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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:

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

Showing 1-25 of 113 citing articles:

Dual-Aspect Self-Attention Based on Transformer for Remaining Useful Life Prediction
Zhizheng Zhang, Wen Song, Qiqiang Li
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Open Access | Times Cited: 164
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
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
Spatio-temporal degradation modeling and remaining useful life prediction under multiple operating conditions based on attention mechanism and deep learning
Dan Xu, Xiaoqi Xiao, Jie Liu, et al.
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108886-108886
Closed Access | Times Cited: 53
MCTAN: A Novel Multichannel Temporal Attention-Based Network for Industrial Health Indicator Prediction
Lei Ren, Yuxin Liu, Di Huang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 9, pp. 6456-6467
Closed Access | Times Cited: 44
A novel similarity-based status characterization methodology for gear surface wear propagation monitoring
Ke Feng, Qing Ni, Michael Beer, et al.
Tribology International (2022) Vol. 174, pp. 107765-107765
Closed Access | Times Cited: 39
Identification and Resolution for Industrial Internet: Architecture and Key Technology
Yang Liu, Chi Cheng, Kun Zhang, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 18, pp. 16780-16794
Closed Access | Times Cited: 39
Deep Learning for Time Series Forecasting: Advances and Open Problems
Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo, et al.
Information (2023) Vol. 14, Iss. 11, pp. 598-598
Open Access | Times Cited: 38
Privacy-Preserved Cyberattack Detection in Industrial Edge of Things (IEoT): A Blockchain-Orchestrated Federated Learning Approach
Mohamed Abdel‐Basset, Nour Moustafa, Hossam Hawash
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 11, pp. 7920-7934
Closed Access | Times Cited: 37
MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction
Song Fu, Lin Lin, Yue Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109696-109696
Closed Access | Times Cited: 36
Multi-task spatio-temporal augmented net for industry equipment remaining useful life prediction
Haodong Li, Peng Cao, Xingwei Wang, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101898-101898
Closed Access | Times Cited: 33
A 3-D Attention-Enhanced Hybrid Neural Network for Turbofan Engine Remaining Life Prediction Using CNN and BiLSTM Models
You Keshun, Guangqi Qiu, Yingkui Gu
IEEE Sensors Journal (2023) Vol. 24, Iss. 14, pp. 21893-21905
Closed Access | Times Cited: 29
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction
Nguyen Huu Du, Nguyen Hoang Long, Kieu Ngan Ha, et al.
Computers in Industry (2023) Vol. 148, pp. 103888-103888
Closed Access | Times Cited: 28
IoT-Enabled Fault Prediction and Maintenance for Smart Charging Piles
Hongyan Dui, Xinghui Dong, Liwei Chen, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 23, pp. 21061-21075
Closed Access | Times Cited: 26
Dual Channel Feature Attention-Based Approach for RUL Prediction Considering the Spatiotemporal Difference of Multisensor Data
Hui Gao, Yibin Li, Ying Zhao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8514-8525
Closed Access | Times Cited: 22
Predictive Maintenance Scheduling for Aircraft Engines Based on Remaining Useful Life Prediction
Lubing Wang, Ying Chen, Xufeng Zhao, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23020-23031
Closed Access | Times Cited: 13
An adaptive model with dual-dimensional attention for remaining useful life prediction of aero-engine
Fanfan Gan, Haidong Shao, Baizhan Xia
Knowledge-Based Systems (2024) Vol. 293, pp. 111738-111738
Closed Access | Times Cited: 12
Remaining Useful Life Prediction of IIoT-Enabled Complex Industrial Systems With Hybrid Fusion of Multiple Information Sources
Pengfei Wen, Yong Li, Shaowei Chen, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 11, pp. 9045-9058
Open Access | Times Cited: 48
Improved Generative Adversarial Network for Rotating Component Fault Diagnosis in Scenarios With Extremely Limited Data
Jianguo Miao, Jianyu Wang, Dingcheng Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-13
Closed Access | Times Cited: 48
Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data
Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 554-554
Open Access | Times Cited: 29
Online monitoring model of micro-milling force incorporating tool wear prediction process
Pengfei Ding, Xianzhen Huang, Chengying Zhao, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119886-119886
Closed Access | Times Cited: 19
DVGTformer: A dual-view graph Transformer to fuse multi-sensor signals for remaining useful life prediction
Lei Wang, Hongrui Cao, Zhi‐Sheng Ye, et al.
Mechanical Systems and Signal Processing (2023) Vol. 207, pp. 110935-110935
Closed Access | Times Cited: 18
Remaining Useful Life Prediction for Aero-Engines Using a Time-Enhanced Multi-Head Self-Attention Model
Xin Wang, Yi Li, Yaxi Xu, et al.
Aerospace (2023) Vol. 10, Iss. 1, pp. 80-80
Open Access | Times Cited: 17
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 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
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