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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:

Model-free reinforcement learning from expert demonstrations: a survey
Jorge Ramírez, Wen Yu, Adolfo Perrusquía
Artificial Intelligence Review (2021) Vol. 55, Iss. 4, pp. 3213-3241
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Reinforcement learning for electric vehicle applications in power systems:A critical review
Dawei Qiu, Yi Wang, Weiqi Hua, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 173, pp. 113052-113052
Open Access | Times Cited: 73
Imitating Tool-Based Garment Folding From a Single Visual Observation Using Hand-Object Graph Dynamics
Peng Zhou, Jiaming Qi, Anqing Duan, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 4, pp. 6245-6256
Closed Access | Times Cited: 17
Entanglement engineering of optomechanical systems by reinforcement learning
Lili Ye, Christian Arenz, Joseph M. Lukens, et al.
APL Machine Learning (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 2
Unmanned aerial-ground vehicle finite-time docking control via pursuit-evasion games
Jun Tan, Shuangsi Xue, Qingshu Guan, et al.
Nonlinear Dynamics (2025)
Closed Access | Times Cited: 2
A Review of Deep Reinforcement Learning Approaches for Smart Manufacturing in Industry 4.0 and 5.0 Framework
Alejandro J. del Real, Doru Stefan Andreiana, Álvaro Ojeda Roldán, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12377-12377
Open Access | Times Cited: 38
Machine Learning: Models, Challenges, and Research Directions
Tala Talaei Khoei, Naima Kaabouch
Future Internet (2023) Vol. 15, Iss. 10, pp. 332-332
Open Access | Times Cited: 25
Review on human‐like robot manipulation using dexterous hands
Suhas Kadalagere Sampath, Ning Wang, Hao Wu, et al.
Cognitive Computation and Systems (2023) Vol. 5, Iss. 1, pp. 14-29
Open Access | Times Cited: 17
Uncovering drone intentions using control physics informed machine learning
Adolfo Perrusquía, Weisi Guo, Benjamin T. Fraser, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 7
Deep reinforcement learning for optimal rescue path planning in uncertain and complex urban pluvial flood scenarios
Xiaoyan Li, Xuedong Liang, Xia Wang, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110543-110543
Closed Access | Times Cited: 15
Optimal Control of Nonlinear Systems Using Experience Inference Human-Behavior Learning
Adolfo Perrusquía, Weisi Guo
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 1, pp. 90-102
Open Access | Times Cited: 13
Closed-Loop Output Error Approaches for Drone's Physics Informed Trajectory Inference
Adolfo Perrusquía, Weisi Guo
IEEE Transactions on Automatic Control (2023) Vol. 68, Iss. 12, pp. 7824-7831
Open Access | Times Cited: 13
Methods in Dynamic Treatment Regimens using Observational Healthcare Data: A Systematic Review
David Liang, Animesh Kumar Paul, Daniala L. Weir, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108658-108658
Closed Access
Deep imitative reinforcement learning with gradient conflict-free for decision-making in autonomous vehicles
Zitong Shan, Jian Zhao, Wenhui Huang, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 173, pp. 105047-105047
Closed Access
Towards Green Networking: Efficient Dynamic Radio Resource Management in Open-RAN Slicing Using Deep Reinforcement Learning and Transfer Learning
Heba Sherif, Eman Ahmed, Amira Kotb
Computer Communications (2025), pp. 108126-108126
Closed Access
Controlling nonergodicity in quantum many-body systems by reinforcement learning
Lili Ye, Ying‐Cheng Lai
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access
Reinforcement learning for safe autonomous two-device navigation of cerebral vessels in mechanical thrombectomy
Harry H. Robertshaw, Benjamin M. Jackson, Jiaheng Wang, et al.
International Journal of Computer Assisted Radiology and Surgery (2025)
Open Access
Dynamic robot routing optimization: State–space decomposition for operations research-informed reinforcement learning
Marlon Löppenberg, Steve Yuwono, Mochammad Rizky Diprasetya, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 90, pp. 102812-102812
Open Access | Times Cited: 4
Dexterous Manipulation for Multi-Fingered Robotic Hands With Reinforcement Learning: A Review
Chunmiao Yu, Peng Wang
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 16
A reinforcement learning assisted evolutionary algorithm for constrained multi-task optimization
Yufei Yang, Changsheng Zhang, Bin Zhang, et al.
Information Sciences (2024) Vol. 678, pp. 120863-120863
Closed Access | Times Cited: 3
A Closed-Loop Output Error Approach for Physics-Informed Trajectory Inference Using Online Data
Adolfo Perrusquía, Weisi Guo
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 3, pp. 1379-1391
Open Access | Times Cited: 14
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Tao Huang, Kai Chen, Bin Li, et al.
(2023)
Open Access | Times Cited: 8
A policy gradient approach to solving dynamic assignment problem for on-site service delivery
Yimo Yan, Yang Deng, Shengjie Cui, et al.
Transportation Research Part E Logistics and Transportation Review (2023) Vol. 178, pp. 103260-103260
Closed Access | Times Cited: 8
Human-behavior learning: A new complementary learning perspective for optimal decision making controllers
Adolfo Perrusquía
Neurocomputing (2022) Vol. 489, pp. 157-166
Open Access | Times Cited: 13
Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks
David Valencia, John Jia, Raymond Li, et al.
(2023) Vol. 31, pp. 871-878
Closed Access | Times Cited: 7
Hierarchical Reinforcement Learning from Demonstration via Reachability-Based Reward Shaping
Xiaozhu Gao, Jinhui Liu, Bo Wan, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 3
Open Access | Times Cited: 2
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