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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:

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Jie Tan, Tingnan Zhang, Erwin Coumans, et al.
(2018)
Open Access | Times Cited: 573

Showing 1-25 of 573 citing articles:

Learning agile and dynamic motor skills for legged robots
Jemin Hwangbo, Joonho Lee, Alexey Dosovitskiy, et al.
Science Robotics (2019) Vol. 4, Iss. 26
Open Access | Times Cited: 1031
Learning quadrupedal locomotion over challenging terrain
Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, et al.
Science Robotics (2020) Vol. 5, Iss. 47
Open Access | Times Cited: 730
Solving Rubik's Cube with a Robot Hand
OpenAI, Ilge Akkaya, Marcin Andrychowicz, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 655
Unity: A General Platform for Intelligent Agents
Arthur Juliani, Vincent-Pierre Berges, Esh Vckay, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 557
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
Yevgen Chebotar, Ankur Handa, Viktor Makoviychuk, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 8973-8979
Open Access | Times Cited: 409
Learning robust perceptive locomotion for quadrupedal robots in the wild
Takahiro Miki, Joonho Lee, Jemin Hwangbo, et al.
Science Robotics (2022) Vol. 7, Iss. 62
Open Access | Times Cited: 391
How to train your robot with deep reinforcement learning: lessons we have learned
Julian Ibarz, Jie Tan, Chelsea Finn, et al.
The International Journal of Robotics Research (2021) Vol. 40, Iss. 4-5, pp. 698-721
Open Access | Times Cited: 380
Learning to Walk Via Deep Reinforcement Learning
Tuomas Haarnoja, Sehoon Ha, Aurick Zhou, et al.
(2019)
Open Access | Times Cited: 373
Adaptive Power System Emergency Control Using Deep Reinforcement Learning
Qiuhua Huang, Renke Huang, Weituo Hao, et al.
IEEE Transactions on Smart Grid (2019) Vol. 11, Iss. 2, pp. 1171-1182
Open Access | Times Cited: 307
Learning Agile Robotic Locomotion Skills by Imitating Animals
Xue Bin Peng, Erwin Coumans, Tingnan Zhang, et al.
(2020)
Open Access | Times Cited: 277
A Survey on optimized implementation of deep learning models on the NVIDIA Jetson platform
Sparsh Mittal
Journal of Systems Architecture (2019) Vol. 97, pp. 428-442
Closed Access | Times Cited: 242
Autonomous navigation of stratospheric balloons using reinforcement learning
Marc G. Bellemare, Salvatore Candido, Pablo Samuel Castro, et al.
Nature (2020) Vol. 588, Iss. 7836, pp. 77-82
Closed Access | Times Cited: 215
First return, then explore
Adrien Ecoffet, Joost Huizinga, Joel Lehman, et al.
Nature (2021) Vol. 590, Iss. 7847, pp. 580-586
Closed Access | Times Cited: 201
An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research
Felix Grimminger, Avadesh Meduri, Majid Khadiv, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 2, pp. 3650-3657
Open Access | Times Cited: 179
A Review of Physics Simulators for Robotic Applications
Jack Collins, Shelvin Chand, Anthony Vanderkop, et al.
IEEE Access (2021) Vol. 9, pp. 51416-51431
Open Access | Times Cited: 172
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 11164-11173
Open Access | Times Cited: 170
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Zheng Tang, Milind Naphade, Stan Birchfield, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 211-220
Open Access | Times Cited: 167
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
Matt Deitke, Winson Han, Alvaro Herrasti, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 157
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost
Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 3651-3657
Open Access | Times Cited: 149
Intelligent Control of Multilegged Robot Smooth Motion: A Review
Yongyong Zhao, Jinghua Wang, Guohua Cao, et al.
IEEE Access (2023) Vol. 11, pp. 86645-86685
Open Access | Times Cited: 81
Rapid Locomotion via Reinforcement Learning
Gabriel B. Margolis, Ge Yang, Kartik Paigwar, et al.
(2022)
Open Access | Times Cited: 77
Toward Autonomous Multi-UAV Wireless Network: A Survey of Reinforcement Learning-Based Approaches
Yu Bai, Huijun Zhao, X. L. Zhang, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 3038-3067
Open Access | Times Cited: 61
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: 54
Drone Elevation Control Based on Python-Unity Integrated Framework for Reinforcement Learning Applications
Mahmoud Abdelkader Bashery Abbass, Hyun‐Soo Kang
Drones (2023) Vol. 7, Iss. 4, pp. 225-225
Open Access | Times Cited: 45
A survey on model-based reinforcement learning
Fan-Ming Luo, Tian Xu, Hang Lai, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 2
Open Access | Times Cited: 33
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