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:

Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Wenshuai Zhao, Jorge Peña Queralta, Tomi Westerlund
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2020), pp. 737-744
Open Access | Times Cited: 487

Showing 26-50 of 487 citing articles:

The neuromechanics of animal locomotion: From biology to robotics and back
Pavan P Ramdya, Auke Jan Ijspeert
Science Robotics (2023) Vol. 8, Iss. 78
Closed Access | Times Cited: 32

A Comprehensive Survey on Artificial Intelligence Empowered Edge Computing on Consumer Electronics
Jia-Hao Syu, Jerry Chun‐Wei Lin, Gautam Srivastava, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 69, Iss. 4, pp. 1023-1034
Closed Access | Times Cited: 25

Physics‐Informed Neural Networks to Model and Control Robots: A Theoretical and Experimental Investigation
J. Liu, Pablo Borja, Cosimo Della Santina
Advanced Intelligent Systems (2024) Vol. 6, Iss. 5
Open Access | Times Cited: 13

AI model disgorgement: Methods and choices
Alessandro Achille, Michael Kearns, Carson Klingenberg, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 18
Open Access | Times Cited: 8

POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance
Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, et al.
Machine Learning (2024)
Open Access | Times Cited: 7

Federated Learning in Robotic and Autonomous Systems
Xianjia Yu, Jorge Peña Queralta, Jukka Heikkonen, et al.
Procedia Computer Science (2021) Vol. 191, pp. 135-142
Open Access | Times Cited: 46

A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
Fei Ye, Shen Zhang, Pin Wang, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2021)
Open Access | Times Cited: 45

Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning
Haonan Duan, Peng Wang, Ya-Yu Huang, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 42

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: 36

Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials
Adrian P. Pope, Jaime S. Ide, Daria Mićović, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 6, pp. 1371-1385
Closed Access | Times Cited: 33

Adaptive Control and Intersections with Reinforcement Learning
Anuradha M. Annaswamy
Annual Review of Control Robotics and Autonomous Systems (2023) Vol. 6, Iss. 1, pp. 65-93
Open Access | Times Cited: 20

Versatile multicontact planning and control for legged loco-manipulation
Jean-Pierre Sleiman, Farbod Farshidian, Marco Hutter
Science Robotics (2023) Vol. 8, Iss. 81
Open Access | Times Cited: 20

A Comparison of PPO, TD3 and SAC Reinforcement Algorithms for Quadruped Walking Gait Generation
James Mock, Suresh Muknahallipatna
Journal of Intelligent Learning Systems and Applications (2023) Vol. 15, Iss. 01, pp. 36-56
Open Access | Times Cited: 16

Indoor Synthetic Data Generation: A Systematic Review
Hannah Schieber, Kubilay Can Demir, Constantin Kleinbeck, et al.
Computer Vision and Image Understanding (2024) Vol. 240, pp. 103907-103907
Open Access | Times Cited: 6

AI-CPG: Adaptive Imitated Central Pattern Generators for Bipedal Locomotion Learned Through Reinforced Reflex Neural Networks
Guanda Li, Auke Jan Ijspeert, Mitsuhiro Hayashibe
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 6, pp. 5190-5197
Open Access | Times Cited: 6

Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions
Nadav Cohen, Itzik Klein
Results in Engineering (2024), pp. 103565-103565
Open Access | Times Cited: 6

A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing
Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 2, pp. 1899-1906
Open Access | Times Cited: 5

Robot Grasp Planning: A Learning from Demonstration-Based Approach
Kaimeng Wang, Yongxiang Fan, Ichiro Sakuma
Sensors (2024) Vol. 24, Iss. 2, pp. 618-618
Open Access | Times Cited: 5

Assessing the value of deep reinforcement learning for irrigation scheduling
T.D. Kelly, Timothy Foster, David M. Schultz
Smart Agricultural Technology (2024) Vol. 7, pp. 100403-100403
Open Access | Times Cited: 5

Joint Link Scheduling and Power Allocation in Imperfect and Energy-Constrained Underwater Wireless Sensor Networks
Tong Zhang, Yu Gou, Jun Liu, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 10, pp. 9863-9880
Closed Access | Times Cited: 5

Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
(2024)
Open Access | Times Cited: 5

Transfer learning in robotics: An upcoming breakthrough? A review of promises and challenges
Noémie Jaquier, Michael C. Welle, Andrej Gams, et al.
The International Journal of Robotics Research (2024)
Closed Access | Times Cited: 5

A reinforcement learning‐based reverse‐parking system for autonomous vehicles
Amjed Al‐Mousa, Ahmad Arrabi, Hamza Daoud
IET Intelligent Transport Systems (2025) Vol. 19, Iss. 1
Open Access

Research on Intelligent Dynamic Obstacle Avoidance Strategy for Space Collaborative Robots
Yaobing Wang, Fanglin Xie, Yahang Zhang, et al.
Lecture notes in computer science (2025), pp. 18-32
Closed Access

Generalized reinforcement learning control algorithm for fully automated insulin delivery system
Vega Pradana Rachim, J. Yoo, Jaeyeon Lee, et al.
Expert Systems with Applications (2025), pp. 126909-126909
Closed Access

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