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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:

Machine learning and data mining in manufacturing
Alican Doğan, Derya Birant
Expert Systems with Applications (2020) Vol. 166, pp. 114060-114060
Closed Access | Times Cited: 509

Showing 1-25 of 509 citing articles:

Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm
Tanveer Ahmad, Rafał Madoński, Dongdong Zhang, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 160, pp. 112128-112128
Closed Access | Times Cited: 336
Machine Learning and Deep Learning in Energy Systems: A Review
Mohammad Mahdi Forootan, Iman Larki, Rahim Zahedi, et al.
Sustainability (2022) Vol. 14, Iss. 8, pp. 4832-4832
Open Access | Times Cited: 151
Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects
Natei Ermias Benti, Mesfin Diro Chaka, Addisu Gezahegn Semie
Sustainability (2023) Vol. 15, Iss. 9, pp. 7087-7087
Open Access | Times Cited: 83
LOWESS smoothing and Random Forest based GRU model: A short-term photovoltaic power generation forecasting method
Yeming Dai, Yanxin Wang, Mingming Leng, et al.
Energy (2022) Vol. 256, pp. 124661-124661
Closed Access | Times Cited: 71
Machine learning assisted advanced battery thermal management system: A state-of-the-art review
Ao Li, Jingwen Weng, Anthony Chun Yin Yuen, et al.
Journal of Energy Storage (2023) Vol. 60, pp. 106688-106688
Closed Access | Times Cited: 49
Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review
Ahmed I. Osman, Mahmoud Nasr, Mohamed Farghali, et al.
Environmental Chemistry Letters (2024) Vol. 22, Iss. 3, pp. 1005-1071
Open Access | Times Cited: 43
State-of-the-art AI-based computational analysis in civil engineering
Chen Wang, Ling-han Song, Yuan Zhou, et al.
Journal of Industrial Information Integration (2023) Vol. 33, pp. 100470-100470
Closed Access | Times Cited: 39
AI in analytical chemistry: Advancements, challenges, and future directions
Rafael Cardoso Rial
Talanta (2024) Vol. 274, pp. 125949-125949
Closed Access | Times Cited: 23
A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions
Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Yannis C. Stamatiou
Eng—Advances in Engineering (2024) Vol. 5, Iss. 3, pp. 1266-1297
Open Access | Times Cited: 19
Intelligent Productivity Transformation
Bojing Liu, Mengxiang Li, Zihui Ji, et al.
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-27
Open Access | Times Cited: 17
Advancing environmental sustainability in the creative sectors: A strategic HR framework based on data analytics and eco-innovation
Irunna Ejibe, Tochukwu Chinwuba Nwankwo, Ekene Ezinwa Nwankwo, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 3, pp. 050-060
Open Access | Times Cited: 14
A novel decision support system for managing predictive maintenance strategies based on machine learning approaches
Simone Arena, E. Florian, Ilenia Zennaro, et al.
Safety Science (2021) Vol. 146, pp. 105529-105529
Closed Access | Times Cited: 95
A novel orthogonal self-attentive variational autoencoder method for interpretable chemical process fault detection and identification
Xiaotian Bi, Jinsong Zhao
Process Safety and Environmental Protection (2021) Vol. 156, pp. 581-597
Closed Access | Times Cited: 72
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
Dark Web Illegal Activities Crawling and Classifying Using Data Mining Techniques
Abdul Hadi M. Alaidi, Roa’a M. Al airaji, Haider TH. Salim ALRikabi, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2022) Vol. 16, Iss. 10, pp. 122-139
Open Access | Times Cited: 63
Applications of Machine Learning in Process Monitoring and Controls of L-PBF Additive Manufacturing: A Review
Dalia Mahmoud, Marcin Magolon, Jan Boer, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 11910-11910
Open Access | Times Cited: 59
A Review of Data Mining Applications in Semiconductor Manufacturing
Pedro Espadinha-Cruz, Radu Godina, Eduardo M. G. Rodrigues
Processes (2021) Vol. 9, Iss. 2, pp. 305-305
Open Access | Times Cited: 57
Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines
Marcelo Luis Ruiz Rodríguez, Sylvain Kubler, Andrea de Giorgio, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 78, pp. 102406-102406
Open Access | Times Cited: 52
A reinforcement learning based artificial bee colony algorithm with application in robot path planning
Yibing Cui, Wei Hu, Ahmed Rahmani
Expert Systems with Applications (2022) Vol. 203, pp. 117389-117389
Closed Access | Times Cited: 46
Using artificial intelligence to improve pain assessment and pain management: a scoping review
Meina Zhang, Linzee Zhu, Shih‐Yin Lin, et al.
Journal of the American Medical Informatics Association (2022) Vol. 30, Iss. 3, pp. 570-587
Open Access | Times Cited: 46
Online quality inspection of resistance spot welding for automotive production lines
Wei Dai, Dayong Li, Yongjia Zheng, et al.
Journal of Manufacturing Systems (2022) Vol. 63, pp. 354-369
Closed Access | Times Cited: 39
A decision support system for classifying supplier selection criteria using machine learning and random forest approach
Md. Ramjan Ali, Shah Md Ashiquzzaman Nipu, Sharfuddin Ahmed Khan
Decision Analytics Journal (2023) Vol. 7, pp. 100238-100238
Open Access | Times Cited: 36
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
Development of Intelligent Fault-Tolerant Control Systems with Machine Learning, Deep Learning, and Transfer Learning Algorithms: A Review
Arslan Ahmed Amin, Muhammad Sajid Iqbal, Muhammad Hamza Shahbaz
Expert Systems with Applications (2023) Vol. 238, pp. 121956-121956
Closed Access | Times Cited: 33
X-ray Diffraction Data Analysis by Machine Learning Methods—A Review
Vasile-Adrian Surdu, Romuald Győrgy
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9992-9992
Open Access | Times Cited: 32
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