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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:

Scenario-dominance to multi-stage stochastic lot-sizing and knapsack problems
İ. Esra Büyüktahtakın
Computers & Operations Research (2023) Vol. 153, pp. 106149-106149
Open Access | Times Cited: 15

Showing 15 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
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
COVID-19: Agent-based simulation-optimization to vaccine center location vaccine allocation problem
Xuecheng Yin, Sabah Bushaj, Yue Yuan, et al.
IISE Transactions (2023) Vol. 56, Iss. 7, pp. 699-714
Closed Access | Times Cited: 9
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 deep reinforcement learning framework for solving two-stage stochastic programs
Dogacan Yilmaz, İ. Esra Büyüktahtakın
Optimization Letters (2023) Vol. 18, Iss. 9, pp. 1993-2020
Closed Access | Times Cited: 6
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
Improving the Efficiency of Minimum Determinant Computation in Space Time Trellis Code with Optimal Subtree Pruning
Ungku Azlin Ungku Chulan, Mohammad Tariqul Islam, Norbahiah Misran, et al.
Springer proceedings in physics (2024), pp. 285-296
Closed Access
Service Network Design
Alan J. King, Stein W. Wallace
Springer series in operations research/Springer series in operations research and financial engineering (2024), pp. 157-176
Closed Access
Modeling the Objective Function
Alan J. King, Stein W. Wallace
Springer series in operations research/Springer series in operations research and financial engineering (2024), pp. 55-75
Closed Access
High-Dimensional Dependent Randomness
Alan J. King, Stein W. Wallace
Springer series in operations research/Springer series in operations research and financial engineering (2024), pp. 115-122
Closed Access
Scenario Tree Generation
Alan J. King, Stein W. Wallace
Springer series in operations research/Springer series in operations research and financial engineering (2024), pp. 77-113
Closed Access
Uncertainty in Optimization
Alan J. King, Stein W. Wallace
Springer series in operations research/Springer series in operations research and financial engineering (2024), pp. 1-35
Closed Access
Information Structures and Feasibility
Alan J. King, Stein W. Wallace
Springer series in operations research/Springer series in operations research and financial engineering (2024), pp. 37-53
Closed Access
Multistage Models
Alan J. King, Stein W. Wallace
Springer series in operations research/Springer series in operations research and financial engineering (2024), pp. 123-155
Closed Access
A Multi-dimensional Newsboy Problem with Substitution
Alan J. King, Stein W. Wallace
Springer series in operations research/Springer series in operations research and financial engineering (2024), pp. 177-192
Closed Access
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