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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:

A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization
Sabah Bushaj, Xuecheng Yin, Arjeta Beqiri, et al.
Annals of Operations Research (2022) Vol. 328, Iss. 1, pp. 245-277
Open Access | Times Cited: 25

Showing 25 citing articles:

AI for science: Predicting infectious diseases
Alexis Pengfei Zhao, Shuangqi Li, Zhidong Cao, et al.
Journal of Safety Science and Resilience (2024) Vol. 5, Iss. 2, pp. 130-146
Open Access | Times Cited: 31
COVID-19: Data-Driven optimal allocation of ventilator supply under uncertainty and risk
Xuecheng Yin, İ. Esra Büyüktahtakın, Bhumi Patel
European Journal of Operational Research (2021) Vol. 304, Iss. 1, pp. 255-275
Open Access | Times Cited: 48
Data-driven hospitals staff and resources allocation using agent-based simulation and deep reinforcement learning
Teddy Lazebnik
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106783-106783
Closed Access | Times Cited: 16
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
Learning from the COVID-19 pandemic: A systematic review of mathematical vaccine prioritization models
Gilberto González‐Parra, Md. Shahriar Mahmud, Claus Kadelka
Infectious Disease Modelling (2024) Vol. 9, Iss. 4, pp. 1057-1080
Open Access | Times Cited: 6
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
Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review
Archana Bathula, Suneet Kumar Gupta, M. Suresh, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 5
Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Yang Ye, Abhishek Pandey, Carolyn E. Bawden, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Optimizing vaccine logistics: a taxonomy and narrative review
J C Locke, Majid Taghavi, Bahareh Mansouri, et al.
INFOR Information Systems and Operational Research (2025), pp. 1-42
Closed Access
Global lightning-ignited wildfires prediction and climate change projections based on explainable machine learning models
Assaf Shmuel, Teddy Lazebnik, Oren Glickman, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
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
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
How to Design Reinforcement Learning Methods for the Edge: An Integrated Approach toward Intelligent Decision Making
Guanlin Wu, D. Zhang, Zhengyuan Miao, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1281-1281
Open 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
Economical–epidemiological analysis of the coffee trees rust pandemic
Teddy Lazebnik, Ariel Rosenfeld, Labib Shami
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 11
Open Access | Times Cited: 1
An optimization-based framework to minimize the spread of diseases in social networks with heterogeneous nodes
Su Li, Hrayer Aprahamian
IISE Transactions (2023) Vol. 56, Iss. 2, pp. 128-142
Closed Access | Times Cited: 3
Planning Multiple Epidemic Interventions with Reinforcement Learning
Anh Mai, Nikunj Gupta, Azza Abouzied, et al.
(2023), pp. 6147-6155
Open Access | Times Cited: 2
A guided twin delayed deep deterministic reinforcement learning for vaccine allocation in human contact networks
Ehsan Ardjmand, Alireza Fallahtafti, Ehsan Yazdani, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112322-112322
Open Access
A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare
Yu Zheng, Qianyue Hao, Jingwei Wang, et al.
ACM Computing Surveys (2024)
Open Access
Learning from the COVID-19 pandemic: a systematic review of mathematical vaccine prioritization models
Gilberto González‐Parra, Md. Shahriar Mahmud, Claus Kadelka
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Bicriteria Model to Determine Pareto Optimal Pulse Vaccination Strategies
Funda Samanlıoğlu, Nauman Tabassum, Tolga Kudret Karaca, et al.
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization
Victoria Huang, Chen Wang, Samik Datta, et al.
Lecture notes in computer science (2023), pp. 387-399
Closed Access
Quarantine in Motion: A Graph Learning and Multi-Agent Reinforcement Learning Framework to Reduce Disease Transmission Without Lockdown
Sofia Hurtado, Radu Mărculescu
(2023), pp. 82-89
Open Access
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