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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:

Crossing the Reality Gap: A Survey on Sim-to-Real Transferability of Robot Controllers in Reinforcement Learning
Erica Salvato, Gianfranco Fenu, Eric Medvet, et al.
IEEE Access (2021) Vol. 9, pp. 153171-153187
Open Access | Times Cited: 93

Showing 51-75 of 93 citing articles:

Reinforcement Learning in Few-Shot Scenarios: A Survey
Zhechao Wang, Qiming Fu, Jianping Chen, et al.
Journal of Grid Computing (2023) Vol. 21, Iss. 2
Closed Access | Times Cited: 2
Guiding Reinforcement Learning with Shared Control Templates
Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, et al.
(2023)
Open Access | Times Cited: 2
Drone-racing champions outpaced by AI
Guido C. H. E. de Croon
Nature (2023) Vol. 620, Iss. 7976, pp. 952-954
Closed Access | Times Cited: 2
Fine-Tuning Multimodal Transformer Models for Generating Actions in Virtual and Real Environments
Aleksei Staroverov, Andrey Gorodetsky, A. S. Krishtopik, et al.
IEEE Access (2023) Vol. 11, pp. 130548-130559
Open Access | Times Cited: 2
AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning
Shathushan Sivashangaran, Apoorva Khairnar, Azim Eskandarian
IFAC-PapersOnLine (2023) Vol. 56, Iss. 3, pp. 475-480
Open Access | Times Cited: 2
NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields
Valentina Muşat, Daniele De Martini, Matthew Gadd, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 3, pp. 2431-2438
Open Access
Modeling and Simulation Technologies for Effective Multi-agent Research
Kristin E. Schaefer, Ralph W. Brewer, Joshua Wickwire, et al.
Lecture notes in computer science (2024), pp. 86-104
Closed Access
HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents
Dániel Horváth, Jesús Bujalance Martín, Gábor Erdős, et al.
IEEE Access (2024) Vol. 12, pp. 100102-100119
Open Access
The Effect of Training Schedules on Morphological Robustness and Generalization
Edoardo Barba, Anil Yaman, Giovanni Iacca
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 1870-1878
Open Access
Domain Randomization for Sim2real Transfer of Automatically Generated Grasping Datasets
Johann Huber, François Hélénon, Hippolyte Watrelot, et al.
(2024), pp. 4112-4118
Open Access
Real-to-Sim Deformable Object Manipulation: Optimizing Physics Models with Residual Mappings for Robotic Surgery
Xiao Liang, Fei Liu, Yutong Zhang, et al.
(2024), pp. 15471-15477
Open Access
Coupled Requirements-Driven Testing of CPS: From Simulation to Reality
A.K. Agrawal, Philipp Zech, Michael Vierhauser
(2024), pp. 337-344
Open Access
Curriculum Design and Sim2Real Transfer for Reinforcement Learning in Robotic Dual-Arm Assembly
Konstantin Wrede, Sebastian Zarnack, Robert R. Lange, et al.
Machines (2024) Vol. 12, Iss. 10, pp. 682-682
Open Access
Intervention-Assisted Online Deep Reinforcement Learning for Stochastic Queuing Network Optimization
Jerrod Wigmore, Brooke Shrader, Eytan Modiano
(2024) Vol. 4, pp. 301-310
Closed Access
Robust Proximal Adversarial Reinforcement Learning Under Model Mismatch
Peng Zhai, Xiaoyi Wei, Taixian Hou, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 11, pp. 10248-10255
Closed Access
Safedrive dreamer: Navigating safety–critical scenarios in autonomous driving with world models
Haitao Li, Tao Peng, B Wang, et al.
Alexandria Engineering Journal (2024) Vol. 111, pp. 92-106
Open Access
Towards a Unified Framework for Software-Hardware Integration in Evolutionary Robotics
Edgar Buchanan, Léni K. Le Goff, Matthew F. Hale, et al.
Robotics (2024) Vol. 13, Iss. 11, pp. 157-157
Open Access
Applications of deep reinforcement learning in nuclear energy: A review
Yong‐Chao Liu, Bo Wang, Sichao Tan, et al.
Nuclear Engineering and Design (2024) Vol. 429, pp. 113655-113655
Closed Access
Robustifying a reinforcement learning agent-based bionic reflex controller through an adaptive sliding mode control
Hirakjyoti Basumatary, Daksh Adhar, Shyamanta M. Hazarika
Robotica (2024), pp. 1-24
Open Access
Model-free robust reinforcement learning via Polynomial Chaos
Jianxiang Liu, Faguo Wu, Xiao Zhang
Knowledge-Based Systems (2024), pp. 112783-112783
Closed Access
Cost-Effective Autonomous Drone Navigation Using Reinforcement Learning: Simulation and Real-World Validation
Tomasz Czarnecki, Marek Stawowy, Adam Kadłubowski
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 179-179
Open Access
Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data
Xian Yeow Lee, Haiyan Wang, Daisuke KATSUMATA, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 6058-6067
Closed Access
Evolving Hebbian Learning Rules in Voxel-based Soft Robots
Andrea Ferigo, Giovanni Iacca, Eric Medvet, et al.
(2021)
Open Access | Times Cited: 4
Nutzung von KI-Methoden für die Kupplungsentwicklung in automobilen Antriebssträngen
Stefan Altenburg, Florian Schuchter, Katharina Bause, et al.
Forschung im Ingenieurwesen (2023) Vol. 87, Iss. 2, pp. 571-579
Open Access | Times Cited: 1
Fundamentals of Evolutionary Machine Learning
Wolfgang Banzhaf, Penousal Machado
Genetic and evolutionary computation (2023), pp. 3-28
Closed Access | Times Cited: 1

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