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:

Fault prognostics by an ensemble of Echo State Networks in presence of event based measurements
Mingjing Xu, Piero Baraldi, Sameer Al‐Dahidi, et al.
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103346-103346
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice
Enrico Zio
Reliability Engineering & System Safety (2021) Vol. 218, pp. 108119-108119
Open Access | Times Cited: 372
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
Venkat Pavan Nemani, Luca Biggio, Xun Huan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110796-110796
Open Access | Times Cited: 75
Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility
Gabriel Trierweiler Ribeiro, André Alves Portela Santos, Viviana Cocco Mariani, et al.
Expert Systems with Applications (2021) Vol. 184, pp. 115490-115490
Open Access | Times Cited: 84
Meta deep learning based rotating machinery health prognostics toward few-shot prognostics
Peng Ding, Minping Jia, Xiaoli Zhao
Applied Soft Computing (2021) Vol. 104, pp. 107211-107211
Closed Access | Times Cited: 63
Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review
Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, et al.
IEEE Access (2023) Vol. 11, pp. 41741-41769
Open Access | Times Cited: 16
A Review of Designs and Applications of Echo State Networks
Chenxi Sun, Moxian Song, Shenda Hong, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 40
Data-driven failure prediction and RUL estimation of mechanical components using accumulative artificial neural networks
Basheer Shaheen, Ádám Kocsis, István Németh
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105749-105749
Open Access | Times Cited: 24
A deep residual sequence autoencoder for future state estimation and aiding prognostics and diagnostics in machines: a case study of mechanical rolling elements
Bwambale Rashid Ramadhan, Perkgoz Cahit
Neural Computing and Applications (2025)
Closed Access
Fractional Lévy stable motion: Finite difference iterative forecasting model
Liu He, Wanqing Song, Ming Li, et al.
Chaos Solitons & Fractals (2020) Vol. 133, pp. 109632-109632
Closed Access | Times Cited: 36
Interval prediction of crude oil spot price volatility: An improved hybrid model integrating decomposition strategy, IESN and ARIMA
Jinliang Zhang, ziyi Liu
Expert Systems with Applications (2024) Vol. 252, pp. 124195-124195
Closed Access | Times Cited: 3
Prognostics and Health Management of Wind Energy Infrastructure Systems
Celalettin Yüce, Ozhan Gecgel, Oğuz Doǧan, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (2022) Vol. 8, Iss. 2
Closed Access | Times Cited: 16
Real-Time and Adaptive Reservoir Computing With Application to Profile Prediction in Fusion Plasma
Azarakhsh Jalalvand, Joseph Abbate, Rory Conlin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 6, pp. 2630-2641
Open Access | Times Cited: 22
A robust model selection framework for fault detection and system health monitoring with limited failure examples: Heterogeneous data fusion and formal sensitivity bounds
Roberto Rocchetta, Qi Gao, Dimitrios Mavroeidis, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105140-105140
Open Access | Times Cited: 13
Adaptive nearest neighbor reconstruction with deep contractive sparse filtering for fault diagnosis of roller bearings
Weiwei Qian, Shunming Li, Jiantao Lu
Engineering Applications of Artificial Intelligence (2022) Vol. 111, pp. 104749-104749
Closed Access | Times Cited: 11
An MEWMA-based segmental multivariate hidden Markov model for degradation assessment and prediction
Yaping Li, Enrico Zio, Ershun Pan
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2021) Vol. 235, Iss. 5, pp. 831-844
Closed Access | Times Cited: 13
Spectral Kurtosis of Choi–Williams Distribution and Hidden Markov Model for Gearbox Fault Diagnosis
Yufei Li, Wanqing Song, Fei Wu, et al.
Symmetry (2020) Vol. 12, Iss. 2, pp. 285-285
Open Access | Times Cited: 14
Echo state networks for online, multi-step MPC relevant identification
Bernardo B. Schwedersky, Rodolfo C.C. Flesch, Samuel Bahu Rovea
Engineering Applications of Artificial Intelligence (2021) Vol. 108, pp. 104596-104596
Closed Access | Times Cited: 11
Multi-step network traffic prediction using echo state network with a selective error compensation strategy
Ying Han, Yuanwei Jing, Georgi M. Dimirovski, et al.
Transactions of the Institute of Measurement and Control (2021) Vol. 44, Iss. 8, pp. 1656-1668
Closed Access | Times Cited: 8
A RUL Estimation System from Clustered Run-to-Failure Degradation Signals
Anthony D. Cho, Rodrigo A. Carrasco, Gonzalo A. Ruz
Sensors (2022) Vol. 22, Iss. 14, pp. 5323-5323
Open Access | Times Cited: 4
A two-stage estimation method based on Conceptors-aided unsupervised clustering and convolutional neural network classification for the estimation of the degradation level of industrial equipment
Mingjing Xu, Piero Baraldi, Zhe Yang, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118962-118962
Closed Access | Times Cited: 4
An Adaptive Generalized Cauchy Model for Remaining Useful Life Prediction of Wind Turbine Gearboxes with Long-Range Dependence
Wanqing Song, Dongdong Chen, Enrico Zio, et al.
Fractal and Fractional (2022) Vol. 6, Iss. 10, pp. 576-576
Open Access | Times Cited: 4
Fault Diagnostics by Conceptors-Aided Clustering
Mingjing Xu, Piero Baraldi, Enrico Zio
Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (2020), pp. 3656-3663
Open Access | Times Cited: 4
Deep Reinforcement Learning for Optimizing Operation and Maintenance of Energy Systems Equipped with PHM Capabilities
Luca Pinciroli, Piero Baraldi, Guido Ballabio, et al.
Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (2020), pp. 1249-1254
Open Access | Times Cited: 4
Remaining useful life prediction of rolling bearings based on performance evaluation and multifractional generalized Cauchy model with adaptive drift
Zhen Wang, Yan Gao, Wanqing Song, et al.
Transactions of the Institute of Measurement and Control (2024)
Closed Access
Reservoir Neural Network Computing for Time Series Forecasting in Aerospace: Potential Applications to Predictive Maintenance
Juan Manuel Rodríguez Riesgo, Juan Luis Cabrera
(2024), pp. 17-17
Open Access
Page 1 - Next Page

Scroll to top