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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 Machine Learning Models in Injection Molding Machines
Senthil Kumaran Selvaraj, Aditya Raj, R. Rishikesh Mahadevan, et al.
Advances in Materials Science and Engineering (2022) Vol. 2022, pp. 1-28
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Performance evaluation of 3D printing technologies: a review, recent advances, current challenges, and future directions
Utkarsh Chadha, Aarye Abrol, Naman Paras Vora, et al.
Progress in Additive Manufacturing (2022) Vol. 7, Iss. 5, pp. 853-886
Closed Access | Times Cited: 99
Machine learning for polymer composites process simulation – a review
Stefano Cassola, Miro Duhovic, Tim Schmidt, et al.
Composites Part B Engineering (2022) Vol. 246, pp. 110208-110208
Closed Access | Times Cited: 60
Industrial internet of things in intelligent manufacturing: a review, approaches, opportunities, open challenges, and future directions
Priyanshi Gupta, Chaitanya Krishna, Rahul Rajesh, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2022)
Closed Access | Times Cited: 39
A novel DL-BiGRU multi-feature fusion and deep transfer learning based modeling approach for quality prediction of injection molded products using small-sample datasets
Qingjie Qian, Junhe Yu, Hongfei Zhan, et al.
Journal of Manufacturing Processes (2024) Vol. 120, pp. 272-285
Closed Access | Times Cited: 6
The Integration of Advanced Mechatronic Systems into Industry 4.0 for Smart Manufacturing
Mutaz Ryalat, Enrico Franco, Hisham ElMoaqet, et al.
Sustainability (2024) Vol. 16, Iss. 19, pp. 8504-8504
Open Access | Times Cited: 5
Advancements of machine learning techniques in fiber-filled polymer composites: a review
R. Alagulakshmi, R. Ramalakshmi, V. Arumugaprabu, et al.
Polymer Bulletin (2025)
Closed Access
Recent developments of in-situ process and in-line quality monitoring in injection molding using intelligent sensors
Sanghun Shin, Keuntae Baek, Jae‐Min Oh, et al.
Sensors and Actuators A Physical (2025), pp. 116248-116248
Closed Access
Computational AI models in VAT photopolymerization: a review, current trends, open issues, and future opportunities
Isha Sachdeva, Sivasubramani Ramesh, Utkarsh Chadha, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 20, pp. 17207-17229
Closed Access | Times Cited: 24
Industry 4.0 In-Line AI Quality Control of Plastic Injection Molded Parts
Saeid Saeidi Aminabadi, Paul Tabatabai, Alexander Steiner, et al.
Polymers (2022) Vol. 14, Iss. 17, pp. 3551-3551
Open Access | Times Cited: 22
Generative machine learning-based multi-objective process parameter optimization towards energy and quality of injection molding
Yirun Wu, Yiqing Feng, Shitong Peng, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 18, pp. 51518-51530
Closed Access | Times Cited: 15
Application of supervised machine learning methods in injection molding process for initial parameters setting: prediction of the cooling time parameter
Faouzi Tayalati, Abdellah Azmani, Monir Azmani
Progress in Artificial Intelligence (2024)
Closed Access | Times Cited: 4
A Two-Step Approach for Trend Detection in Injection Molding: Mann-Kendall Test and Decision Trees
Duy Doan, Johannes Himmelbauer
Procedia Computer Science (2025) Vol. 253, pp. 2003-2013
Open Access
Inverse modeling of process parameters from data to predict the cooling behavior in injection molding
M. Wenzel, Sven Robert Raisch, Christian Hopmann, et al.
Journal of Manufacturing Processes (2025) Vol. 141, pp. 760-772
Closed Access
Quality control tools and digitalization of real-time data in sustainable manufacturing
Akshay Pradeep Menon, Vedang Lahoti, Neha Gunreddy, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2022)
Closed Access | Times Cited: 18
Polymeric Materials Obtained by Extrusion and Injection Molding from Lignocellulosic Agroindustrial Biomass
A. B. Pacheco, Arian Evangelista-Osorio, Katherine Gabriela Muchaypiña-Flores, et al.
Polymers (2023) Vol. 15, Iss. 20, pp. 4046-4046
Open Access | Times Cited: 10
Directed Energy Deposition via Artificial Intelligence-Enabled Approaches
Utkarsh Chadha, Senthil Kumaran Selvaraj, Aakrit Sharma Lamsal, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 15
Phase Change Materials in Metal Casting Processes: A Critical Review and Future Possibilities
Utkarsh Chadha, Senthil Kumaran Selvaraj, Harshita Pant, et al.
Advances in Materials Science and Engineering (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 14
A Digital Twin for part quality prediction and control in plastic injection molding
Alexander Rehmer, Marco Klute, Hans‐Peter Heim, et al.
Elsevier eBooks (2024), pp. 79-109
Closed Access | Times Cited: 2
A review of research progress on the minimization of weld lines in injection molding
Xijue Li, Zemian Zuo, Hao‐Yang Mi, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 11-12, pp. 5179-5210
Closed Access | Times Cited: 2
Deep-learning-based fault detection and recipe optimization for a plastic injection molding process under the class-imbalance problem
Jin Uk Ko, Jin‐Wook Lee, Taehun Kim, et al.
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 2, pp. 694-710
Open Access | Times Cited: 6
Powder Bed Fusion via Machine Learning-Enabled Approaches
Utkarsh Chadha, Senthil Kumaran Selvaraj, Abel Saji Abraham, et al.
Complexity (2023) Vol. 2023, pp. 1-25
Open Access | Times Cited: 6
Prediction and control of injection molded part weight using machine learning – A literature review
Jonas Krauß, Ilona Borchardt
Procedia CIRP (2023) Vol. 118, pp. 867-872
Open Access | Times Cited: 6
Enhancing plastic scintillator performance through advanced injection molding techniques
Jiahao Zhong, Nouman Ali Shah, Jianzhong Zhou, et al.
Radiation Physics and Chemistry (2024) Vol. 226, pp. 112193-112193
Closed Access | Times Cited: 1
Machine learning applied to the design and optimization of polymeric materials: A review
Sudarsan M. Pai, Karim Ali Shah, S. Shyam Sunder, et al.
Next Materials (2024) Vol. 7, pp. 100449-100449
Closed Access | Times Cited: 1
Research on injection molded parts defect detection algorithm based on multiplicative feature fusion and improved attention mechanism
R. R. Zhang, Yang Li, Zhiguang Guan
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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