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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:

Exploring optimal control of epidemic spread using reinforcement learning
Abu Quwsar Ohi, M. F. Mridha, Muhammad Mostafa Monowar, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

A systematic review of COVID-19 transport policies and mitigation strategies around the globe
Francisco Calderón, Patricia Cazorla, Elina Avila-Ordóñez
Transportation Research Interdisciplinary Perspectives (2022) Vol. 15, pp. 100653-100653
Open Access | Times Cited: 30
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
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
Reinforcement learning based framework for COVID-19 resource allocation
Kai Zong, Cuicui Luo
Computers & Industrial Engineering (2022) Vol. 167, pp. 107960-107960
Open Access | Times Cited: 22
Assessing dengue forecasting methods: A comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil
Xiang Chen, Paula Moraga
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
A Reinforcement Learning Based Decision Support Tool for Epidemic Control: Validation Study for COVID-19
Mohamed-Amine Chadi, Hajar Mousannif
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 12
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning
Mathieu Reymond, Conor F. Hayes, Lander Willem, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123686-123686
Open Access | Times Cited: 1
Optimal region-specific social distancing strategies in a complex multi-patch model through reinforcement learning
Hyosun Lee, Arsen Abdulali, Hae‐Young Park, et al.
Mathematics and Computers in Simulation (2024) Vol. 226, pp. 24-41
Open Access | Times Cited: 1
Deep-reinforcement-learning-based optimization for intra-urban epidemic control considering spatiotemporal orderliness
Xuan Li, Ling Yin, Kang Liu, et al.
International Journal of Geographical Information Science (2024), pp. 1-26
Open Access | Times Cited: 1
PaCAR: COVID-19 Pandemic Control Decision Making via Large-Scale Agent-Based Modeling and Deep Reinforcement Learning
Xudong Guo, Peiyu Chen, Shihao Liang, et al.
Medical Decision Making (2022) Vol. 42, Iss. 8, pp. 1064-1077
Closed Access | Times Cited: 8
A general framework for optimising cost-effectiveness of pandemic response under partial intervention measures
Quang Dang Nguyen, Mikhail Prokopenko
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
End-to-End Optical Character Recognition for Bengali Handwritten Words
Farisa Benta Safir, Abu Quwsar Ohi, M. F. Mridha, et al.
(2021), pp. 1-7
Open Access | Times Cited: 11
Community responses to COVID-19 pandemic first wave containment measures: a multinational study
Myo Nyein Aung, Claire Stein, Wei‐Ti Chen, et al.
The Journal of Infection in Developing Countries (2021) Vol. 15, Iss. 08, pp. 1107-1116
Open Access | Times Cited: 8
A novel queue-based stochastic epidemic model with adaptive stabilising control
Edilson F. Arruda, Rodrigo e Alvim Alexandre, Marcelo D. Fragoso, et al.
ISA Transactions (2023) Vol. 140, pp. 121-133
Open Access | Times Cited: 2
Planning Multiple Epidemic Interventions with Reinforcement Learning
Anh Mai, Nikunj Gupta, Azza Abouzied, et al.
(2023), pp. 6147-6155
Open Access | Times Cited: 2
Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China
Yao Yao, Hanchu Zhou, Zhidong Cao, et al.
Journal of the American Medical Informatics Association (2023) Vol. 30, Iss. 9, pp. 1543-1551
Closed Access | Times Cited: 2
Model‐based reinforcement learning control of reaction‐diffusion problems
Christina Schenk, Aditya Vasudevan, Maciej Harańczyk, et al.
Optimal Control Applications and Methods (2024) Vol. 45, Iss. 6, pp. 2897-2914
Open Access
Enhancing Breast Cancer Detection Systems: Augmenting Mammogram Images Using Generative Adversarial Networks
Md. Asif Khan Rifat, Md. Sazid Uddin, Victor Stany Rozario, et al.
Studies in big data (2024), pp. 167-187
Closed Access
Unveiling Diagnostic Precision: Evaluating Machine Learning and Deep Learning Approaches for Pneumonia Recognition of COVID-19 Patients Using Chest X-Rays
Nakiba Nuren Rahman, Rashik Rahman, Nusrat Jahan, et al.
Studies in big data (2024), pp. 61-81
Closed Access
A dynamic approach to support outbreak management using reinforcement learning and semi-connected SEIQR models
Yamin Kao, Po-Jui Chu, Pai-Chien Chou, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access
Advanced Hybrid Deep Learning Model for Precise Multiclass Classification of Bone Marrow Cancer Cells
Shiekh Rahmatullah Sakib, Kamarun Nahar Sara, Md. Anisul Islam, et al.
Studies in big data (2024), pp. 83-103
Closed Access
Optimization strategies of human mobility during the COVID-19 pandemic: A review
Soumyajyoti Biswas, Amit Kr Mandal
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 6, pp. 7965-7978
Open Access | Times Cited: 4
Modeling the Spread of Infectious Diseases in Multiagent Systems: Insights from Agent-Based Simulations
Gautam Patil
(2023), pp. 51-56
Closed Access | Times Cited: 1
Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information
Qianyue Hao, Fengli Xu, Lin Chen, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 14, Iss. 1, pp. 1-27
Closed Access | Times Cited: 2
Tracking machine learning models for pandemic scenarios: a systematic review of machine learning models that predict local and global evolution of pandemics
Marcelo Benedeti Palermo, Lucas Micol Policarpo, Cristiano André da Costa, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 2
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