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:

Deep Learning Algorithms for Machinery Health Prognostics Using Time-Series Data: A Review
Nikhil M. Thoppil, V. Vasu, C.S.P. Rao
Journal of Vibration Engineering & Technologies (2021) Vol. 9, Iss. 6, pp. 1123-1145
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

A Review of Data-Driven Machinery Fault Diagnosis Using Machine Learning Algorithms
Jian Cen, Zhuohong Yang, Xi Liu, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2481-2507
Closed Access | Times Cited: 88

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-45
Open Access | Times Cited: 51

Consequential Advancements of Self-Supervised Learning (SSL) in Deep Learning Contexts
Mohammed Majid Abdulrazzaq, Nehad T. A. Ramaha, Alaa Ali Hameed, et al.
Mathematics (2024) Vol. 12, Iss. 5, pp. 758-758
Open Access | Times Cited: 17

Interpretable Machine Learning: A brief survey from the predictive maintenance perspective
Simon Vollert, Martin Atzmueller, Andreas Theissler
(2021), pp. 01-08
Closed Access | Times Cited: 74

Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification
Jinsong Yang, Yizhen Peng, Jingsong Xie, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4549-4549
Open Access | Times Cited: 54

Intelligent technologies for construction machinery using data-driven methods
Zhe Zheng, Fei Wang, Guofang Gong, et al.
Automation in Construction (2022) Vol. 147, pp. 104711-104711
Closed Access | Times Cited: 52

Integrated Gradient-Based Continuous Wavelet Transform for Bearing Fault Diagnosis
Junfei Du, Xinyu Li, Yiping Gao, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8760-8760
Open Access | Times Cited: 32

An Edge Intelligent Method for Bearing Fault Diagnosis Based on a Parameter Transplantation Convolutional Neural Network
Xiang Ding, Hang Wang, Zheng Cao, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1816-1816
Open Access | Times Cited: 16

New RUL Prediction Method for Rotating Machinery via Data Feature Distribution and Spatial Attention Residual Network
Weiyang Xu, Quan Jiang, Yehu Shen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 15

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: 15

Challenges on prognostics and health management for wind turbine components
Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, et al.
Journal of Physics Conference Series (2024) Vol. 2745, Iss. 1, pp. 012003-012003
Open Access | Times Cited: 5

A review of prognostics and health management techniques in wind energy
Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, et al.
Reliability Engineering & System Safety (2025), pp. 111004-111004
Closed Access

Constructing robust health indicators from complex engineered systems via anticausal learning
Georgios Koutroulis, Belgin Mutlu, Roman Kern
Engineering Applications of Artificial Intelligence (2022) Vol. 113, pp. 104926-104926
Closed Access | Times Cited: 22

Challenges and Opportunities of System-Level Prognostics
Seokgoo Kim, Joo-Ho Choi, Nam Ho Kim
Sensors (2021) Vol. 21, Iss. 22, pp. 7655-7655
Open Access | Times Cited: 22

Roller Bearing Failures Classification with Low Computational Cost Embedded Machine Learning
M. Bertocco, Ada Fort, Elia Landi, et al.
(2022), pp. 12-17
Closed Access | Times Cited: 15

Bayesian Optimization LSTM/bi-LSTM Network With Self-Optimized Structure and Hyperparameters for Remaining Useful Life Estimation of Lathe Spindle Unit
Nikhil M. Thoppil, V. Vasu, C.S.P. Rao
Journal of Computing and Information Science in Engineering (2021) Vol. 22, Iss. 2
Closed Access | Times Cited: 16

Efficient visibility algorithm for high-frequency time-series: application to fault diagnosis with graph convolutional network
Sangho Lee, Jeongsub Choi, Youngdoo Son
Annals of Operations Research (2023) Vol. 339, Iss. 1-2, pp. 813-833
Closed Access | Times Cited: 4

Understanding the Role of Sensor Optimisation in Complex Systems
Burak Suslu, Fakhre Ali, Ian Jennions
Sensors (2023) Vol. 23, Iss. 18, pp. 7819-7819
Open Access | Times Cited: 4

ANFIS-based Framework for the Prediction of Bearing’s Remaining Useful Life
Abdel wahhab Lourari, Tarak Benkedjouh, Bilal El Yousfi, et al.
International Journal of Prognostics and Health Management (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1

Revision and Implementation of Metrics to Evaluate the Performance of Prognostics Models
Márcia Baptista, Sahil Panse, Bruno F. Santos
(2024)
Open Access | Times Cited: 1

A convolutional neural-network-based diagnostic framework for industrial bearing
Bowen Yu, Chun-li Xie
Mechanical sciences (2024) Vol. 15, Iss. 1, pp. 87-98
Open Access | Times Cited: 1

ParInfoGPT: An LLM-based two-stage framework for reliability assessment of rotating machine under partial information
Zhendong Pang, Yingxin Luan, Jiahong Chen, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110312-110312
Closed Access | Times Cited: 1

Optimal Degradation-Aware Control Using Process-Controlled Sparse Bayesian Learning
Amirhossein Hosseinzadeh Dadash, Niclas Björsell
Processes (2023) Vol. 11, Iss. 11, pp. 3229-3229
Open Access | Times Cited: 2

Infinite-Horizon Degradation Control Based on Optimization of Degradation-Aware Cost Function
Amirhossein Hosseinzadeh Dadash, Niclas Björsell
Mathematics (2024) Vol. 12, Iss. 5, pp. 729-729
Open Access

Remaining useful life prediction of slewing bearings using attention mechanism enabled multivariable gated recurrent unit network
Yiyu Shao, Qinrong Qian, Hua Wang
Transactions of the Institute of Measurement and Control (2024)
Closed Access

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