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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:

Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects
Angelos Angelopoulos, Emmanouel T. Michailidis, Νικόλαος Νομικός, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 109-109
Open Access | Times Cited: 280

Showing 26-50 of 280 citing articles:

Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review
Akseer Ali Mirani, Gustavo Velasco-Hernandez, Anshul Awasthi, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5836-5836
Open Access | Times Cited: 49
PCB Defect Detection Method Based on Transformer-YOLO
Wei Chen, Zhongtian Huang, Qian Mu, et al.
IEEE Access (2022) Vol. 10, pp. 129480-129489
Open Access | Times Cited: 47
Secure Blockchain Middleware for Decentralized IIoT towards Industry 5.0: A Review of Architecture, Enablers, Challenges, and Directions
Jiewu Leng, Ziying Chen, Zhiqiang Huang, et al.
Machines (2022) Vol. 10, Iss. 10, pp. 858-858
Open Access | Times Cited: 44
Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’
Tingting Chen, Vignesh Sampath, Marvin Carl May, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1903-1903
Open Access | Times Cited: 35
The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review
Irshaad Jada, Thembekile O. Mayayise
Data and Information Management (2023) Vol. 8, Iss. 2, pp. 100063-100063
Open Access | Times Cited: 31
LSTM-based failure prediction for railway rolling stock equipment
Luigi De Simone, Enzo Caputo, Marcello Cinque, et al.
Expert Systems with Applications (2023) Vol. 222, pp. 119767-119767
Open Access | Times Cited: 26
Motivations and Challenges for Food Companies in Using IoT Sensors for Reducing Food Waste: Some Insights and a Road Map for the Future
Ramakrishnan Ramanathan, Yanqing Duan, Tahmina Ajmal, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1665-1665
Open Access | Times Cited: 23
Predictive Maintenance for Smart Industrial Systems: A Roadmap
Meriem Hafsi, Hamour Nora, Samir Ouchani
Procedia Computer Science (2023) Vol. 220, pp. 645-650
Open Access | Times Cited: 21
Featuring Healthcare, Environment, and Human Rights
Bhupinder Singh, Christian Kaunert
Advances in religious and cultural studies (ARCS) book series (2024), pp. 45-74
Closed Access | Times Cited: 10
Benefits or concerns of AI: A multistakeholder responsibility
Somesh Sharma
Futures (2024) Vol. 157, pp. 103328-103328
Open Access | Times Cited: 9
Vertical Assimilation of Artificial Intelligence and Machine Learning in Safeguarding Financial Data
Bhupinder Singh, Christian Kaunert
Advances in finance, accounting, and economics book series (2024), pp. 169-197
Closed Access | Times Cited: 8
Automatic Anomaly Detection on In-Production Manufacturing Machines Using Statistical Learning Methods
Federico Pittino, Michael Puggl, Thomas Moldaschl, et al.
Sensors (2020) Vol. 20, Iss. 8, pp. 2344-2344
Open Access | Times Cited: 54
Reliance on Artificial Intelligence, Machine Learning and Deep Learning in the Era of Industry 4.0
T. Venkat Narayana Rao, Akhila Gaddam, Muralidhar Kurni, et al.
(2021), pp. 281-299
Closed Access | Times Cited: 47
Analysis of Security Issues and Countermeasures for the Industrial Internet of Things
Shantanu Pal, Zahra Jadidi
Applied Sciences (2021) Vol. 11, Iss. 20, pp. 9393-9393
Open Access | Times Cited: 47
Service Computing for Industry 4.0: State of the Art, Challenges, and Research Opportunities
Frank Siqueira, Joseph G. Davis
ACM Computing Surveys (2021) Vol. 54, Iss. 9, pp. 1-38
Closed Access | Times Cited: 41
Review of fault detection techniques for predictive maintenance
D. Divya, M. Bhasi, M. B. Santosh Kumar
Journal of Quality in Maintenance Engineering (2022) Vol. 29, Iss. 2, pp. 420-441
Closed Access | Times Cited: 36
A comprehensive and systematic literature review on the big data management techniques in the internet of things
Arezou Naghib, Nima Jafari Navimipour, Mehdi Hosseinzadeh, et al.
Wireless Networks (2022) Vol. 29, Iss. 3, pp. 1085-1144
Open Access | Times Cited: 34
Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey
Yongjie Shi, Xianghua Ying, Jinfa Yang
Sensors (2022) Vol. 22, Iss. 15, pp. 5507-5507
Open Access | Times Cited: 32
Reliability Analysis in Cyber-Physical System Using Deep Learning for Smart Cities Industrial IoT Network Node
Anand Singh Rajawat, Pradeep Bedi, S. B. Goyal, et al.
Studies in computational intelligence (2022), pp. 157-169
Closed Access | Times Cited: 28
Data mining in predictive maintenance systems: A taxonomy and systematic review
Aurora Esteban, Amelia Zafra, Sebastián Ventura
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 28
Deep learning for the detection of machining vibration chatter
Cheick Abdoul Kadir A. Kounta, Lionel Arnaud, Bernard Kamsu-Foguem, et al.
Advances in Engineering Software (2023) Vol. 180, pp. 103445-103445
Open Access | Times Cited: 21
Fault diagnosis and self-healing for smart manufacturing: a review
Joma Aldrini, Inès Chihi, Lilia Sidhom
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2441-2473
Open Access | Times Cited: 20
Advanced Electronic and Optoelectronic Sensors, Applications, Modelling and Industry 5.0 Perspectives
Alessandro Massaro
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4582-4582
Open Access | Times Cited: 19
Federated Learning-Aided Prognostics in the Shipping 4.0: Principles, Workflow, and Use Cases
Angelos Angelopoulos, Anastasios Giannopoulos, Νικόλαος Νομικός, et al.
IEEE Access (2024) Vol. 12, pp. 6437-6454
Open Access | Times Cited: 6
Self-powered wearable Internet of Things sensors for human-machine interfaces: A systematic literature review and science mapping analysis
Qihan Jiang, Maxwell Fordjour Antwi‐Afari, Sina Fadaie, et al.
Nano Energy (2024), pp. 110252-110252
Open Access | Times Cited: 6

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