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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 Review on Data-Driven Quality Prediction in the Production Process with Machine Learning for Industry 4.0
Abdul Quadir, Keshav Jha, Sabireen Haneef, et al.
Processes (2022) Vol. 10, Iss. 10, pp. 1966-1966
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Exploring the Challenges of Industry 4.0 Adoption in the FMCG Sector: Implications for Resilient Supply Chain in Emerging Economy
Md Shihab Shakur, Maishat Lubaba, Binoy Debnath, et al.
Logistics (2024) Vol. 8, Iss. 1, pp. 27-27
Open Access | Times Cited: 21
Advanced Electronic and Optoelectronic Sensors, Applications, Modelling and Industry 5.0 Perspectives
Alessandro Massaro
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4582-4582
Open Access | Times Cited: 19
A novel modeling strategy for the prediction on the concentration of H2 and CH4 in raw coke oven gas
Yang Lei, Yuming Chen, Jinghai Chen, et al.
Energy (2023) Vol. 273, pp. 127126-127126
Open Access | Times Cited: 15
Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network
Yan Zhang, Jie Cao, Xiaoqiang Zhao, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Treatment of an Unconfirmed Quality According to 8D Using the Problem-Solving Tool (PST) System a Case Study in an International Company
Souad Lahmine, Fatima Bennouna
Journal of Machine Engineering (2025)
Open Access
Machine Learning Algorithms for Manufacturing Quality Assurance: A Systematic Review of Performance Metrics and Applications
Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, et al.
Array (2025), pp. 100393-100393
Open 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
PAPQ: Predictive analytics of product quality in industry 4.0
Md.Anjar Ahsan, Khaleel Ahmad, Jameel Ahamed, et al.
Sustainable Operations and Computers (2023) Vol. 4, pp. 53-61
Open Access | Times Cited: 8
Prediction of compressive strength in additively fabricated part using long short term memory based neural network
Pradeep Castro, P. Gurusamy, Charan Selva Dhanush Ravi, et al.
Materials Today Communications (2023) Vol. 37, pp. 107139-107139
Closed Access | Times Cited: 8
Intelligent Bi-LSTM with Architecture Optimization for Heart Disease Prediction in WBAN through Optimal Channel Selection and Feature Selection
V. Muthu Ganesh, N. Janakiraman, Shabana Urooj, et al.
Biomedicines (2023) Vol. 11, Iss. 4, pp. 1167-1167
Open Access | Times Cited: 7
Generative Deep Learning-Based Thermographic Inspection of Artwork
Yi Liu, Fumin Wang, Zhili Jiang, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6362-6362
Open Access | Times Cited: 4
Exploring the Impact of Advanced Manufacturing Technologies in South Africa’s Pharmaceutical Industry
Makope Tshehla-Nkuna, Nita Sukdeo, Sambil Charles Mukwakungu, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Machine Learning and image analysis towards improved energy management in Industry 4.0: a practical case study on quality control
Mattia Casini, Paolo De Angelis, Marco Porrati, et al.
Energy Efficiency (2024) Vol. 17, Iss. 5
Open Access | Times Cited: 1
XEdgeAI: A human-centered industrial inspection framework with data-centric Explainable Edge AI approach
Truong Thanh Hung Nguyen, Loc Nguyen, Hung Cao
Information Fusion (2024) Vol. 116, pp. 102782-102782
Open Access | Times Cited: 1
Application of Enterprise Architecture and Artificial Neural Networks to Optimize the Production Process
Zbigniew Juzoń, Jarosław Wikarek, Paweł Sitek
Electronics (2023) Vol. 12, Iss. 9, pp. 2015-2015
Open Access | Times Cited: 3
Stacked supervised auto-encoder with graph regularization for feature extraction and fault classification in chemical processes
Dazi Li, Jianxun Liu, Xin Ma, et al.
Journal of Process Control (2023) Vol. 127, pp. 102999-102999
Closed Access | Times Cited: 3
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection
Tobias Clement, Truong Thanh Hung Nguyen, Mohamed Abdelaal, et al.
2023 IEEE International Conference on Consumer Electronics (ICCE) (2024), pp. 1-4
Open Access
Intelligent and Automated Product Quality Assurance System using Machine Learning
Aashish Arora
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 2452-2463
Open Access
Anomaly Detection via a Bottleneck Structure Robust to Noise in In-Distribution Samples
Yeongkyu Cho, Dong Hwan Lee, Youngjoo Hyun, et al.
IEEE Access (2024) Vol. 12, pp. 130264-130270
Open Access
More is better? The role of strategic data management in a lean manufacturing process
Chao-Lung Yang, Chun-Fu Chen, Jinyu Chen, et al.
Chinese Management Studies (2024)
Closed Access
Encoding Time Series as Images for Anomaly Detection in Manufacturing Processes Using Convolutional Neural Networks and Grad-CAM
Youngjoo Hyun, Youngjun Yoo, Yoon-Seok Kim, et al.
International Journal of Precision Engineering and Manufacturing (2024)
Closed Access
Deep learning-based quality prediction for multi-stage sequential hot rolling processes in heavy rail manufacturing
Xi Sun, Alessandro Beghi, Gian Antonio Susto, et al.
Computers & Industrial Engineering (2024) Vol. 196, pp. 110466-110466
Closed Access
Sustainability in Semiconductor Production via Interpretable and Reliable Predictions
Kiavash Fathi, M. E. Stramaglia, Marko Ristin, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 4, pp. 174-179
Open Access
Challenges Hindering the Promotion of Machine-Learning Techniques in the Construction Industry
Peter Adekunle, Clinton Aigbavboa, Matthew Ikuabe, et al.
Lecture notes in mechanical engineering (2024), pp. 347-358
Closed Access
Machine Learning Techniques for Quality Control in Textile Fabric Manufacturing
V. Hariharan, K. Sivaraman
(2024), pp. 902-907
Closed Access
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