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:

Remaining useful life prediction using an integrated Laplacian-LSTM network on machinery components
Mohd Syahril Ramadhan Mohd Saufi, Kamarul Arifin Hassan
Applied Soft Computing (2021) Vol. 112, pp. 107817-107817
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines
Tongyang Pan, Jinglong Chen, Zhi‐Sheng Ye, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108610-108610
Closed Access | Times Cited: 71
Explainable AI for Cybersecurity
Siva Raja Sindiramutty, Chong Eng Tan, Sei Ping Lau, et al.
Advances in computational intelligence and robotics book series (2024), pp. 31-97
Closed Access | Times Cited: 15
Dynamic Model-Assisted Bearing Remaining Useful Life Prediction Using the Cross-Domain Transformer Network
Yongchao Zhang, Ke Feng, Jinchen Ji, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 2, pp. 1070-1080
Closed Access | Times Cited: 49
A two-phase-based deep neural network for simultaneous health monitoring and prediction of rolling bearings
Rui Bai, Khandaker Noman, Ke Feng, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109428-109428
Closed Access | Times Cited: 23
Data-Driven Deep Learning-Based Attention Mechanism for Remaining Useful Life Prediction: Case Study Application to Turbofan Engine Analysis
Amgad Muneer, Shakirah Mohd Taib, Sheraz Naseer, et al.
Electronics (2021) Vol. 10, Iss. 20, pp. 2453-2453
Open Access | Times Cited: 41
Remaining Useful Life Prediction for Aero-Engines Using a Time-Enhanced Multi-Head Self-Attention Model
Xin Wang, Yi Li, Yaxi Xu, et al.
Aerospace (2023) Vol. 10, Iss. 1, pp. 80-80
Open Access | Times Cited: 17
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access
An Improved Nonlinear Health Index CRRMS for the Remaining Useful Life Prediction of Rolling Bearings
Yongze Jin, Xubo Yang, Junqi Liu, et al.
Actuators (2025) Vol. 14, Iss. 2, pp. 88-88
Open Access
Physics-driven precision reliability prediction modelling for the condition estimation of worm gear turntable
Xiaogang Zhang, Wei Chen, Hongwei Wang, et al.
Precision Engineering (2025)
Closed Access
Remaining useful life prediction of rolling bearing based on anomaly correction
Yanfeng Li, Wenyan Zhao, Zhijian Wang, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-19
Closed Access
A Robust Health Prognostics Technique for Failure Diagnosis and the Remaining Useful Lifetime Predictions of Bearings in Electric Motors
L. Magadán, Francisco J. Suárez, Juan C. Granda, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2220-2220
Open Access | Times Cited: 12
Generative adversarial network to alleviate information insufficiency in intelligent fault diagnosis by generating continuations of signals
Zhenglin Dai, Liping Zhao, Ke Wang, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110784-110784
Closed Access | Times Cited: 12
Residual Life Prediction of Rolling Bearings Based on a CEEMDAN Algorithm Fused with CNN–Attention-Based Bidirectional LSTM Modeling
Xinggang Zhang, Jianzhong Yang, Ximing J. Yang
Processes (2023) Vol. 12, Iss. 1, pp. 8-8
Open Access | Times Cited: 11
Memory-enhanced hybrid deep learning networks for remaining useful life prognostics of mechanical equipment
Yuanhang Wang, Jun Wu, Yiwei Cheng, et al.
Measurement (2021) Vol. 187, pp. 110354-110354
Closed Access | Times Cited: 23
Bearing remaining useful life prediction of fatigue degradation process based on dynamic feature construction
Hongqiu Zhu, Ziyi Huang, Biliang Lu, et al.
International Journal of Fatigue (2022) Vol. 164, pp. 107169-107169
Closed Access | Times Cited: 17
Mar-RUL: A remaining useful life prediction approach for fault prognostics of marine machinery
Christian Velasco-Gallego, Iraklis Lazakis
Applied Ocean Research (2023) Vol. 140, pp. 103735-103735
Open Access | Times Cited: 10
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
Rolling Bearing Residual Useful Life Prediction Model Based on the Particle Swarm Optimization-Optimized Fusion of Convolutional Neural Network and Bidirectional Long–Short-Term Memory–Multihead Self-Attention
Jianzhong Yang, Xinggang Zhang, Song Liu, et al.
Electronics (2024) Vol. 13, Iss. 11, pp. 2120-2120
Open Access | Times Cited: 3
Global and local information integrated network for remaining useful life prediction
Zian Chen, Xiaohang Jin, Ziqian Kong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106956-106956
Closed Access | Times Cited: 8
Advancements in Bearing Remaining Useful Life Prediction Methods: A Comprehensive Review
Liuyang Song, Tianjiao Lin, Jin Ye, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092003-092003
Closed Access | Times Cited: 2
Magnetorheological Damper Force Prediction using Particle Swarm Optimization and Long Short-Term Memory Model
Nur Ain Fatihah Murad, Mohd Syahril Ramadhan Mohd Saufi, Ahmad Hafizal Mohd Yamin, et al.
Journal of Physics Conference Series (2024) Vol. 2721, Iss. 1, pp. 012023-012023
Open Access | Times Cited: 1
Layer recurrent neural network-based diagnosis of Parkinson’s disease using voice features
Zehra Karapιnar Şentürk
Biomedical Engineering / Biomedizinische Technik (2022) Vol. 67, Iss. 4, pp. 249-266
Closed Access | Times Cited: 7
A novel exponential degradation approach for predicting the remaining useful life of roadheader bearings
Qiang Liu, Songyong Liu, Qianjin Dai, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 3, pp. 035114-035114
Closed Access | Times Cited: 7
Multi-Head Attention Network with Adaptive Feature Selection for RUL Predictions of Gradually Degrading Equipment
Lei Nie, Shiyi Xu, Lvfan Zhang
Actuators (2023) Vol. 12, Iss. 4, pp. 158-158
Open Access | Times Cited: 3
Strip thickness prediction method based on improved border collie optimizing LSTM
Lijie Sun, Lin Zeng, Hongjuan Zhou, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1114-e1114
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top