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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:

Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
Yuxin Wen, Md Fashiar Rahman, Honglun Xu, et al.
Measurement (2021) Vol. 187, pp. 110276-110276
Open Access | Times Cited: 145

Showing 51-75 of 145 citing articles:

A Fault Detection of Aero-engine Rolling Bearings based on CNN-BiLSTM Network Integrated Cross-Attention
Zhilei Jiang, Yang Li, Jinke Gao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126116-126116
Closed Access | Times Cited: 2
Predictive framework for remaining useful life of roller bearings: Utilizing fractional generalized Pareto degradation model in performance evaluation
Wanqing Song, Zhen Wang, Aleksey Kudreyko
Measurement (2024), pp. 115772-115772
Closed Access | Times Cited: 2
The influence of predictive maintenance in industry 4.0: A systematic literature review
Hajar Toumi, Anwar Meddaoui, Mustapha Hain
2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) (2022)
Closed Access | Times Cited: 11
On Smart Geometric Non-Destructive Evaluation: Inspection Methods, Overview, and Challenges
Ali Jaber, Sasan Sattarpanah Karganroudi, Mohammad Saleh Meiabadi, et al.
Materials (2022) Vol. 15, Iss. 20, pp. 7187-7187
Open Access | Times Cited: 11
Machine Learning Based Predictive Maintenance: Review, Challenges and Workflow
Nawal Daoudi, Smail Zaki, Mohamed Aboussaleh
Lecture notes in networks and systems (2023), pp. 71-88
Closed Access | Times Cited: 6
A Method of Predicting Wear and Damage of Pantograph Sliding Strips Based on Artificial Neural Networks
Małgorzata Kuźnar, Augustyn Lorenc
Materials (2021) Vol. 15, Iss. 1, pp. 98-98
Open Access | Times Cited: 14
Selection of Maintenance Strategies for Machines in a Series-Parallel System
Bożena Zwolińska, Jakub Wiercioch
Sustainability (2022) Vol. 14, Iss. 19, pp. 11953-11953
Open Access | Times Cited: 10
Improving Prescriptive Maintenance by Incorporating Post-Prognostic Information Through Chance Constraints
Anthony D. Cho, Rodrigo A. Carrasco, Gonzalo A. Ruz
IEEE Access (2022) Vol. 10, pp. 55924-55932
Open Access | Times Cited: 9
A review of failure prognostics for predictive maintenance of offshore wind turbines
Wanwan Zhang, Jørn Vatn, Adil Rasheed
Journal of Physics Conference Series (2022) Vol. 2362, Iss. 1, pp. 012043-012043
Open Access | Times Cited: 9
The Statistical Data-driven Remaining Useful Life Prediction—A Review on the Wiener Process-based Method
Qingluan Guan, Xiukun Wei
(2023)
Closed Access | Times Cited: 5
Explainable Predictive Maintenance is Not Enough: Quantifying Trust in Remaining Useful Life Estimation
Ripan Kumar Kundu, Khaza Anuarul Hoque
Annual Conference of the PHM Society (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Optimisation of Maintenance Policies Based on Right-Censored Failure Data Using a Semi-Markovian Approach
Antonio Sánchez-Herguedas, Ángel Isidro Mena Nieto, Francisco Rodrigo-Muñoz, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1432-1432
Open Access | Times Cited: 8
Coupling principal component analysis-based sensor data reduction techniques and multi-net systems for simultaneous prediction of multi-component degradation levels in hybrid electric rotorcraft engines
Maria Grazia De Giorgi, Teresa Donateo, Antonio Ficarella, et al.
Measurement (2024) Vol. 227, pp. 114212-114212
Open Access | Times Cited: 1
Artificial intelligence and edge computing for machine maintenance-review
Abubakar Bala, Rahimi Zaman Jusoh A. Rashid, Idris Ismail, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 1
Machine-Learning-Enabled Diagnostics with Improved Visualization of Disease Lesions in Chest X-ray Images
Md Fashiar Rahman, Tzu-Liang Tseng, Michael Pokojovy, et al.
Diagnostics (2024) Vol. 14, Iss. 16, pp. 1699-1699
Open Access | Times Cited: 1
A generalized network with domain invariance and specificity representation for bearing remaining useful life prediction under unknown conditions
Qing Zheng, Pengtao Teng, Kai Zhang, et al.
Knowledge-Based Systems (2024), pp. 112915-112915
Closed Access | Times Cited: 1
Deep learning and data augmentation for robust battery state of charge estimation in electric vehicles
Anass Elachhab, El Mehdi Laadissi, Abdelhakim Tabine, et al.
Electrical Engineering (2024)
Closed Access | Times Cited: 1
Machine Learning Use-Cases in C-ITS Applications
Norman Bereczki, Vilmos Simon
Híradástechnika/Infocommunications journal (2023) Vol. 15, Iss. 1, pp. 26-43
Open Access | Times Cited: 4
Development of a hybrid predictive maintenance model
Jakub Wiercioch
Journal of Konbin (2023) Vol. 53, Iss. 2, pp. 141-158
Open Access | Times Cited: 4
Research on Comprehensive Operation and Maintenance Based on the Fault Diagnosis System of Combine Harvester
Weipeng Zhang, Bo Zhao, Liming Zhou, et al.
Agriculture (2022) Vol. 12, Iss. 6, pp. 893-893
Open Access | Times Cited: 7
A New Model for Remaining Useful Life Prediction Based on NICE and TCN-BiLSTM under Missing Data
Jianfei Zheng, Bowei Zhang, Jing Ma, et al.
Machines (2022) Vol. 10, Iss. 11, pp. 974-974
Open Access | Times Cited: 7
Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data
Enzo Losi, Mauro Venturini, Lucrezia Manservigi, et al.
Journal of Engineering for Gas Turbines and Power (2022) Vol. 145, Iss. 3
Closed Access | Times Cited: 6
TinyML-based approach for Remaining Useful Life Prediction of Turbofan Engines
Georgios Athanasakis, Gabriel Filios, Ioannis Katsidimas, et al.
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) (2022), pp. 1-8
Closed Access | Times Cited: 6
Quasi-periodic Inspection and Preventive Maintenance Policy Optimisation for a system with Wiener Process degradation
Wenke Gao, Yu Wang, Xiwen Zhang, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 2
Open Access | Times Cited: 3
Transactional and Transformational Leadership Styles and Their Impact on Employees’ Acceptance of Predictive Maintenance Analytics: Evidence From an Indonesian Mining Company
Wiwin Sujati, Gatot Yudoko, Liane Okdinawati
IEEE Access (2023) Vol. 11, pp. 49675-49688
Open Access | Times Cited: 3

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