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:

Aero-Engine Remaining Useful Life Estimation Based on Multi-Head Networks
Likun Ren, Haiqin Qin, Zhenbo Xie, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Jiaxian Chen, Ruyi Huang, Zhuyun Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110239-110239
Closed Access | Times Cited: 101
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction
Ruibing Jin, Zhenghua Chen, Keyu Wu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 82
A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics
Jiusi Zhang, Jilun Tian, Minglei Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 78
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
Data-driven method embedded physical knowledge for entire lifecycle degradation monitoring in aircraft engines
Dasheng Xiao, Zhifu Lin, Aiyang Yu, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110100-110100
Closed Access | Times Cited: 10
A Predictive Maintenance Strategy Using Deep Learning Quantile Regression and Kernel Density Estimation for Failure Prediction
Chuang Chen, Jiantao Shi, Mouquan Shen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 14
Remaining useful life prediction of turbofan engine using global health degradation representation in federated learning
Xi Chen, Hui Wang, Siliang Lu, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109511-109511
Closed Access | Times Cited: 14
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
A data-driven intelligent predictive maintenance decision framework for mechanical systems integrating transformer and kernel density estimation
Enzhi Dong, Xianbiao Zhan, Hao Yan, et al.
Computers & Industrial Engineering (2025), pp. 110868-110868
Closed Access
A dual-path architecture based on time series decomposition and degradation correction for remaining useful life prediction of aero-engine
Chenchen Wu, Jialong He, Liang Wang, et al.
Computers & Industrial Engineering (2025), pp. 110964-110964
Closed Access
Log-Cumulative feature alignment for enhanced Prognosis of Aero-Engine remaining Useful life
Yang Ge, Xingxing Jiang, Benlian Xu, et al.
Expert Systems with Applications (2025), pp. 127277-127277
Closed Access
An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction
Ruibing Jin, Duo Zhou, Min Wu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1093-1102
Closed Access | Times Cited: 11
A multi-model data-fusion based deep transfer learning for improved remaining useful life estimation for IIOT based systems
Sourajit Behera, Rajiv Misra
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105712-105712
Closed Access | Times Cited: 17
Parallel Generative Adversarial Imputation Network for Multivariate Missing Time-Series Reconstruction and Its Application to Aeroengines
Song Ma, Zeng-Song Xu, Tao Sun
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-16
Closed Access | Times Cited: 10
Brain-Inspired Spike Echo State Network Dynamics for Aero-Engine Intelligent Fault Prediction
M.C. Liu, Tao Sun, Xi‐Ming Sun
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Open Access | Times Cited: 9
Health Indicator Construction Based on Multisensors for Intelligent Remaining Useful Life Prediction: A Reinforcement Learning Approach
Zhaoqin Peng, Xucong Huang, Diyin Tang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 8
Intelligent Hybrid Scheme for Health Monitoring of Degrading Rotary Machines: An Adaptive Fuzzy c-Means Coupled With 1-D CNN
Seetaram Maurya, Nishchal K. Verma
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 7
Spherical-dynamic time warping – A new method for similarity-based remaining useful life prediction
Xiaochuan Li, Shuiqing Xu, Yingjie Yang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121913-121913
Closed Access | Times Cited: 7
Wheel-rail force inversion via transfer learning-based residual LSTM neural network with temporal pattern attention mechanism
Taoning Zhu, Yu Ren, Huailong Shi, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112135-112135
Closed Access | Times Cited: 2
A Novel Remaining Useful Life Prediction Approach Combined eXtreme Gradient Boosting and Multi-Quantile Recurrent Neural Network
Yantao Yin, Jianyin Zhao, Xiao Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 44648-44658
Open Access | Times Cited: 1
Data-driven fault detection for closed-loop T-S fuzzy systems with unknown system dynamics and its application to aero-engines
Fu-Qiang Nian, Guang-Hong Yang
Information Sciences (2024) Vol. 677, pp. 120829-120829
Closed Access | Times Cited: 1
Parallel processing of sensor signals using deep learning method for aero-engine remaining useful life prediction
Tianyu Wang, Baokui Li, Qing Fei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096129-096129
Closed Access | Times Cited: 1
Multiscale Feature Extension Enhanced Deep Global–Local Attention Network for Remaining Useful Life Prediction
Rourou Li, Yimin Jiang, Tangbin Xia, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 25557-25571
Closed Access | Times Cited: 4
Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis
Vedant Sharma, Deepak Kumar Sharma, Ashish Anand
Journal of Computing and Information Science in Engineering (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 6
Time-Varying Gaussian Encoder-Based Adaptive Sensor-Weighted Method for Turbofan Engine Remaining Useful Life Prediction
Lei Ren, Haiteng Wang, Zidi Jia, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top