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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:

Metal-Based Additive Manufacturing Condition Monitoring: A Review on Machine Learning Based Approaches
Kunpeng Zhu, Jerry Ying Hsi Fuh, Xin Lin
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 5, pp. 2495-2510
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

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: 64
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: 43
Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturing
Dayalan Gunasegaram, Amanda S. Barnard, Manyalibo J. Matthews, et al.
Additive manufacturing (2024) Vol. 81, pp. 104013-104013
Open Access | Times Cited: 30
In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: A critical review
Lequn Chen, Guijun Bi, Xiling Yao, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 527-574
Open Access | Times Cited: 17
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
A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management
Ying Zhang, Mutahar Safdar, Jiarui Xie, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 8, pp. 3305-3340
Closed Access | Times Cited: 40
Advancements in 3D Printing: Directed Energy Deposition Techniques, Defect Analysis, and Quality Monitoring
Muhammad Mu’az Imran, Azam Che Idris, Liyanage C. De Silva, et al.
Technologies (2024) Vol. 12, Iss. 6, pp. 86-86
Open Access | Times Cited: 9
Application of machine learning in polymer additive manufacturing: A review
Tahamina Nasrin, Farhad Pourkamali‐Anaraki, Amy M. Peterson
Journal of Polymer Science (2023) Vol. 62, Iss. 12, pp. 2639-2669
Open Access | Times Cited: 20
A Review on Recent Trends and Applications of IoT in Additive Manufacturing
Bharat Kumar Chigilipalli, Teja Karri, Sathish Naidu Chetti, et al.
Applied System Innovation (2023) Vol. 6, Iss. 2, pp. 50-50
Open Access | Times Cited: 19
Gaussian process classification of melt pool motion for laser powder bed fusion process monitoring
Qisheng Wang, Xin Lin, Xianyin Duan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110440-110440
Closed Access | Times Cited: 17
Barriers to Adoption of Artificial Intelligence in Metal Additive Manufacturing
Wayne E. King
(2025)
Closed Access
In situ monitoring and feature extraction in laser powder bed fusion
Tao Liu, Ming C. Leu, Edward C. Kinzel, et al.
Elsevier eBooks (2025), pp. 155-227
Closed Access
Additive Manufacturing: Prospects and Diverse Applications
Zeyuan Li, Hulong Ruan, Mengmeng Li, et al.
Metals (2025) Vol. 15, Iss. 2, pp. 158-158
Open Access
Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
Jiarui Xie, Mutahar Safdar, Lequn Chen, et al.
Additive manufacturing (2025), pp. 104692-104692
Closed Access
In-situ 3D temperature field modeling and characterization using eddy current for metal additive manufacturing process monitoring
Lei Peng, Edward Benavidez, Saptarshi Mukherjee, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Online monitoring of local defects in robotic laser additive manufacturing process based on a dynamic mapping strategy and multibranch fusion convolutional neural network
Ming Yin, Shiming Zhuo, Luofeng Xie, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 494-503
Closed Access | Times Cited: 12
Accelerated semantic segmentation of additively manufactured metal matrix composites: Generating datasets, evaluating convolutional and transformer models, and developing the MicroSegQ+ Tool
Mutahar Safdar, Yi Fan Li, Randy El Haddad, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123974-123974
Closed Access | Times Cited: 3
Machine learning in Directed Energy Deposition (DED) additive manufacturing: A state-of-the-art review
Israt Zarin Era, Mojtaba A. Farahani, Thorsten Wuest, et al.
Manufacturing Letters (2023) Vol. 35, pp. 689-700
Closed Access | Times Cited: 8
A Fused Deep Fuzzy Neural Network Controller and Its Application to Pneumatic Flexible Joint
Cheng Chen, Yu Cao, Xinxing Chen, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 28, Iss. 6, pp. 3214-3225
Closed Access | Times Cited: 7
Luminescence biomonitoring and antibacterial properties of Er3+-doped SiO2–CaO–P2O5 bioactive glass microspheres
Wei Zhang, Xiaona Zhang, Yu Zhou, et al.
Ceramics International (2023) Vol. 49, Iss. 14, pp. 22924-22931
Open Access | Times Cited: 5
Fundamental requirements of a machine learning operations platform for industrial metal additive manufacturing
Mutahar Safdar, Padma Polash Paul, Guy Lamouche, et al.
Computers in Industry (2023) Vol. 154, pp. 104037-104037
Closed Access | Times Cited: 5
Melt Pool Size Prediction of Laser Powder Bed Fusion by Process and Image Feature Fusion
Qisheng Wang, Yangkun Mao, Kunpeng Zhu
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-12
Closed Access | Times Cited: 5
Quality of powder fed direct energy deposition parts: A review
D. Dev Singh, Suresh Arjula, Avala Raji Reddy, et al.
AIP conference proceedings (2024) Vol. 3007, pp. 060004-060004
Open Access | Times Cited: 1
Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition
Mutahar Safdar, Jiarui Xie, Hyunwoong Ko, et al.
Journal of Computing and Information Science in Engineering (2024) Vol. 24, Iss. 5
Open Access | Times Cited: 1
Leveraging small-scale datasets for additive manufacturing process modeling and part certification: Current practice and remaining gaps
Durant Fullington, Emmanuel Yangue, Mahathir Mohammad Bappy, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 306-321
Closed Access | Times Cited: 1
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