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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:

Challenges of real-world reinforcement learning: definitions, benchmarks and analysis
Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz, et al.
Machine Learning (2021) Vol. 110, Iss. 9, pp. 2419-2468
Open Access | Times Cited: 320

Showing 26-50 of 320 citing articles:

A Novel Framework Combining MPC and Deep Reinforcement Learning With Application to Freeway Traffic Control
Dingshan Sun, Anahita Jamshidnejad, Bart De Schutter
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 6756-6769
Open Access | Times Cited: 9
Integrated Planning and Operation Dispatching of Source–Grid–Load–Storage in a New Power System: A Coupled Socio–Cyber–Physical Perspective
Tianlei Zang, Shijun Wang, Zian Wang, et al.
Energies (2024) Vol. 17, Iss. 12, pp. 3013-3013
Open Access | Times Cited: 9
Towards various occupants with different thermal comfort requirements: A deep reinforcement learning approach combined with a dynamic PMV model for HVAC control in buildings
Zekun Shi, Ruifan Zheng, Jun Zhao, et al.
Energy Conversion and Management (2024) Vol. 320, pp. 118995-118995
Closed Access | Times Cited: 9
FTR‐Bench: Benchmarking Deep Reinforcement Learning for Flipper‐Track Robot Control
Hongchuan Zhang, Junkai Ren, Junhao Xiao, et al.
Journal of Field Robotics (2025)
Closed Access | Times Cited: 1
Dynamic optimizers for complex industrial systems via direct data-driven synthesis
Khalid Alhazmi, S. Mani Sarathy
Communications Engineering (2025) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Surfing vortex rings for energy-efficient propulsion
Peter Gunnarson, John O. Dabiri
PNAS Nexus (2025) Vol. 4, Iss. 2
Open Access | Times Cited: 1
Artificial Intelligence in Elite Sports—A Narrative Review of Success Stories and Challenges
Fabian Hammes, Alexander Hagg, Alexander Asteroth, et al.
Frontiers in Sports and Active Living (2022) Vol. 4
Open Access | Times Cited: 33
Deep Reinforcement Learning Based Active Pantograph Control Strategy in High-Speed Railway
Hui Wang, Zhiwei Han, Zhigang Liu, et al.
IEEE Transactions on Vehicular Technology (2022) Vol. 72, Iss. 1, pp. 227-238
Closed Access | Times Cited: 29
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning
Alec J. Linot, Kevin Zeng, Michael D. Graham
International Journal of Heat and Fluid Flow (2023) Vol. 101, pp. 109139-109139
Open Access | Times Cited: 18
Deep learning reduces sensor requirements for gust rejection on a small uncrewed aerial vehicle morphing wing
Kevin Haughn, Christina Harvey, Daniel J. Inman
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 7
Anesthetic drug discovery with computer-aided drug design and machine learning
Xianggen Liu, Zhe Xue, Mingmin Luo, et al.
Anesthesiology and Perioperative Science (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 6
Dynamic datasets and market environments for financial reinforcement learning
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, et al.
Machine Learning (2024) Vol. 113, Iss. 5, pp. 2795-2839
Closed Access | Times Cited: 6
Learning Constrained Parametric Differentiable Predictive Control Policies With Guarantees
Ján Drgoňa, Aaron Tuor, Draguna Vrabie
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 6, pp. 3596-3607
Open Access | Times Cited: 6
Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods
Arash Golabi, Abdelkarim Erradi, Hazim Qiblawey, et al.
Applied Intelligence (2024) Vol. 54, Iss. 8, pp. 6333-6353
Open Access | Times Cited: 6
Reinforcement Learning for Autonomous Process Control in Industry 4.0: Advantages and Challenges
Nuria Nievas, Adela Pagès‐Bernaus, Francesc Bonada, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 6
Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General Environments
Alberto del Río, David Jiménez, Javier Serrano
IEEE Access (2024) Vol. 12, pp. 146795-146806
Open Access | Times Cited: 6
Energy Minimization in UAV-Aided Networks: Actor-Critic Learning for Constrained Scheduling Optimization
Yaxiong Yuan, Lei Lei, Thang X. Vu, et al.
IEEE Transactions on Vehicular Technology (2021) Vol. 70, Iss. 5, pp. 5028-5042
Open Access | Times Cited: 39
Reinforcement Learning Framework for Server Placement and Workload Allocation in Multiaccess Edge Computing
Anahita Mazloomi, Hani Sami, Jamal Bentahar, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 2, pp. 1376-1390
Open Access | Times Cited: 25
RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN
Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, et al.
IEEE Access (2022) Vol. 10, pp. 113808-113826
Open Access | Times Cited: 25
EV charging station deployment on coupled transportation and power distribution networks via reinforcement learning
Zhonghao Zhao, C.K.M. Lee, Jiage Huo
Energy (2022) Vol. 267, pp. 126555-126555
Closed Access | Times Cited: 25
Multiobjective Load Balancing for Multiband Downlink Cellular Networks: A Meta- Reinforcement Learning Approach
Amal Feriani, Di Wu, Yi Xu, et al.
IEEE Journal on Selected Areas in Communications (2022) Vol. 40, Iss. 9, pp. 2614-2629
Closed Access | Times Cited: 24
Scalable Virtual Machine Migration using Reinforcement Learning
Abdul Rahman Hummaida, Norman W. Paton, Rizos Sakellariou
Journal of Grid Computing (2022) Vol. 20, Iss. 2
Closed Access | Times Cited: 23
SofaGym: An Open Platform for Reinforcement Learning Based on Soft Robot Simulations
Pierre Schegg, Etienne Ménager, Elie Khairallah, et al.
Soft Robotics (2022) Vol. 10, Iss. 2, pp. 410-430
Open Access | Times Cited: 23
Learning Visual Feedback Control for Dynamic Cloth Folding
Julius Hietala, David Blanco–Mulero, Gökhan Alcan, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 1455-1462
Open Access | Times Cited: 23
Federated Ensemble Model-Based Reinforcement Learning in Edge Computing
Jin Wang, Jia Hu, Jed Mills, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 34, Iss. 6, pp. 1848-1859
Open Access | Times Cited: 16

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