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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:

Cloud-enabled prognosis for manufacturing
Robert X. Gao, Lihui Wang, Roberto Teti, et al.
CIRP Annals (2015) Vol. 64, Iss. 2, pp. 749-772
Open Access | Times Cited: 327

Showing 1-25 of 327 citing articles:

Cyber-physical systems in manufacturing
László Monostori, Botond Kádár, Thomas Bauernhansl, et al.
CIRP Annals (2016) Vol. 65, Iss. 2, pp. 621-641
Closed Access | Times Cited: 1451
A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises
Andreas Schumacher, Selim Erol, Wilfried Sihn
Procedia CIRP (2016) Vol. 52, pp. 161-166
Open Access | Times Cited: 1415
Deep learning for smart manufacturing: Methods and applications
Jinjiang Wang, Yulin Ma, Laibin Zhang, et al.
Journal of Manufacturing Systems (2018) Vol. 48, pp. 144-156
Closed Access | Times Cited: 1352
Digital twin driven prognostics and health management for complex equipment
Fei Tao, Meng Zhang, Yushan Liu, et al.
CIRP Annals (2018) Vol. 67, Iss. 1, pp. 169-172
Closed Access | Times Cited: 715
The evolution and future of manufacturing: A review
Behzad Esmaeilian, Sara Behdad, Ben Wang
Journal of Manufacturing Systems (2016) Vol. 39, pp. 79-100
Closed Access | Times Cited: 601
Tangible Industry 4.0: A Scenario-Based Approach to Learning for the Future of Production
Selim Erol, Andreas Jäger, Philipp Hold, et al.
Procedia CIRP (2016) Vol. 54, pp. 13-18
Open Access | Times Cited: 579
A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests
Dazhong Wu, Connor Jennings, Janis Terpenny, et al.
Journal of Manufacturing Science and Engineering (2017) Vol. 139, Iss. 7
Open Access | Times Cited: 527
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
Jinjiang Wang, Lunkuan Ye, Robert X. Gao, et al.
International Journal of Production Research (2018) Vol. 57, Iss. 12, pp. 3920-3934
Closed Access | Times Cited: 418
New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics
Fei Tao, Qinglin Qi
IEEE Transactions on Systems Man and Cybernetics Systems (2017) Vol. 49, Iss. 1, pp. 81-91
Closed Access | Times Cited: 388
Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges
Jovani Dalzochio, Rafael Kunst, Edison Pignaton de Freitas, et al.
Computers in Industry (2020) Vol. 123, pp. 103298-103298
Closed Access | Times Cited: 386
Long short-term memory for machine remaining life prediction
Jianjing Zhang, Peng Wang, Ruqiang Yan, et al.
Journal of Manufacturing Systems (2018) Vol. 48, pp. 78-86
Closed Access | Times Cited: 369
Gesture recognition for human-robot collaboration: A review
Hongyi Liu, Lihui Wang
International Journal of Industrial Ergonomics (2017) Vol. 68, pp. 355-367
Closed Access | Times Cited: 365
Reconfigurable manufacturing systems: Principles, design, and future trends
Yoram Koren, Xi Gu, Weihong Guo
Frontiers of Mechanical Engineering (2017) Vol. 13, Iss. 2, pp. 121-136
Open Access | Times Cited: 346
Defining and assessing industry 4.0 maturity levels – case of the defence sector
Lee Bibby, Benjamin Dehe
Production Planning & Control (2018) Vol. 29, Iss. 12, pp. 1030-1043
Open Access | Times Cited: 345
Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook
Jorge Arinez, Qing Chang, Robert X. Gao, et al.
Journal of Manufacturing Science and Engineering (2020) Vol. 142, Iss. 11
Open Access | Times Cited: 343
Continuous maintenance and the future – Foundations and technological challenges
Rajkumar Roy, Rainer Stark, Kirsten Tracht, et al.
CIRP Annals (2016) Vol. 65, Iss. 2, pp. 667-688
Open Access | Times Cited: 279
Manufacturing big data ecosystem: A systematic literature review
Yesheng Cui, Sami Kara, Ka Ching Chan
Robotics and Computer-Integrated Manufacturing (2019) Vol. 62, pp. 101861-101861
Closed Access | Times Cited: 279
Industry 4.0: Smart Scheduling
Daniel Alejandro Rossit, Fernando Tohmé, Mariano Frutos
International Journal of Production Research (2018) Vol. 57, Iss. 12, pp. 3802-3813
Open Access | Times Cited: 272
A survey of the advancing use and development of machine learning in smart manufacturing
Michael Sharp, Ronay Ak, Thomas Hedberg
Journal of Manufacturing Systems (2018) Vol. 48, pp. 170-179
Open Access | Times Cited: 266
Predictive Maintenance and Intelligent Sensors in Smart Factory: Review
Martin Pech, Jaroslav Vrchota, J. Bednář
Sensors (2021) Vol. 21, Iss. 4, pp. 1470-1470
Open Access | Times Cited: 265
A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing
Dazhong Wu, Shaopeng Liu, Li Zhang, et al.
Journal of Manufacturing Systems (2017) Vol. 43, pp. 25-34
Closed Access | Times Cited: 260
A cloud-based cyber-physical system for adaptive shop-floor scheduling and condition-based maintenance
Dimitris Mourtzis, Ekaterini Vlachou
Journal of Manufacturing Systems (2018) Vol. 47, pp. 179-198
Closed Access | Times Cited: 253
The concept and progress of intelligent spindles: A review
Hongrui Cao, Xingwu Zhang, Xuefeng Chen
International Journal of Machine Tools and Manufacture (2016) Vol. 112, pp. 21-52
Closed Access | Times Cited: 248
Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction
Jinjiang Wang, Jianxing Yan, Chen Li, et al.
Computers in Industry (2019) Vol. 111, pp. 1-14
Closed Access | Times Cited: 190
Global production networks: Design and operation
Gisela Lanza, Kasra Ferdows, Sami Kara, et al.
CIRP Annals (2019) Vol. 68, Iss. 2, pp. 823-841
Closed Access | Times Cited: 190
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