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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:

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: 382

Showing 1-25 of 382 citing articles:

Robot learning towards smart robotic manufacturing: A review
Zhihao Liu, Quan Liu, Wenjun Xu, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 77, pp. 102360-102360
Open Access | Times Cited: 123
Recent advancements of robotics in construction
Bo Xiao, Chen Chen, Xianfei Yin
Automation in Construction (2022) Vol. 144, pp. 104591-104591
Open Access | Times Cited: 89
The Expanding Role of Artificial Intelligence in Collaborative Robots for Industrial Applications: A Systematic Review of Recent Works
Alberto Borboni, Karna Vishnu Vardhana Reddy, Irraivan Elamvazuthi, et al.
Machines (2023) Vol. 11, Iss. 1, pp. 111-111
Open Access | Times Cited: 72
A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision
Nikoleta Manakitsa, George S. Maraslidis, Lazaros Moysis, et al.
Technologies (2024) Vol. 12, Iss. 2, pp. 15-15
Open Access | Times Cited: 60
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
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities
Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, et al.
Journal of Artificial Intelligence Research (2024) Vol. 79, pp. 359-415
Open Access | Times Cited: 31
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review
Mokhaled N. A. Al-Hamadani, Mohammed A. Fadhel, Laith Alzubaidi, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2461-2461
Open Access | Times Cited: 17
Active Flow Control for Drag Reduction Through Multi-agent Reinforcement Learning on a Turbulent Cylinder at $$Re_D=3900$$
Pol Suárez, Francisco Alcántara-Ávila, Arnau Miró, et al.
Flow Turbulence and Combustion (2025)
Open Access | Times Cited: 2
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
Abhiram Iyer, Karan Grewal, Akash Velu, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 39
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
Deep reinforcement learning-based active flow control of vortex-induced vibration of a square cylinder
Bernd R. Noack
Physics of Fluids (2023) Vol. 35, Iss. 5
Closed Access | Times Cited: 37
Internet of robotic things for mobile robots: Concepts, technologies, challenges, applications, and future directions
Homayun Kabir, Mau‐Luen Tham, Yoong Choon Chang
Digital Communications and Networks (2023) Vol. 9, Iss. 6, pp. 1265-1290
Open Access | Times Cited: 37
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: 37
World models and predictive coding for cognitive and developmental robotics: frontiers and challenges
Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, et al.
Advanced Robotics (2023) Vol. 37, Iss. 13, pp. 780-806
Open Access | Times Cited: 35
Explainable Reinforcement Learning: A Survey and Comparative Review
Stephanie Milani, Nicholay Topin, Manuela Veloso, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-36
Open Access | Times Cited: 32
Runtime Assurance for Safety-Critical Systems: An Introduction to Safety Filtering Approaches for Complex Control Systems
Kerianne L. Hobbs, Mark Mote, Matthew Abate, et al.
IEEE Control Systems (2023) Vol. 43, Iss. 2, pp. 28-65
Open Access | Times Cited: 28
Machine learning in additive manufacturing & Microfluidics for smarter and safer drug delivery systems
Aikaterini Dedeloudi, Edward Weaver, Dimitrios A. Lamprou
International Journal of Pharmaceutics (2023) Vol. 636, pp. 122818-122818
Open Access | Times Cited: 28
Intelligent robots and human–robot collaboration in the construction industry: A review
Hsi-Hien Wei, Yuting Zhang, Ximing Sun, et al.
Journal of Intelligent Construction (2023) Vol. 1, Iss. 1, pp. 9180002-9180002
Open Access | Times Cited: 26
Autonomous navigation of mobile robots in unknown environments using off-policy reinforcement learning with curriculum learning
Yan Yin, Zhiyu Chen, Gang Liu, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123202-123202
Closed Access | Times Cited: 14
When do employees learn from artificial intelligence? The moderating effects of perceived enjoyment and task-related complexity
Yunjian Li, Yixiao Song, Yanming Sun, et al.
Technology in Society (2024) Vol. 77, pp. 102518-102518
Closed Access | Times Cited: 12
Adaptive reward shaping based reinforcement learning for docking control of autonomous underwater vehicles
Shuguang Chu, Mingwei Lin, Dejun Li, et al.
Ocean Engineering (2024) Vol. 318, pp. 120139-120139
Closed Access | Times Cited: 12
Machine learning meets advanced robotic manipulation
Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, et al.
Information Fusion (2024) Vol. 105, pp. 102221-102221
Open Access | Times Cited: 10
Learning-based legged locomotion: State of the art and future perspectives
Sehoon Ha, Joon-Ho Lee, Michiel van de Panne, et al.
The International Journal of Robotics Research (2025)
Closed Access | Times Cited: 1
2-level reinforcement learning for ships on inland waterways: Path planning and following
Martin Waltz, Niklas Paulig, Ostap Okhrin
Expert Systems with Applications (2025) Vol. 274, pp. 126933-126933
Open Access | Times Cited: 1
Active learning in robotics: A review of control principles
Annalisa Taylor, Thomas A. Berrueta, Todd Murphey
Mechatronics (2021) Vol. 77, pp. 102576-102576
Open Access | Times Cited: 53
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