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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:

Dual-Attention-Based Multiscale Convolutional Neural Network With Stage Division for Remaining Useful Life Prediction of Rolling Bearings
Fei Jiang, Kang Ding, Guolin He, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

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
Prediction of Remaining Useful Life of Rolling Bearings Based on Multiscale Efficient Channel Attention CNN and Bidirectional GRU
Ping Ma, Guangfu Li, Hongli Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 11
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 novel data augmentation framework for remaining useful life estimation with dense convolutional regression network
Jie Shang, Danyang Xu, Haobo Qiu, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 30-40
Closed Access | Times Cited: 9
A Review of Prognostic and Health Management (PHM) Methods and Limitations for Marine Diesel Engines: New Research Directions
Hla Gharib, György Kovács
Machines (2023) Vol. 11, Iss. 7, pp. 695-695
Open Access | Times Cited: 18
RUL prediction method for rolling bearing using convolutional denoising autoencoder and bidirectional LSTM
Xuejian Yao, Junjun Zhu, Quan Jiang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035111-035111
Closed Access | Times Cited: 17
Remaining Useful Life Prediction for Bearing Based on Coupled Diffusion Process and Temporal Attention
Yixiang Lu, D. S. Tang, De Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 6
A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges
Jianghong Zhou, Jiahong Yang, Quan Qian, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062001-062001
Closed Access | Times Cited: 6
A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
Suraj Gupta, Akhilesh Kumar, J. Maiti
Safety Science (2024) Vol. 177, pp. 106590-106590
Closed Access | Times Cited: 6
Multi-stage degradation feature with dynamic feedback mechanism for remaining useful life prediction
Chaoge Wang, Jiechen Sun, Xiangyi Meng, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-34
Closed Access
Prediction of Residual Life of Rolling Bearings Based on Multi-Scale Improved Temporal Convolutional Network (MITCN) Model
Kaiwen Xia, Q. Li, Liangliang Han, et al.
Machines (2025) Vol. 13, Iss. 2, pp. 137-137
Open Access
Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process
Wenjian Lu, Yu Wang, Mingquan Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107350-107350
Closed Access | Times Cited: 14
Remaining life prediction of bearings based on improved IF-SCINet
Jing Zhang, Chao Zhang, Shuai Xu, et al.
IEEE Access (2024) Vol. 12, pp. 19598-19611
Open Access | Times Cited: 4
Gated Transient Fluctuation Dual Attention Unit Network for Long-Term Remaining Useful Life Prediction of Rotating Machinery Using IIoT
Shuaiyong Li, Chao Zhang, Liang Liu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 18593-18604
Closed Access | Times Cited: 4
Rolling Bearing Degradation Stage Division and RUL Prediction Based on Recursive Exponential Slow Feature Analysis and Bi-LSTM Model
Xinliang Li, Wan Zhang, Yu Ding, et al.
Reliability Engineering & System Safety (2025), pp. 110923-110923
Closed Access
A Global Attention based Gated Temporal Convolutional Network for Machine Remaining Useful Life Prediction
Xinyao Xu, Zhou Xiaolei, Qiang Fan, et al.
Reliability Engineering & System Safety (2025), pp. 110997-110997
Closed Access
Multistage Convolutional Autoencoder and BCM-LSTM Networks for RUL Prediction of Rolling Bearings
Z. Wang, Jiangfeng Cheng, Hui Zheng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 10
A core space gradient projection-based continual learning framework for remaining useful life prediction of machinery under variable operating conditions
Xiangyu Ren, Yong Qin, Bin Li, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110428-110428
Closed Access | Times Cited: 3
Robust prediction of remaining useful lifetime of bearings using deep learning
L. Magadán, Juan C. Granda, Francisco J. Suárez
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107690-107690
Open Access | Times Cited: 10
A Lightweight Group Transformer-Based Time Series Reduction Network for Edge Intelligence and Its Application in Industrial RUL Prediction
Lei Ren, Haiteng Wang, Tingyu Mo, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3720-3729
Closed Access | Times Cited: 3
An adaptive multi-scale feature fusion and adaptive mixture-of-experts multi-task model for industrial equipment health status assessment and remaining useful life prediction
Liang Zhou, Huawei Wang
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110190-110190
Closed Access | Times Cited: 3
A dual-model adaptive Kalman filtering for remaining useful life prediction method based on feature fusion and online TSP recognition
Zhiyi Yuan, Tao Chen, Jialong He, et al.
Measurement (2024) Vol. 235, pp. 115023-115023
Closed Access | Times Cited: 3
Supervised contrastive learning based dual-mixer model for Remaining Useful Life prediction
En Fu, Yanyan Hu, Kaixiang Peng, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110398-110398
Open Access | Times Cited: 3
Remaining useful life prediction for bearing based on automatic feature combination extraction and residual multi-Head attention GRU network
Jiawen He, Xu Zhang, Xuechang Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036003-036003
Closed Access | Times Cited: 8
A knowledge-data integration framework for rolling element bearing RUL prediction across its life cycle
Lei Yang, Tuojian Li, Yue Dong, et al.
ISA Transactions (2024) Vol. 152, pp. 331-357
Closed Access | Times Cited: 2
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