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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:

Artificial intelligence-based data-driven prognostics in industry: A survey
Mohamed A. El-Brawany, Dina A. Ibrahim, Hamdy K. Elminir, et al.
Computers & Industrial Engineering (2023) Vol. 184, pp. 109605-109605
Closed Access | Times Cited: 21

Showing 21 citing articles:

Machine learning and Bayesian optimization for performance prediction of proton-exchange membrane fuel cells
Soufian Echabarri, Phuc Do, Hai Canh Vu, et al.
Energy and AI (2024) Vol. 17, pp. 100380-100380
Open Access | Times Cited: 15
Data–model Fusion Methods and Applications toward Smart Manufacturing and Digital Engineering
Fei Tao, Yilin Li, Yupeng Wei, et al.
Engineering (2025)
Open Access | Times Cited: 1
Blockchain: The Economic and Financial Institution for Autonomous AI?
Binh Nguyen Thanh, Ha Xuan Son, Diem Thi Hong Vo
Journal of risk and financial management (2024) Vol. 17, Iss. 2, pp. 54-54
Open Access | Times Cited: 6
A Dual-Purpose Data-Model Interactive Framework for Multi-Sensor Selection and Prognosis
Huiqin Li, Zhengxin Zhang, Xiaosheng Si
Reliability Engineering & System Safety (2025), pp. 110904-110904
Closed Access
A review of prognostics and health management techniques in wind energy
Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, et al.
Reliability Engineering & System Safety (2025), pp. 111004-111004
Closed Access
A critical review on prognostics for stochastic degrading systems under big data
Huiqin Li, Xiaosheng Si, Zhengxin Zhang, et al.
Fundamental Research (2024)
Open Access | Times Cited: 4
Integrating industry 4.0 technologies in defense manufacturing: Challenges, solutions, and potential opportunities
Habib Ullah, Muhammad Uzair, Zohaib Jan, et al.
Array (2024) Vol. 23, pp. 100358-100358
Open Access | Times Cited: 4
An intelligent data-driven adaptive health state assessment approach for rolling bearings under single and multiple working conditions
Wenqin Zhao, Yaqiong Lv, C.K.M. Lee, et al.
Computers & Industrial Engineering (2025), pp. 110988-110988
Closed Access
A Survey on AI-Empowered Softwarized Industrial IoT Networks
Elisa Rojas, David Carrascal, Diego Lopez‐Pajares, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1979-1979
Open Access | Times Cited: 3
Degradation prediction for mechanical components based on transfer learning and a multistage statistical model
Chaoqun Duan, Kanghao Guo, Fuqiang Liu, et al.
Computers & Industrial Engineering (2024) Vol. 197, pp. 110485-110485
Closed Access | Times Cited: 2
Integrating machine learning and robust optimization for new product development: A consumer and expert preference-based approach
Zheng Wang, Huiran Liu, Xiaojun Fan, et al.
Computers & Industrial Engineering (2024) Vol. 197, pp. 110520-110520
Closed Access | Times Cited: 2
An Efficient Deep Learning Prognostic Model for Remaining Useful Life Estimation of High Speed CNC Milling Machine Cutters
Hamdy K. Elminir, Mohamed A. El-Brawany, Dina A. Ibrahim, et al.
Results in Engineering (2024) Vol. 24, pp. 103420-103420
Open Access | Times Cited: 2
Deep Learning Algorithms in Industry 5.0: A Comprehensive Experimental Study
Natalia Shchepkina, Awadhesh Chandramauli, Suniana Ahuja, et al.
BIO Web of Conferences (2024) Vol. 86, pp. 01067-01067
Open Access | Times Cited: 1
Accurate Agarwood Oil Quality Determination: A Breakthrough with Artificial Neural Networks and the Levenberg-Marquardt Algorithm
Siti Mariatul Hazwa Mohd Huzir, Anis Hazirah ’Izzati Hasnu Al-Hadi, Zakiah Mohd Yusoff, et al.
IEEE Access (2024) Vol. 12, pp. 50389-50403
Closed Access | Times Cited: 1
A Machine Learning Approach for Mechanical Component Design Based on Topology Optimization Considering the Restrictions of Additive Manufacturing
Abid Ullah, Karim Asami, Lukas Holtz, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 5, pp. 220-220
Open Access | Times Cited: 1
Prognostic Model of the State of GNSU Using Big Data Analysis and Neural Networks
O. Turchyn
COMPUTER-INTEGRATED TECHNOLOGIES EDUCATION SCIENCE PRODUCTION (2024), Iss. 54, pp. 43-48
Open Access
An Extensive Analysis of Technological Frameworks With the Rise of Industry 5.0
Brijesh Goswami, P. Maheswari, Kilaru Aswini, et al.
Advances in business information systems and analytics book series (2024), pp. 59-72
Closed Access
Business model innovation of advertising operation based on RBM deep neural network
You Li
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
A method for predicting remaining useful life using enhanced Savitzky–Golay filter and improved deep learning framework
Xiangyang Li, Lijun Wang, Chengguang Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
A novel adaptive cost-sensitive convolution neural network based dynamic imbalanced fault diagnosis framework for manufacturing processes
Liang Ma, Fuzhong Shi, Kaixiang Peng
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045430-045430
Closed Access
Hyperparameters Automatically Optimizing Driven Fault Diagnosis Method for Complex Hydraulic System
Bo Wang, Baoping Cai, Xiangdi Kong, et al.
(2023)
Closed Access
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