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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:

Convolutional and generative adversarial neural networks in manufacturing
Andrew Kusiak
International Journal of Production Research (2019) Vol. 58, Iss. 5, pp. 1594-1604
Closed Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

A review of artificial intelligence applications in manufacturing operations
Siby Jose Plathottam, Arin Rzonca, Rishi Lakhnori, et al.
Journal of Advanced Manufacturing and Processing (2023) Vol. 5, Iss. 3
Open Access | Times Cited: 61
Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation
Ilya Jackson, Dmitry Ivanov, Alexandre Dolgui, et al.
International Journal of Production Research (2024) Vol. 62, Iss. 17, pp. 6120-6145
Open Access | Times Cited: 56
ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management
Samuel Fosso Wamba, Cameron Guthrie, Maciel M. Queiroz, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 16, pp. 5676-5696
Closed Access | Times Cited: 43
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: 2
Reinforcement learning for facilitating human-robot-interaction in manufacturing
Harley Oliff, Ying Liu, Maneesh Kumar, et al.
Journal of Manufacturing Systems (2020) Vol. 56, pp. 326-340
Open Access | Times Cited: 100
AI based decision making: combining strategies to improve operational performance
Abdulrahman Al-Surmi, Mahdi Bashiri, Ioannis Koliousis
International Journal of Production Research (2021) Vol. 60, Iss. 14, pp. 4464-4486
Open Access | Times Cited: 77
Comparative evaluation of supervised machine learning algorithms in the prediction of the relative density of 316L stainless steel fabricated by selective laser melting
Germán Barrionuevo, Jorge Ramos‐Grez, Magdalena Walczak, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 113, Iss. 1-2, pp. 419-433
Closed Access | Times Cited: 71
Product backorder prediction using deep neural network on imbalanced data
Md Shajalal, Petr Hájek, Mohammad Zoynul Abedin
International Journal of Production Research (2021) Vol. 61, Iss. 1, pp. 302-319
Closed Access | Times Cited: 68
Smart Manufacturing
Andrew Kusiak
Springer handbooks (2023), pp. 973-985
Closed Access | Times Cited: 33
Assessing supply chain responsiveness, resilience and robustness (Triple-R) by computer simulation: a systematic review of the literature
Pranesh Saisridhar, Matthias Thürer, Balram Avittathur
International Journal of Production Research (2023) Vol. 62, Iss. 4, pp. 1458-1488
Closed Access | Times Cited: 29
Real estate price estimation in French cities using geocoding and machine learning
Dieudonné Tchuente, Serge Nyawa
Annals of Operations Research (2021) Vol. 308, Iss. 1-2, pp. 571-608
Closed Access | Times Cited: 53
Applications of deep learning for fault detection in industrial cold forging
Andrew Glaeser, Vignesh Selvaraj, Soo Young Lee, et al.
International Journal of Production Research (2021) Vol. 59, Iss. 16, pp. 4826-4835
Closed Access | Times Cited: 46
Lychee Surface Defect Detection Based on Deep Convolutional Neural Networks with GAN-Based Data Augmentation
Chenglong Wang, Zhifeng Xiao
Agronomy (2021) Vol. 11, Iss. 8, pp. 1500-1500
Open Access | Times Cited: 45
Soft sensor of flotation froth grade classification based on hybrid deep neural network
Dingsen Zhang, Xianwen Gao
International Journal of Production Research (2021) Vol. 59, Iss. 16, pp. 4794-4810
Closed Access | Times Cited: 41
Artificial intelligence for throughput bottleneck analysis – State-of-the-art and future directions
Mukund Subramaniyan, Anders Skoogh, Jon Bokrantz, et al.
Journal of Manufacturing Systems (2021) Vol. 60, pp. 734-751
Open Access | Times Cited: 40
In-process quality improvement: Concepts, methodologies, and applications
Jianjun Shi
IISE Transactions (2022) Vol. 55, Iss. 1, pp. 2-21
Closed Access | Times Cited: 34
COVID-19 vaccine hesitancy: a social media analysis using deep learning
Serge Nyawa, Dieudonné Tchuente, Samuel Fosso Wamba
Annals of Operations Research (2022) Vol. 339, Iss. 1-2, pp. 477-515
Open Access | Times Cited: 34
Control chart pattern recognition for imbalanced data based on multi-feature fusion using convolutional neural network
Xue Li, Haochen Wu, Hanxiao Zheng, et al.
Computers & Industrial Engineering (2023) Vol. 182, pp. 109410-109410
Closed Access | Times Cited: 21
A multi-domain mixture density network for tool wear prediction under multiple machining conditions
Gyeongho Kim, Sang Min Yang, Sinwon Kim, et al.
International Journal of Production Research (2023), pp. 1-20
Open Access | Times Cited: 17
Review of Machine Learning Techniques in the Supply Chain Management of Indian Industry
Rashmi Ranjan Panigrahi, Meenakshee Dash, Zakir Hossen Shaikh, et al.
Advances in finance, accounting, and economics book series (2023), pp. 199-219
Closed Access | Times Cited: 16
Industrial data-driven modeling for imbalanced fault diagnosis
Kuo‐Yi Lin, Thitipong Jamrus
Industrial Management & Data Systems (2024) Vol. 124, Iss. 11, pp. 3108-3137
Closed Access | Times Cited: 5
Generating context-specific sports training plans by combining generative adversarial networks
Joo Kooi Tan, Jingwen Chen
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0318321-e0318321
Open Access
The interpretive model of manufacturing: a theoretical framework and research agenda for machine learning in manufacturing
Ajit Sharma, Zhibo Zhang, Rahul Rai
International Journal of Production Research (2021) Vol. 59, Iss. 16, pp. 4960-4994
Closed Access | Times Cited: 39
Machine Learning-Based Condition Monitoring for PV Systems: State of the Art and Future Prospects
Tarek Berghout, Mohamed Benbouzid, Toufik Bentrcia, et al.
Energies (2021) Vol. 14, Iss. 19, pp. 6316-6316
Open Access | Times Cited: 37
Process Monitoring in Friction Stir Welding Using Convolutional Neural Networks
Roman Hartl, Andreas Bachmann, Jan Bernd Habedank, et al.
Metals (2021) Vol. 11, Iss. 4, pp. 535-535
Open Access | Times Cited: 34
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