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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:

Robot Learning From Randomized Simulations: A Review
Fabio Muratore, Fábio Ramos, Greg Turk, et al.
Frontiers in Robotics and AI (2022) Vol. 9
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real
Qinghai Miao, Yisheng Lv, Min Huang, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 3, pp. 603-631
Closed Access | Times Cited: 56
Learning agile soccer skills for a bipedal robot with deep reinforcement learning
Tuomas Haarnoja, Ben Moran, Guy Lever, et al.
Science Robotics (2024) Vol. 9, Iss. 89
Open Access | Times Cited: 37
Artificial neural networks for photonic applications—from algorithms to implementation: tutorial
Pedro J. Freire, Egor Manuylovich, Jaroslaw E. Prilepsky, et al.
Advances in Optics and Photonics (2023) Vol. 15, Iss. 3, pp. 739-739
Open Access | Times Cited: 35
A Study on the Advancement of Intelligent Military Drones: Focusing on Reconnaissance Operations
Minho Lee, Minwoo Choi, Taehoon Yang, et al.
IEEE Access (2024) Vol. 12, pp. 55964-55975
Open Access | Times Cited: 10
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
Keep the Human in the Loop: Arguments for Human Assistance in the Synthesis of Simulation Data for Robot Training
Carina Liebers, Pranav Megarajan, Jonas Auda, et al.
Multimodal Technologies and Interaction (2024) Vol. 8, Iss. 3, pp. 18-18
Open Access | Times Cited: 4
Random bridge generator as a platform for developing computer vision-based structural inspection algorithms
Haojia Cheng, Wenhao Chai, Jiabao Hu, et al.
Journal of Infrastructure Intelligence and Resilience (2024) Vol. 3, Iss. 2, pp. 100098-100098
Open Access | Times Cited: 4
Robust direct data-driven control for probabilistic systems
Alexander von Rohr, Д. С. Лихачев, Sebastian Trimpe
Systems & Control Letters (2025) Vol. 196, pp. 106011-106011
Open Access
Robust pushing: Exploiting quasi-static belief dynamics and contact-informed optimization
Julius Jankowski, Lara Brudermüller, Nick Hawes, et al.
The International Journal of Robotics Research (2025)
Open Access
Robot Learning in the Era of Foundation Models: A Survey
Xuan Xiao, Jiahang Liu, Zhipeng Wang, et al.
Neurocomputing (2025), pp. 129963-129963
Closed Access
Stochastic optimal well control in subsurface reservoirs using reinforcement learning
Atish Dixit, Ahmed H. Elsheikh
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105106-105106
Open Access | Times Cited: 14
Guided Reinforcement Learning: A Review and Evaluation for Efficient and Effective Real-World Robotics [Survey]
Julian Eßer, Nicolas Bach, Christian Jestel, et al.
IEEE Robotics & Automation Magazine (2022) Vol. 30, Iss. 2, pp. 67-85
Open Access | Times Cited: 13
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer
Elie Aljalbout, F. Frank, Maximilian Karl, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 6, pp. 5895-5902
Open Access | Times Cited: 2
Examining the simulation-to-reality gap of a wheel loader digging in deformable terrain
Koji Aoshima, Martin Servin
Multibody System Dynamics (2024)
Open Access | Times Cited: 2
Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots
Halil İbrahim Uğurlu, Huy Xuan Pham, Erdal Kayacan
Robotics (2022) Vol. 11, Iss. 5, pp. 109-109
Open Access | Times Cited: 9
Bridging the Reality Gap Between Virtual and Physical Environments Through Reinforcement Learning
Mahesh Ranaweera, Qusay H. Mahmoud
IEEE Access (2023) Vol. 11, pp. 19914-19927
Open Access | Times Cited: 5
Adaptive Robotic Information Gathering via non-stationary Gaussian processes
Weizhe Chen, Roni Khardon, Lantao Liu
The International Journal of Robotics Research (2023) Vol. 43, Iss. 4, pp. 405-436
Open Access | Times Cited: 4
Addressing data imbalance in Sim2Real: ImbalSim2Real scheme and its application in finger joint stiffness self-sensing for soft robot-assisted rehabilitation
Zhongchao Zhou, Yuxi Lu, Pablo E. Tortós-Vinocour, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 1
Analysis of Mobile Robot Control by Reinforcement Learning Algorithm
Jakub Bernat, Paweł Czopek, Szymon Bartosik
Electronics (2022) Vol. 11, Iss. 11, pp. 1754-1754
Open Access | Times Cited: 6
Robotic Arm
Nidhi Chahal, Ruchi Bisht, Arun Kumar Rana, et al.
(2023), pp. 323-339
Closed Access | Times Cited: 3
Domain Randomization for Robust, Affordable and Effective Closed-Loop Control of Soft Robots
Gabriele Tiboni, Andrea Protopapa, Tatiana Tommasi, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 612-619
Open Access | Times Cited: 3
Rocket Engine Control with Neural Networks: Experimental Results of the LUMEN Turbopump Test Campaign
Kai Dresia, Antonius Adler, Anirudh Mukund Saraf, et al.
AIAA SCITECH 2022 Forum (2023)
Closed Access | Times Cited: 2
Combining Reinforcement Learning and Lazy Learning for Faster Few-Shot Transfer Learning
Zvezdan Lončarević, Mihael Simonič, Aleš Ude, et al.
2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids) (2022) Vol. abs/2103.04616, pp. 285-290
Closed Access | Times Cited: 4
Effects of Increased Entropy on Robustness of Reinforcement Learning for Robot Box-Pushing
Zvezdan Lončarević, Andrej Gams
Mechanisms and machine science (2024), pp. 97-105
Closed Access
Determining Sample Quantity for Robot Vision-to-Motion Cloth Flattening
Peter Nimac, Andrej Gams
Mechanisms and machine science (2024), pp. 3-11
Closed Access
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