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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:

Single gated RNN with differential weighted information storage mechanism and its application to machine RUL prediction
Sheng Xiang, Penghua Li, Huang Yi, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109741-109741
Closed Access | Times Cited: 23

Showing 23 citing articles:

Machine learning-based probabilistic prediction model for chloride concentration in the interfacial zone of precast and cast-in-place concrete structures
Yiming Yang, Chen Huan, Jianxin Peng, et al.
Structures (2025) Vol. 72, pp. 108224-108224
Closed Access | Times Cited: 4
A novel transformer-based DL model enhanced by position-sensitive attention and gated hierarchical LSTM for aero-engine RUL prediction
Xinping Chen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
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 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
Enhanced stochastic recurrent hybrid model for RUL Predictions via Semi-supervised learning
Yan‐Hui Lin, Liang Chang, Lu-Xin Guan
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110167-110167
Closed Access | Times Cited: 5
Data augmentation based on diffusion probabilistic model for remaining useful life estimation of aero-engines
Wei Wang, Honghao Song, Shubin Si, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110394-110394
Closed Access | Times Cited: 4
Remaining useful life prediction of Nuclear Reactor Control Rod Drive Mechanism based on Dynamic Temporal Convolutional Network
Chen Wang, Yu Zhang, Lingxin Chen, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110580-110580
Closed Access | Times Cited: 4
A benchmark on uncertainty quantification for deep learning prognostics
Luis Basora, Arthur Viens, Manuel Arias Chao, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110513-110513
Open Access | Times Cited: 4
Enhanced deep learning framework for accurate near-failure RUL prediction of bearings in varying operating conditions
Anil Kumar, Chander Parkash, Pradeep Kundu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103231-103231
Closed Access
Projectile trajectory and launch point prediction based on CORR-CNN-BiLSTM-Attention model
Zhanpeng Gao, Dingye Zhang, Wenjun Yi
Expert Systems with Applications (2025) Vol. 275, pp. 127045-127045
Closed Access
A novel method for identifying sudden degradation changes in remaining useful life prediction for bearing
Xianhua Chen, Zhigang Tian
Expert Systems with Applications (2025), pp. 127315-127315
Open Access
A New Strategy: Remaining Useful Life Prediction of Wind Power Bearings Based on Deep Learning under Data Missing Conditions
Xuejun Li, Lei Xu, Lingli Jiang, et al.
Mathematics (2024) Vol. 12, Iss. 13, pp. 2119-2119
Open Access | Times Cited: 2
Remaining Useful Life Prediction Based on Time-Series Features and Conformalized Quantile Regression
Song Mao, Xiaofeng Li, Boyang Zhao
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126113-126113
Closed Access | Times Cited: 1
PSTFormer: A novel parallel spatial-temporal transformer for remaining useful life prediction of aeroengine
Song Yin Fu, Yiming Jia, Lin Lin, et al.
Expert Systems with Applications (2024), pp. 125995-125995
Closed Access | Times Cited: 1
A multi time-scale deep learning model for lithium-ion battery health perception using soft parameter sharing mechanism
Lulu Wang, Kun Zheng, Yijing Li, et al.
Chinese Journal of Electrical Engineering (2024) Vol. 10, Iss. 3, pp. 1-11
Open Access
Improved RUL prediction method of wind turbine gearbox bearings under strong noises
Sheng Xiang, Penghua Li, Jie Hou, et al.
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) (2024), pp. 693-697
Closed Access
A reference learning network for fault diagnosis of rotating machinery under strong noise
Yinjun Wang, Zhigang Zhang, Xiaoxi Ding, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112150-112150
Closed Access
A Rolling Bearing Remaining Life Prediction Method Based on Wiener Process Data-Model Integration in the Context of Mechanical Fault Diagnosis
Hongliang He, Tongtong Liu, Chao Zhang, et al.
Mechanisms and machine science (2024), pp. 262-273
Closed Access
Machine remaining useful life prediction method based on global-local attention compensation network
Zhixiang Chen
Reliability Engineering & System Safety (2024) Vol. 255, pp. 110652-110652
Closed Access
Turbofan Engine Remaining Useful Life Prediction Based on Sample Efficient Transfer Learning and Leveraging Large Language Model
Y.S. Chen, Cheng Liu
(2024)
Closed Access
A heterogeneous transfer learning method for fault prediction of railway track circuit
Lan Na, Baigen Cai, Chongzhen Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 140, pp. 109740-109740
Closed Access
Exploration of salience theory to deep learning: Evidence from Chinese new energy market high-frequency trading
Qing Zhu, Jinhong Du, Yuze Li
Data Science and Management (2024)
Open Access
An Adaptive Method for Predicting Bearing Remaining Useful Life Across Various Degradation Stages
Ao Sun, Xiaodong Miao, Kun Xu, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016154-016154
Closed Access
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