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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:

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

Showing 1-25 of 260 citing articles:

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
Data-driven smart manufacturing
Fei Tao, Qinglin Qi, Ang Liu, et al.
Journal of Manufacturing Systems (2018) Vol. 48, pp. 157-169
Closed Access | Times Cited: 1333
Enabling technologies and tools for digital twin
Qinglin Qi, Fei Tao, Tianliang Hu, et al.
Journal of Manufacturing Systems (2019) Vol. 58, pp. 3-21
Closed Access | Times Cited: 1076
A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs)
Sameer Mittal, Muztoba Ahmad Khan, David Romero, et al.
Journal of Manufacturing Systems (2018) Vol. 49, pp. 194-214
Closed Access | Times Cited: 862
Predictive maintenance in the Industry 4.0: A systematic literature review
Tiago Zonta, Cristiano André da Costa, Rodrigo da Rosa Righi, et al.
Computers & Industrial Engineering (2020) Vol. 150, pp. 106889-106889
Closed Access | Times Cited: 731
Enabling technologies for fog computing in healthcare IoT systems
Ammar Awad Mutlag, Mohd Khanapi Abd Ghani, N. Arunkumar, et al.
Future Generation Computer Systems (2018) Vol. 90, pp. 62-78
Closed Access | Times Cited: 525
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
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
A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation
Sachin Kamble, Angappa Gunasekaran, Abhijeet Ghadge, et al.
International Journal of Production Economics (2020) Vol. 229, pp. 107853-107853
Open Access | Times Cited: 296
Fog Computing for the Internet of Things
Carlo Puliafito, Enzo Mingozzi, Francesco Longo, et al.
ACM Transactions on Internet Technology (2019) Vol. 19, Iss. 2, pp. 1-41
Open Access | Times Cited: 290
Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies
Hong‐Ning Dai, Hao Wang, Guangquan Xu, et al.
Enterprise Information Systems (2019) Vol. 14, Iss. 9-10, pp. 1279-1303
Open Access | Times Cited: 288
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
Cloud-based manufacturing equipment and big data analytics to enable on-demand manufacturing services
Yuqian Lu, Xun Xu
Robotics and Computer-Integrated Manufacturing (2018) Vol. 57, pp. 92-102
Closed Access | Times Cited: 246
Machine vision intelligence for product defect inspection based on deep learning and Hough transform
Jinjiang Wang, Peilun Fu, Robert X. Gao
Journal of Manufacturing Systems (2019) Vol. 51, pp. 52-60
Closed Access | Times Cited: 245
Edge Computing with Artificial Intelligence: A Machine Learning Perspective
Haochen Hua, Yutong Li, Tonghe Wang, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-35
Open Access | Times Cited: 216
Scheduling Internet of Things requests to minimize latency in hybrid Fog–Cloud​ computing
Raafat Aburukba, Mazin AliKarrar, Taha Landolsi, et al.
Future Generation Computer Systems (2019) Vol. 111, pp. 539-551
Closed Access | Times Cited: 205
A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect
Chao Liu, Hrishikesh Vengayil, Yuqian Lu, et al.
Journal of Manufacturing Systems (2019) Vol. 51, pp. 61-74
Open Access | Times Cited: 198
Smart manufacturing systems: state of the art and future trends
Yuanju Qu, Xinguo Ming, Z. W. Liu, et al.
The International Journal of Advanced Manufacturing Technology (2019) Vol. 103, Iss. 9-12, pp. 3751-3768
Closed Access | Times Cited: 196
Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning
Yuyan Zhang, Xinyu Li, Liang Gao, et al.
Journal of Manufacturing Systems (2018) Vol. 48, pp. 34-50
Closed Access | Times Cited: 187
Multistage implementation framework for smart supply chain management under industry 4.0
Xuefeng Shao, Wei Liu, Yi Li, et al.
Technological Forecasting and Social Change (2020) Vol. 162, pp. 120354-120354
Open Access | Times Cited: 179
Industrial Internet of Things: A Systematic Literature Review and Insights
Yongxin Liao, Eduardo de Freitas Rocha Loures, Fernando Deschamps
IEEE Internet of Things Journal (2018) Vol. 5, Iss. 6, pp. 4515-4525
Closed Access | Times Cited: 177
Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems
Chao Liu, Léopold Le Roux, Carolin Körner, et al.
Journal of Manufacturing Systems (2020) Vol. 62, pp. 857-874
Open Access | Times Cited: 167
IDARTS – Towards intelligent data analysis and real-time supervision for industry 4.0
Ricardo Silva Peres, André Dionísio Rocha, Paulo Leitão, et al.
Computers in Industry (2018) Vol. 101, pp. 138-146
Closed Access | Times Cited: 165
Towards edge computing in intelligent manufacturing: Past, present and future
Garima Nain, K. K. Pattanaik, G.K. Sharma
Journal of Manufacturing Systems (2022) Vol. 62, pp. 588-611
Closed Access | Times Cited: 130
Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review
Yuekai Liu, Liang Guo, Hongli Gao, et al.
Mechanical Systems and Signal Processing (2021) Vol. 164, pp. 108068-108068
Closed Access | Times Cited: 117
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