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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 techniques in additive manufacturing: a state of the art review on design, processes and production control
Sachin Kumar, T. Gopi, N. Harikeerthana, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 1, pp. 21-55
Open Access | Times Cited: 151

Showing 1-25 of 151 citing articles:

Revolutionizing manufacturing: A comprehensive overview of additive manufacturing processes, materials, developments, and challenges
Kumar Kanishka, Bappa Acherjee
Journal of Manufacturing Processes (2023) Vol. 107, pp. 574-619
Closed Access | Times Cited: 116
Recent Inventions in Additive Manufacturing: Holistic Review
Ismail Fidan, Orkhan Huseynov, Mohammad Alshaikh Ali, et al.
Inventions (2023) Vol. 8, Iss. 4, pp. 103-103
Open Access | Times Cited: 82
Towards the next generation of machine learning models in additive manufacturing: A review of process dependent material evolution
Mohammad Parsazadeh, Shashank Sharma, Narendra B. Dahotre
Progress in Materials Science (2023) Vol. 135, pp. 101102-101102
Closed Access | Times Cited: 71
Big data, machine learning, and digital twin assisted additive manufacturing: A review
Liuchao Jin, Xiaoya Zhai, Kang Wang, et al.
Materials & Design (2024) Vol. 244, pp. 113086-113086
Open Access | Times Cited: 47
A survey-based approach of framework development for improving the application of internet of things in the construction industry of Malaysia
Muhammad Ali Musarat, Wesam Salah Alaloul, Abdul Mateen Khan, et al.
Results in Engineering (2024) Vol. 21, pp. 101823-101823
Open Access | Times Cited: 25
A review of machine learning (ML) and explainable artificial intelligence (XAI) methods in additive manufacturing (3D Printing)
Jeewanthi Ukwaththa, Sumudu Herath, D.P.P. Meddage
Materials Today Communications (2024) Vol. 41, pp. 110294-110294
Open Access | Times Cited: 23
An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing
Vispi Karkaria, Ying-Kuan Tsai, Yi-Ping Chen, et al.
Engineering Optimization (2025), pp. 1-47
Open Access | Times Cited: 4
Additive Manufacturing Modification by Artificial Intelligence, Machine Learning, and Deep Learning: A Review
Mohsen Soori, Fooad Karımı Ghaleh Jough, Roza Dastres, et al.
Deleted Journal (2025), pp. 200198-200198
Open Access | Times Cited: 3
A Comprehensive Study on Additive Manufacturing Techniques, Machine Learning Integration, and Internet of Things-Driven Sustainability Opportunities
Santosh Kumar, Rakesh Kumar
Journal of Materials Engineering and Performance (2025)
Closed Access | Times Cited: 3
Machine learning for predicting fatigue properties of additively manufactured materials
Min Yi, Ming Xue, Peihong Cong, et al.
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 4, pp. 1-22
Open Access | Times Cited: 30
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data
Javid Akhavan, Jiaqi Lyu, Souran Manoochehri
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 1389-1406
Closed Access | Times Cited: 25
3D printing in materials manufacturing industry: A realm of Industry 4.0
Tariku Sinshaw Tamir, Gang Xiong, Zhen Shen, et al.
Heliyon (2023) Vol. 9, Iss. 9, pp. e19689-e19689
Open Access | Times Cited: 24
The Role of Ergonomic and Human Factors in Sustainable Manufacturing: A Review
Bassam Hasanain
Machines (2024) Vol. 12, Iss. 3, pp. 159-159
Open Access | Times Cited: 13
Metal additive manufacturing: Principles and applications
S. Patel, Yujing Liu, Z. Siddique, et al.
Journal of Manufacturing Processes (2024) Vol. 131, pp. 1179-1201
Closed Access | Times Cited: 10
Application of artificial neural network to evaluation of dimensional accuracy of 3D‐printed polylactic acid parts
Seyhmus Gunes, Osman Ülkir, Melih Kuncan
Journal of Polymer Science (2024) Vol. 62, Iss. 9, pp. 1864-1889
Open Access | Times Cited: 9
Application of Soft Computing Techniques in the Optimization of 3D-Printed Piezoresistive Sensors
Milad Razbin, Mostafa Vahdani, Sajad A. Moshizi, et al.
Sensors and Actuators A Physical (2025), pp. 116277-116277
Closed Access | Times Cited: 1
Machine learning in design for additive manufacturing: A state-of-the-art discussion for a support tool in product design lifecycle
Michele Trovato, Luca Belluomo, Michele Bici, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Open Access | Times Cited: 1
Towards defect-free lattice structures in additive manufacturing: A holistic review of machine learning advancements
Numan Khan, Hamid Asad, Sikandar Khan, et al.
Journal of Manufacturing Processes (2025) Vol. 144, pp. 1-53
Closed Access | Times Cited: 1
A Review of Residual Stress and Deformation Modeling for Metal Additive Manufacturing Processes
Asim Rashid, Aditya Gopaluni
Chinese Journal of Mechanical Engineering Additive Manufacturing Frontiers (2023) Vol. 2, Iss. 4, pp. 100102-100102
Open Access | Times Cited: 18
A data driven sequential learning framework to accelerate and optimize multi-objective manufacturing decisions
Hamed Khosravi, Taofeeq Olajire, Ahmed Shoyeb Raihan, et al.
Journal of Intelligent Manufacturing (2024) Vol. 35, Iss. 8, pp. 4087-4112
Closed Access | Times Cited: 8
Surface roughness prediction of AISI D2 tool steel during powder mixed EDM using supervised machine learning
Amreeta R Kaigude, Nitin Khedkar, Vijaykumar S. Jatti, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time
Waqar Ahmed Khan, Mahmoud Masoud, Abdelrahman E. E. Eltoukhy, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
Warpage detection in 3D printing of polymer parts: a deep learning approach
Vivek V. Bhandarkar, Ashish Kumar, Puneet Tandon
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
A novel machine learning-based approach for in-situ surface roughness prediction in laser powder-bed fusion
Sahar Toorandaz, Katayoon Taherkhani, Farima Liravi, et al.
Additive manufacturing (2024) Vol. 91, pp. 104354-104354
Open Access | Times Cited: 6
An overview of traditional and advanced methods to detect part defects in additive manufacturing processes
Vivek V. Bhandarkar, Harshal Y. Shahare, Anand Prakash Mall, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
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