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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 meta network pruning framework for remaining useful life prediction of rocket engine bearings with temporal distribution discrepancy
Tongyang Pan, Sui Zhang, Fudong Li, et al.
Mechanical Systems and Signal Processing (2023) Vol. 195, pp. 110271-110271
Closed Access | Times Cited: 21

Showing 21 citing articles:

The LPST-Net: A new deep interval health monitoring and prediction framework for bearing-rotor systems under complex operating conditions
Tongguang Yang, Guanchen Li, Kaitai Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102558-102558
Closed Access | Times Cited: 16
PAOLTransformer: Pruning-adaptive optimal lightweight Transformer model for aero-engine remaining useful life prediction
Xin Zhang, Jiankai Sun, Jiaxu Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109605-109605
Closed Access | Times Cited: 22
Meta-learning with deep flow kernel network for few shot cross-domain remaining useful life prediction
Jing Yang, Xiaomin Wang
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109928-109928
Closed Access | Times Cited: 10
Contrastive feature-based learning-guided elevated deep reinforcement learning: Developing an imbalanced fault quantitative diagnosis under variable working conditions
Shuilong He, Qianwen Cui, Jinglong Chen, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111192-111192
Closed Access | Times Cited: 10
Multidimensional Attention Domain Adaptive Method Incorporating Degradation Prior for Machine Remaining Useful Life Prediction
Shushuai Xie, Wei Cheng, Zelin Nie, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7345-7356
Closed Access | Times Cited: 10
Artificial intelligence enhanced fault prediction with industrial incomplete information
Xiaoyan Shao, Baoping Cai, Zhexian Zou, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112063-112063
Closed Access | Times Cited: 9
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
Fault Sensor Isolation Method for Liquid Rocket Engines Based on Multi-Model
Ruo-Bin Sun, Yufeng Su, Hui Chen, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112278-112278
Closed Access
Prior task aware-augmented meta learning for early state-of-health estimation of lithium-ion batteries
Jing Yang, Minglan Zhang, Xiaomin Wang
Energy (2025), pp. 135648-135648
Closed Access
A global and joint knowledge distillation method with gradient-modulated dynamic parameter adaption for EMU bogie bearing fault diagnosis
Tongyang Pan, Tiantian Wang, Jinglong Chen, et al.
Measurement (2024) Vol. 235, pp. 114927-114927
Closed Access | Times Cited: 3
A meta-weighted network equipped with uncertainty estimations for remaining useful life prediction of turbopump bearings
Tongyang Pan, Jinglong Chen, Z. Liu
Expert Systems with Applications (2024) Vol. 252, pp. 124161-124161
Closed Access | Times Cited: 2
Principal-feature-guided degradation trend prediction algorithm based on gear fault dynamics model
Rui Yu, Bin He, Maoyuan Ma
Engineering Failure Analysis (2024) Vol. 163, pp. 108455-108455
Closed Access | Times Cited: 1
An interpretable fault diagnosis method for aeroengine bearings based on belief rule based with a dynamic power set
Jinyuan Li, Wei He, Hailong Zhu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Remaining Useful Life Prediction of a Planetary Gearbox Based on Meta Representation Learning and Adaptive Fractional Generalized Pareto Motion
Hongqing Zheng, Wujin Deng, Wanqing Song, et al.
Fractal and Fractional (2023) Vol. 8, Iss. 1, pp. 14-14
Open Access | Times Cited: 4
Target identification and control model of autopilot for passive homing missiles
Manvinder Sharma, Harjinder Singh, Anuj Gupta, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 20, pp. 58465-58494
Closed Access | Times Cited: 3
Explainable Data Mining Method for Liquid Rocket Engines Based on Knowledge, Physical Model and Data
Xiaopu Zhang, Yang Li, Feng Ren, et al.
(2024)
Closed Access
A method based on DWRNet and MGAU for RUL prediction of bearing with few samples
Xiaoxia Yu, Zhigang Zhang, Baoping Tang, et al.
Journal of Vibration and Control (2024)
Closed Access
Machine Learning Approach for LPRE Bearings Remaining Useful Life Estimation Based on Hidden Markov Models and Fatigue Modelling
Federica Galli, Philippe Weber, Ghaleb Hoblos, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 367-367
Open Access
End-to-end Temporal Transformer with Autocorrelated Attention Mechanism Augmented for Remaining Useful Life Prediction of Turbopump Bearings
Zhuohang Chen, Jinglong Chen, Tongyang Pan, et al.
Journal of Physics Conference Series (2024) Vol. 2762, Iss. 1, pp. 012048-012048
Open Access
Health prediction under limited degradation data for rocket engine bearings via conditional inference knowledge-enrichment approach
Yulang Liu, Jinglong Chen, Weijun Xu
Advanced Engineering Informatics (2024) Vol. 64, pp. 102998-102998
Closed Access
Feature learning for bearing prognostics: A comprehensive review of machine/deep learning methods, challenges, and opportunities
Ahmed Ayman, Ahmed Onsy, Omneya Attallah, et al.
Measurement (2024), pp. 116589-116589
Open Access
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