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:
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
Dogacan Yilmaz, İ. Esra Büyüktahtakın
Operations Research Forum (2023) Vol. 4, Iss. 2
Open Access | Times Cited: 7
Showing 7 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
Sabah Bushaj, İ. Esra Büyüktahtakın
Journal of Global Optimization (2024) Vol. 89, Iss. 3, pp. 655-685
Open Access | Times Cited: 5
A Location-Allocation Model for Food Distribution in Post-Disaster Environments
Diana G. Ramirez-Ríos, Ángelo Joseph Soto Vergel, Trilce Encarnación, et al.
Networks and Spatial Economics (2025)
Open Access
Diana G. Ramirez-Ríos, Ángelo Joseph Soto Vergel, Trilce Encarnación, et al.
Networks and Spatial Economics (2025)
Open Access
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
Dogacan Yilmaz, İ. Esra Büyüktahtakın
European Journal of Operational Research (2023) Vol. 314, Iss. 1, pp. 280-296
Open Access | Times Cited: 12
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
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
Dogacan Yilmaz, İ. Esra Büyüktahtakın
Annals of Operations Research (2024)
Open Access | Times Cited: 1
DEVELOPMENT AND TRAINING OF LSTM MODELS FOR CONTROL OF VIRTUAL DISTRIBUTED SYSTEMS USING TENSORFLOW AND KERAS
Denys Telezhenko, Оlena Tolstoluzka
ГРААЛЬ НАУКИ (2024), Iss. 38, pp. 163-168
Closed Access
Denys Telezhenko, Оlena Tolstoluzka
ГРААЛЬ НАУКИ (2024), Iss. 38, pp. 163-168
Closed Access
Optimizing Edge Computing for Activity Recognition: A Bidirectional LSTM Approach on the PAMAP2 Dataset
Anupama Bollampally, J. Kavitha, P. Sumanya, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 6, pp. 18086-18093
Open Access
Anupama Bollampally, J. Kavitha, P. Sumanya, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 6, pp. 18086-18093
Open Access
