Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Deep Bidirectional Recurrent Neural Networks Ensemble for Remaining Useful Life Prediction of Aircraft Engine
Kui Hu, Yiwei Cheng, Jun Wu, et al.
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 4, pp. 2531-2543
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

An Overview of the State of the Art in Aircraft Prognostic and Health Management Strategies
Mojtaba Kordestani, Marcos E. Orchard, K. Khorasani, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 33
A new multi-sensor fusion with hybrid Convolutional Neural Network with Wiener model for remaining useful life estimation
Long Wen, Shaoquan Su, Wang Bin, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106934-106934
Closed Access | Times Cited: 31
Bayesian gated-transformer model for risk-aware prediction of aero-engine remaining useful life
Feifan Xiang, Yiming Zhang, Shuyou Zhang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121859-121859
Closed Access | Times Cited: 29
A concise self-adapting deep learning network for machine remaining useful life prediction
Sheng Xiang, Yi Qin, Jun Luo, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110187-110187
Closed Access | Times Cited: 27
Deep signal separation for adaptive estimation of instantaneous phase from vibration signals
Yi Wang, Jiakai Ding, Haoran Sun, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123187-123187
Closed Access | Times Cited: 11
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
Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview
Shuai Fu, Nicolas P. Avdelidis
Sensors (2023) Vol. 23, Iss. 19, pp. 8124-8124
Open Access | Times Cited: 17
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model
Zhihao Zhou, Zhenhua Long, Rui-Dong Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 567-584
Closed Access | Times Cited: 5
Multi-objective predictive maintenance scheduling models integrating remaining useful life prediction and maintenance decisions
Lubing Wang, Butong Li, Xufeng Zhao
Computers & Industrial Engineering (2024), pp. 110581-110581
Closed Access | Times Cited: 5
A hybrid prognosis method based on health indicator and wiener process: The case of multi-sensor monitored aero-engine
Xueqi Yang, Xinqin Gao, Haiyang Zheng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110099-110099
Closed Access
Online Prediction Method for Remaining Useful Life of Aircraft Engine
Bei Li, Cong Peng, Sumu Shi, et al.
Lecture notes in electrical engineering (2025), pp. 210-219
Closed Access
Residual shrinkage transformer relation network for intelligent fault detection of industrial robot with zero-fault samples
Zuoyi Chen, Ke Wu, Jun Wu, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110452-110452
Closed Access | Times Cited: 15
Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions
Yuan Li, Jingwei Li, Huanjie Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109748-109748
Closed Access | Times Cited: 15
A cumulative descriptor enhanced ensemble deep neural networks method for remaining useful life prediction of cutting tools
Xuandong Mo, Teng Wang, Yahui Zhang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102094-102094
Closed Access | Times Cited: 14
A Review of Remaining Useful Life Prediction Approaches for Mechanical Equipment
Yangyang Zhang, Liqing Fang, Ziyuan Qi, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 29991-30006
Closed Access | Times Cited: 13
Multi-modal LSTM network for anomaly prediction in piston engine aircraft
Waqas Rauf Khattak, Ahmad Salman, Salman Ghafoor, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25120-e25120
Open Access | Times Cited: 4
Turbofan Engine Health Prediction Model Based on ESO-BP Neural Network
Xiaoli Zhang, Nuo Xu, Wei Dai, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1996-1996
Open Access | Times Cited: 4
Nonlinear Slow-varying Dynamics-assisted Temporal Graph Transformer Network for Remaining Useful Life Prediction
Zhan Gao, Weixiong Jiang, Jun Wu, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110162-110162
Closed Access | Times Cited: 4
GRU-AE-wiener: A generative adversarial network assisted hybrid gated recurrent unit with Wiener model for bearing remaining useful life estimation
Long Wen, Shaoquan Su, Xinyu Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111663-111663
Closed Access | Times Cited: 4
Managing remaining useful life of cyber-aeroengine systems using a graph spatio-temporal attention recurrent network with phase-lag index
Wenyue Cui, Rui Wang, Tao Sun, et al.
Energy (2024) Vol. 308, pp. 132924-132924
Closed Access | Times Cited: 4
A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism
Fan Wang, Aihua Liu, Chunyang Qu, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 497-497
Open Access
An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism
Hao Li, Zhuojian Wang, Zhe Li
PeerJ Computer Science (2022) Vol. 8, pp. e1084-e1084
Open Access | Times Cited: 21
Deep residual shrinkage relation network for anomaly detection of rotating machines
Zuoyi Chen, Zirui Li, Jun Wu, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 579-590
Closed Access | Times Cited: 20
Intelligent monitoring of milling tool wear based on milling force coefficients by prediction of instantaneous milling forces
Defeng Peng, Hongkun Li
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111033-111033
Closed Access | Times Cited: 12
An adaptive remaining useful life prediction model for aeroengine based on multi-angle similarity
Z. C. Zhou, Mingliang Bai, Zhenhua Long, et al.
Measurement (2023) Vol. 226, pp. 114082-114082
Closed Access | Times Cited: 11
Page 1 - Next Page

Scroll to top