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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:

Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery
Biao Wang, Yaguo Lei, Naipeng Li, et al.
IEEE Transactions on Industrial Electronics (2020) Vol. 68, Iss. 8, pp. 7496-7504
Closed Access | Times Cited: 196

Showing 1-25 of 196 citing articles:

Subdomain Adaptation Transfer Learning Network for Fault Diagnosis of Roller Bearings
Zhijian Wang, Xinxin He, Bin Yang, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 8, pp. 8430-8439
Closed Access | Times Cited: 182
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
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
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction
Ruibing Jin, Zhenghua Chen, Keyu Wu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 82
A difference attention ResNet-LSTM network for epileptic seizure detection using EEG signal
Xuanjie Qiu, Fang Yan, Haihong Liu
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104652-104652
Closed Access | Times Cited: 56
A new convolutional dual-channel Transformer network with time window concatenation for remaining useful life prediction of rolling bearings
Li Jiang, Tianao Zhang, Lei Wei, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101966-101966
Closed Access | Times Cited: 54
FedCAE: A New Federated Learning Framework for Edge-Cloud Collaboration Based Machine Fault Diagnosis
Yaoxiang Yu, Liang Guo, Hongli Gao, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 4, pp. 4108-4119
Closed Access | Times Cited: 52
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
A hybrid method for cutting tool RUL prediction based on CNN and multistage Wiener process using small sample data
Xiangyu Zhang, Bowen Shi, Bowen Feng, et al.
Measurement (2023) Vol. 213, pp. 112739-112739
Closed Access | Times Cited: 41
Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines
Lin Lin, Jin‐Lei Wu, Song Fu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102372-102372
Closed Access | Times Cited: 35
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
Multiscale inverted residual convolutional neural network for intelligent diagnosis of bearings under variable load condition
Wenlei Zhao, Zhijian Wang, Wenan Cai, et al.
Measurement (2021) Vol. 188, pp. 110511-110511
Closed Access | Times Cited: 82
Temporal self-attention-based Conv-LSTM network for multivariate time series prediction
En Fu, Yinong Zhang, Fan Yang, et al.
Neurocomputing (2022) Vol. 501, pp. 162-173
Closed Access | Times Cited: 67
Multimodal Fusion Convolutional Neural Network With Cross-Attention Mechanism for Internal Defect Detection of Magnetic Tile
Houhong Lu, Yangyang Zhu, Ming Yin, et al.
IEEE Access (2022) Vol. 10, pp. 60876-60886
Open Access | Times Cited: 64
Online Remaining Useful Life Prediction of Milling Cutters Based on Multisource Data and Feature Learning
Liang Guo, Yaoxiang Yu, Hongli Gao, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5199-5208
Closed Access | Times Cited: 61
A Review on Multiscale-Deep-Learning Applications
Elizar Elizar, Mohd Asyraf Zulkifley, Rusdha Muharar, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7384-7384
Open Access | Times Cited: 56
The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108581-108581
Closed Access | Times Cited: 52
RUL prediction of machinery using convolutional-vector fusion network through multi-feature dynamic weighting
Xiaofei Liu, Yaguo Lei, Naipeng Li, et al.
Mechanical Systems and Signal Processing (2022) Vol. 185, pp. 109788-109788
Closed Access | Times Cited: 52
FedRUL: A New Federated Learning Method for Edge-Cloud Collaboration Based Remaining Useful Life Prediction of Machines
Liang Guo, Yaoxiang Yu, Mengui Qian, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 1, pp. 350-359
Closed Access | Times Cited: 52
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 novel dual-stream self-attention neural network for remaining useful life estimation of mechanical systems
Danyang Xu, Haobo Qiu, Liang Gao, et al.
Reliability Engineering & System Safety (2022) Vol. 222, pp. 108444-108444
Closed Access | Times Cited: 41
An attention-based temporal convolutional network method for predicting remaining useful life of aero-engine
Qiang Zhang, Qiong Liu, Ye Qin
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107241-107241
Closed Access | Times Cited: 38
Remaining Useful Life Prediction of Bearings Based on Convolution Attention Mechanism and Temporal Convolution Network
Haitao Wang, Jie Yang, Ruihua Wang, et al.
IEEE Access (2023) Vol. 11, pp. 24407-24419
Open Access | Times Cited: 29
Multibranch and Multiscale Dynamic Convolutional Network for Small Sample Fault Diagnosis of Rotating Machinery
Haopeng Liang, Jie Cao, Xiaoqiang Zhao
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8973-8988
Closed Access | Times Cited: 22
A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction
Ziqian Kong, Xiaohang Jin, Zhengguo Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109163-109163
Closed Access | Times Cited: 21
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