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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:

Big data analytics for smart factories of the future
Robert X. Gao, Lihui Wang, Moneer Helu, et al.
CIRP Annals (2020) Vol. 69, Iss. 2, pp. 668-692
Closed Access | Times Cited: 142

Showing 1-25 of 142 citing articles:

Digital twins-based smart manufacturing system design in Industry 4.0: A review
Jiewu Leng, Dewen Wang, Weiming Shen, et al.
Journal of Manufacturing Systems (2021) Vol. 60, pp. 119-137
Closed Access | Times Cited: 482
Big data analytics for intelligent manufacturing systems: A review
Junliang Wang, Chuqiao Xu, Jie Zhang, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 738-752
Closed Access | Times Cited: 361
Evolution and future of manufacturing systems
Hoda ElMaraghy, László Monostori, Guenther Schuh, et al.
CIRP Annals (2021) Vol. 70, Iss. 2, pp. 635-658
Open Access | Times Cited: 193
A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence
Yiping Gao, Xinyu Li, Xi Vincent Wang, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 753-766
Closed Access | Times Cited: 129
Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability
Jinjiang Wang, Yilin Li, Robert X. Gao, et al.
Journal of Manufacturing Systems (2022) Vol. 63, pp. 381-391
Closed Access | Times Cited: 99
Center-based Transfer Feature Learning With Classifier Adaptation for surface defect recognition
Yan Shi, Lei Li, Jun Yang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 110001-110001
Closed Access | Times Cited: 72
The role of artificial intelligence-driven soft sensors in advanced sustainable process industries: A critical review
Yasith S. Perera, D.A.A.C. Ratnaweera, Chamila H. Dasanayaka, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105988-105988
Open Access | Times Cited: 71
Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions
Robert X. Gao, Jörg Krüger, Marion Merklein, et al.
CIRP Annals (2024) Vol. 73, Iss. 2, pp. 723-749
Open Access | Times Cited: 19
Mechanistic artificial intelligence (mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectives
Mojtaba Mozaffar, Shuheng Liao, Xiaoyu Xie, et al.
Journal of Materials Processing Technology (2021) Vol. 302, pp. 117485-117485
Open Access | Times Cited: 78
Hybrid machine learning for human action recognition and prediction in assembly
Jianjing Zhang, Peng Wang, Robert X. Gao
Robotics and Computer-Integrated Manufacturing (2021) Vol. 72, pp. 102184-102184
Closed Access | Times Cited: 71
A Hybrid Attention-Based Paralleled Deep Learning model for tool wear prediction
Jian Duan, Xi Zhang, Tielin Shi
Expert Systems with Applications (2022) Vol. 211, pp. 118548-118548
Closed Access | Times Cited: 65
A Comprehensive Review on Time Sensitive Networks with a Special Focus on Its Applicability to Industrial Smart and Distributed Measurement Systems
Tommaso Fedullo, Alberto Morato, Federico Tramarin, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1638-1638
Open Access | Times Cited: 47
MS-SSPCANet: A powerful deep learning framework for tool wear prediction
Jian Duan, Cheng Hu, Xiaobin Zhan, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 78, pp. 102391-102391
Closed Access | Times Cited: 44
Towards a firm-level technological capability framework to endorse and actualize the Fourth Industrial Revolution in developing countries
Jahan Ara Peerally, Fernando Santiago, Claudia De Fuentes, et al.
Research Policy (2022) Vol. 51, Iss. 10, pp. 104563-104563
Closed Access | Times Cited: 43
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: 36
An enhanced self-learning-based clustering scheme for real-time traffic data distribution in wireless networks
Arpit Jain, Tushar Mehrotra, Ankur Sisodia, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e17530-e17530
Open Access | Times Cited: 28
Real-Time Fault Identification System for a Retrofitted Ultra-Precision CNC Machine from Equipment's Power Consumption Data: A Case Study of an Implementation
Vignesh Selvaraj, Sangkee Min
International Journal of Precision Engineering and Manufacturing-Green Technology (2023) Vol. 10, Iss. 4, pp. 925-941
Closed Access | Times Cited: 22
Interpretable domain adaptation transformer: a transfer learning method for fault diagnosis of rotating machinery
Dongdong Liu, Lingli Cui, Gang Wang, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 13
Implementing circular economy activities in manufacturing for environmental sustainability
Tomohiko Sakao, Nancy Bocken, Nabil Nasr, et al.
CIRP Annals (2024) Vol. 73, Iss. 2, pp. 457-481
Open Access | Times Cited: 12
Impact of big data analytics on telecom companies' competitive advantage
Ali Ra’Ed Alshawawreh, Francisco Liébana‐Cabanillas, Francisco Javier Blanco-Encomienda
Technology in Society (2024) Vol. 76, pp. 102459-102459
Open Access | Times Cited: 11
Tool wear prediction method based on symmetrized dot pattern and multi-covariance Gaussian process regression
Chuandong Zhang, Wei Wang, Hai Li
Measurement (2021) Vol. 189, pp. 110466-110466
Closed Access | Times Cited: 40
Adaptive Cognitive Manufacturing System (ACMS) – a new paradigm
Hoda ElMaraghy, Waguih ElMaraghy
International Journal of Production Research (2022) Vol. 60, Iss. 24, pp. 7436-7449
Closed Access | Times Cited: 33
Digital twins for electro-physical, chemical, and photonic processes
Y. B. Guo, A. Klink, Paulo Bártolo, et al.
CIRP Annals (2023) Vol. 72, Iss. 2, pp. 593-619
Open Access | Times Cited: 18
Platform-based manufacturing
Tullio Tolio, László Monostori, József Váncza, et al.
CIRP Annals (2023) Vol. 72, Iss. 2, pp. 697-723
Open Access | Times Cited: 16
Artificial intelligence for throughput bottleneck analysis – State-of-the-art and future directions
Mukund Subramaniyan, Anders Skoogh, Jon Bokrantz, et al.
Journal of Manufacturing Systems (2021) Vol. 60, pp. 734-751
Open Access | Times Cited: 40
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