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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:

An expandable machine learning-optimization framework to sequential decision-making
Dogacan Yilmaz, İ. Esra Büyüktahtakın
European Journal of Operational Research (2023) Vol. 314, Iss. 1, pp. 280-296
Open Access | Times Cited: 12

Showing 12 citing articles:

A K-means Supported Reinforcement Learning Framework to Multi-dimensional Knapsack
Sabah Bushaj, İ. Esra Büyüktahtakın
Journal of Global Optimization (2024) Vol. 89, Iss. 3, pp. 655-685
Open Access | Times Cited: 5
Collusion by mistake: Does algorithmic sophistication drive supra-competitive profits?
Ibrahim Abada, Xavier Lambin, Nikolay Tchakarov
European Journal of Operational Research (2024) Vol. 318, Iss. 3, pp. 927-953
Open Access | Times Cited: 5
Digital Transformation and Organizational Performance
Amira Khelil
Advances in human resources management and organizational development book series (2025), pp. 109-132
Closed Access
New Frontiers in Machine Learning Optimization
Pooja Dehankar, Susanta Das
Advances in computational intelligence and robotics book series (2025), pp. 427-454
Closed Access
Explainable Artificial Intelligence for Business and Economics: Methods, Applications and Challenges
Qi Lyu, Shaomin Wu
Expert Systems (2025) Vol. 42, Iss. 4
Open Access
Review-based recommendation under preference uncertainty: An asymmetric deep learning framework
Yingqiu Xiong, Yezheng Liu, Yang Qian, et al.
European Journal of Operational Research (2024) Vol. 316, Iss. 3, pp. 1044-1057
Closed Access | Times Cited: 4
Learning Optimal Solutions via an LSTM-Optimization Framework
Dogacan Yilmaz, İ. Esra Büyüktahtakın
Operations Research Forum (2023) Vol. 4, Iss. 2
Open Access | Times Cited: 7
A Location-Production-Routing Problem for Distributed Manufacturing Platforms: A Neural Genetic Algorithm Solution Methodology
Behrang Bootaki, Guoqing Zhang
International Journal of Production Economics (2024) Vol. 275, pp. 109325-109325
Closed Access | Times Cited: 1
A non-anticipative learning-optimization framework for solving multi-stage stochastic programs
Dogacan Yilmaz, İ. Esra Büyüktahtakın
Annals of Operations Research (2024)
Open Access | Times Cited: 1
Collusion by Mistake: Does Algorithmic Sophistication Drive Supra-Competitive Profits?
Ibrahim Abada, Xavier Lambin, Nikolay Tchakarov
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 5
Transfer Reinforcement Learning for Mixed Observability Markov Decision Processes with Time-Varying Interval-Valued Parameters and Its Application in Pandemic Control
Mu Du, Hongtao Yu, Nan Kong
INFORMS journal on computing (2024)
Closed Access
Integration of prediction and optimization for smart stock portfolio selection
Puja Sarkar, Vivekanand B. Khanapuri, Manoj Kumar Tiwari
European Journal of Operational Research (2024) Vol. 321, Iss. 1, pp. 243-256
Closed Access
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