
Yan Song, Shengyao Gao, Yibin Li, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 12, pp. 9594-9602
Closed Access | Times Cited: 113
A BiGRU Autoencoder Remaining Useful Life Prediction Scheme With Attention Mechanism and Skip Connection
Yuhang Duan, Honghui Li, Mengqi He, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 9, pp. 10905-10914
Closed Access | Times Cited: 99
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
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