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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:

Minimizing makespan in two-stage assembly additive manufacturing: A reinforcement learning iterated greedy algorithm
Kuo‐Ching Ying, Shih-Wei Lin
Applied Soft Computing (2023) Vol. 138, pp. 110190-110190
Closed Access | Times Cited: 15

Showing 15 citing articles:

Nesting and scheduling optimization of additive manufacturing systems: Mapping the territory
M. C. A. Pinto, Cristóvão Silva, Matthias Thürer, et al.
Computers & Operations Research (2024) Vol. 165, pp. 106592-106592
Open Access | Times Cited: 15
Deep reinforcement learning for optimal rescue path planning in uncertain and complex urban pluvial flood scenarios
Xiaoyan Li, Xuedong Liang, Xia Wang, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110543-110543
Closed Access | Times Cited: 16
A selection hyper-heuristic algorithm with Q-learning mechanism
Fuqing Zhao, Yuebao Liu, Ningning Zhu, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110815-110815
Closed Access | Times Cited: 13
Production scheduling of additively manufactured metal parts
Kuo‐Ching Ying, Shih-Wei Lin, Pourya Pourhejazy, et al.
CIRP journal of manufacturing science and technology (2025) Vol. 57, pp. 100-115
Open Access
Scheduling of distributed additive manufacturing machines considering carbon emissions
İbrahim Küçükkoç
An International Journal of Optimization and Control Theories & Applications (IJOCTA) (2023) Vol. 14, Iss. 1, pp. 20-31
Open Access | Times Cited: 9
Advancing Additive Manufacturing Through Machine Learning Techniques: A State-of-the-Art Review
Shaoping Xiao, Junchao Li, Zhaoan Wang, et al.
Future Internet (2024) Vol. 16, Iss. 11, pp. 419-419
Open Access | Times Cited: 2
Minimising makespan in distributed assembly hybrid flowshop scheduling problems
Kuo‐Ching Ying, Shih-Wei Lin, Kuan‐Fu Chen
International Journal of Production Research (2024), pp. 1-18
Closed Access | Times Cited: 1
ASRL: Adaptive Swarm Reinforcement Learning For Enhanced OSN Intrusion Detection
Edward Kwadwo Boahen, Rexford Nii Ayitey Sosu, Selasi Kwame Ocansey, et al.
IEEE Transactions on Information Forensics and Security (2024) Vol. 19, pp. 10258-10272
Closed Access | Times Cited: 1
Advanced constraint programming formulations for additive manufacturing machine scheduling problems
Eray Cakici, İbrahim Küçükkoç, Mustafa Akdemir
Journal of the Operational Research Society (2024), pp. 1-16
Closed Access
Literature Review of Scheduling Problems Using Artificial Intelligence Technologies Based on Machine Learning
Aicha Hassan, Hager Triki, H. Trabelsi, et al.
Lecture notes in mechanical engineering (2024), pp. 341-348
Closed Access
A production scheduling case study solved for Electron Beam Powder Bed Fusion
Erica Pastore, Manuela Galati, Arianna Alfieri, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 19, pp. 982-987
Open Access
Reinforcement Learning-based Alpha-list Iterated Greedy for Production Scheduling
Kuo‐Ching Ying, Pourya Pourhejazy, S.-C. Cheng
Intelligent Systems with Applications (2024) Vol. 24, pp. 200451-200451
Open Access
Comprehensive review of additive manufacturing lifecycle optimization in a cloud environment: from distributed manufacturing to postprocessing
Xiao-Min Xiao, Guang Fu, Pengpeng Song, et al.
Rapid Prototyping Journal (2024)
Closed Access
Optimizing Art Studio Connectivity: A Haversine and Greedy Algorithm Approach for Navigation in Cirebon Indonesia
Indra Surya Permana, Teguh Arlovin, Taufik Hidayat, et al.
(2023), pp. 1-5
Closed Access
Evolutionary Computing Coupled Machine Learning Algorithms to Predict the Temperature Distribution of Additive Friction Stir Deposited Aluminum Alloy
Akshansh Mishra, Vijaykumar S. Jatti, Eyob Messele Sefene
Procedia Computer Science (2023) Vol. 230, pp. 651-657
Open Access
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