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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:

Integration of Maintenance Management System Functions with Industry 4.0 Technologies and Features—A Review
Basheer Shaheen, István Németh
Processes (2022) Vol. 10, Iss. 11, pp. 2173-2173
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Review of Industry 4.0 from the Perspective of Automation and Supervision Systems: Definitions, Architectures and Recent Trends
Francisco Javier Folgado, David Calderón, Isaías González, et al.
Electronics (2024) Vol. 13, Iss. 4, pp. 782-782
Open Access | Times Cited: 54
Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework
Foivos Psarommatis, Gökan May, Victor Azamfirei
Journal of Manufacturing Systems (2023) Vol. 68, pp. 376-399
Open Access | Times Cited: 53
Optimizing energy efficiency in data center cooling towers through predictive maintenance and project management
Wisdom Ebirim, Favour Oluwadamilare Usman, Kehinde Andrew Olu-lawal, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 2, pp. 1782-1790
Open Access | Times Cited: 18
A deep reinforcement learning model for dynamic job-shop scheduling problem with uncertain processing time
Xinquan Wu, Xuefeng Yan, Donghai Guan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107790-107790
Closed Access | Times Cited: 16
Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review
Sylwia Werbińska-Wojciechowska, Klaudia Winiarska
Sensors (2023) Vol. 23, Iss. 3, pp. 1409-1409
Open Access | Times Cited: 32
REVIEW ON THE EVOLUTION AND IMPACT OF IOT-DRIVEN PREDICTIVE MAINTENANCE: ASSESSING ADVANCEMENTS, THEIR ROLE IN ENHANCING SYSTEM LONGEVITY, AND SUSTAINABLE OPERATIONS IN BOTH MECHANICAL AND ELECTRICAL REALMS
Joachim Osheyor Gidiagba, Nwabueze Kelvin Nwaobia, Preye Winston Biu, et al.
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 1, pp. 166-189
Open Access | Times Cited: 11
Towards the industry 5.0 frontier: Review and prospect of XR in product assembly
Binbin Wang, Lianyu Zheng, Yiwei Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 777-811
Closed Access | Times Cited: 9
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
Prediction of the Ultimate Tensile Strength (UTS) of Asymmetric Friction Stir Welding Using Ensemble Machine Learning Methods
Surasak Matitopanum, Rapeepan Pitakaso, Kanchana Sethanan, et al.
Processes (2023) Vol. 11, Iss. 2, pp. 391-391
Open Access | Times Cited: 13
Exploring the potential benefits and challenges of artificial intelligence for research funding organisations: a scoping review
Amanda Blatch-Jones, Hazel Church, Ksenia Crane
F1000Research (2025) Vol. 14, pp. 126-126
Open Access
Emerging Practices in Risk-Based Maintenance Management Driven by Industrial Transitions: Multi-Case Studies and Reflections
Idriss El‐Thalji
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1159-1159
Open Access
Chat with MES: LLM-driven user interface for manipulating garment manufacturing system through natural language
Zhaolin Yuan, Ming Li, Chang Liu, et al.
Journal of Manufacturing Systems (2025)
Open Access
A reliability centred maintenance-oriented framework for modelling, evaluating, and optimising complex repairable flow networks
Nicholas Kaliszewski, Romeo Marian, Javaan Chahl
Complex & Intelligent Systems (2025) Vol. 11, Iss. 5
Open Access
Synergies between Lean and Industry 4.0 for Enhanced Maintenance Management in Sustainable Operations: A Model Proposal
David Mendes, Pedro Dinis Gaspar, Fernando Charrua-Santos, et al.
Processes (2023) Vol. 11, Iss. 9, pp. 2691-2691
Open Access | Times Cited: 7
Construction Health Indicator using Physically-Informed 1D-WGAN-GP Joint Attention LSTM-DenseNet Method
Hai Yang, Xudong Yang, Dong Sun, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076204-076204
Open Access | Times Cited: 2
Enhancing the maintenance strategy and cost in systems with surrogate assisted multiobjective evolutionary algorithms
David Greiner, Andrés Cacereño
Developments in the Built Environment (2024) Vol. 19, pp. 100478-100478
Open Access | Times Cited: 2
Maintenance 4.0 Technologies for Sustainable Manufacturing
Małgorzata Jasiulewicz–Kaczmarek
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7360-7360
Open Access | Times Cited: 2
Prognostics for Semiconductor Sustainability: Tool Failure Behavior Prediction in Fabrication Processes
Li Zhu, Junghui Chen, Chun-I Chen
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 6, pp. 3450-3460
Closed Access | Times Cited: 1
Forces transforming transport and logistics into smarter sustainable systems
Félix-Eduardo Bueno-Pascual
IntechOpen eBooks (2024)
Open Access | Times Cited: 1
Optimization of preventive maintenance on critical machines at the Sabiz 1 plant using Reliability-Centered Maintenance method
Sally Cahyati, Sofia Debi Puspa, Riswanda Himawan, et al.
SINERGI (2024) Vol. 28, Iss. 2, pp. 355-355
Open Access | Times Cited: 1
A methodological review on the combined use of mixed reality and artificial intelligence for predictive maintenance in industry
Matthias Razum, Simeu-Abazi Zineb, Gascard Eric
(2024), pp. 1-6
Closed Access | Times Cited: 1
Integrating Maintenance Practices with Industry 4.0 in Manufacturing System
Effiong U. Kufre, Anthony O. Onokwai, Morakinyo K. Onifade
(2024), pp. 1-5
Closed Access | Times Cited: 1
Exploring the potential benefits and challenges of artificial intelligence for research funding organisations: a scoping review
Amanda Blatch-Jones, Hazel Church, Ksenia Crane
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Ensuring efficiency of technical operation of equipment for workover operation
Andrii Buchynskyi, Taras Romanyshyn, Myroslav Buchynskyi, et al.
Production Engineering Archives (2023) Vol. 29, Iss. 3, pp. 337-347
Open Access | Times Cited: 3
“Technology” as the fourth dimension of sustainable maintenance management
Małgorzata Jasiulewicz–Kaczmarek, Katarzyna Antosz, Robert Waszkowski, et al.
IFAC-PapersOnLine (2023) Vol. 56, Iss. 2, pp. 162-167
Open Access | Times Cited: 3
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