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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:

Transferring policy of deep reinforcement learning from simulation to reality for robotics
Hao Ju, Rongshun Juan, Randy Gómez, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 12, pp. 1077-1087
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Machine learning for micro- and nanorobots
Lidong Yang, Jialin Jiang, Fengtong Ji, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 6, pp. 605-618
Closed Access | Times Cited: 15
Deep reinforcement learning based energy management strategies for electrified vehicles: Recent advances and perspectives
Hongwen He, Xiangfei Meng, Yong Wang, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114248-114248
Closed Access | Times Cited: 36
Integrating artificial intelligence in industry 4.0: insights, challenges, and future prospects–a literature review
Abd El Hedi Gabsi
Annals of Operations Research (2024)
Closed Access | Times Cited: 9
Imitation learning from imperfect demonstrations for AUV path tracking and obstacle avoidance
Tianhao Chen, Zheng Zhang, Zheng Fang, et al.
Ocean Engineering (2024) Vol. 298, pp. 117287-117287
Closed Access | Times Cited: 6
Constrained Visual Representation Learning With Bisimulation Metrics for Safe Reinforcement Learning
Rongrong Wang, Yuhu Cheng, Xuesong Wang
IEEE Transactions on Image Processing (2025) Vol. 34, pp. 379-393
Closed Access
Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs
Jieke Shi, Zhou Yang, Junda He, et al.
ACM Transactions on Software Engineering and Methodology (2025)
Open Access
Simulation-to-reality transferability framework for operating-parameter forecasting in nuclear reactors using domain adaptation
Weiqing Lin, Xi-Ren Miao, Jing Chen, et al.
Nuclear Science and Techniques (2025) Vol. 36, Iss. 5
Closed Access
Enabling intelligent transferable energy management of series hybrid electric tracked vehicle across motion dimensions via soft actor-critic algorithm
Hongwen He, Qicong Su, Ruchen Huang, et al.
Energy (2024) Vol. 294, pp. 130933-130933
Closed Access | Times Cited: 4
Harnessing the power of artificial intelligence for human living organoid research
Hui Wang, Xiangyang Li, Xiaoyan You, et al.
Bioactive Materials (2024) Vol. 42, pp. 140-164
Open Access | Times Cited: 4
Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General Environments
Alberto del Río, David Jiménez, Javier Serrano
IEEE Access (2024) Vol. 12, pp. 146795-146806
Open Access | Times Cited: 4
Virtual data generation for human intention prediction based on digital modeling of human-robot collaboration
Bitao Yao, Biao Yang, Wenjun Xu, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 87, pp. 102714-102714
Closed Access | Times Cited: 9
Autonomous mining through cooperative driving and operations enabled by parallel intelligence
Long Chen, Yuting Xie, Yuhang He, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 3
Deep transfer learning for efficient and accurate prediction of composite pressure vessel behaviors
Hyunsoo Hong, Won-Ki Kim, Samuel Kim, et al.
Composites Part A Applied Science and Manufacturing (2024) Vol. 186, pp. 108413-108413
Closed Access | Times Cited: 3
Spatial–temporal recurrent reinforcement learning for autonomous ships
Martin Waltz, Ostap Okhrin
Neural Networks (2023) Vol. 165, pp. 634-653
Open Access | Times Cited: 7
Machine learning models in phononic metamaterials
Chen‐Xu Liu, Gui‐Lan Yu, Zhanli Liu
Current Opinion in Solid State and Materials Science (2023) Vol. 28, pp. 101133-101133
Closed Access | Times Cited: 7
Knowledge transfer enabled reinforcement learning for efficient and safe autonomous ship collision avoidance
Chengbo Wang, Ning Wang, Hongbo Gao, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 9, pp. 3715-3731
Closed Access | Times Cited: 2
Design and Application of Deep Reinforcement Learning Algorithms Based on Unbiased Exploration Strategies for Value Functions
Pingli Lv
Measurement Sensors (2024) Vol. 34, pp. 101241-101241
Open Access | Times Cited: 2
Safe Reinforcement Learning With Dual Robustness
Zeyang Li, Chuxiong Hu, Yunan Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10876-10890
Open Access | Times Cited: 2
Integrated Intelligent Control of Redundant Degrees-of-Freedom Manipulators via the Fusion of Deep Reinforcement Learning and Forward Kinematics Models
Y. Chen, Shijie Su, Kai Ni, et al.
Machines (2024) Vol. 12, Iss. 10, pp. 667-667
Open Access | Times Cited: 2
Machine learning for online control of particle accelerators
Xiaolong Chen, Zhijun Wang, Yuan He, et al.
Science China Physics Mechanics and Astronomy (2024) Vol. 68, Iss. 2
Closed Access | Times Cited: 2
Increasing the Flexibility of Hydropower with Reinforcement Learning on a Digital Twin Platform
Carlotta Tubeuf, Felix Birkelbach, Anton Maly, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1796-1796
Open Access | Times Cited: 6
A Q-learning approach to the continuous control problem of robot inverted pendulum balancing
Mohammad Safeea, Pedro Neto
Intelligent Systems with Applications (2023) Vol. 21, pp. 200313-200313
Open Access | Times Cited: 5
Dexterous manipulation of construction tools using anthropomorphic robotic hand
Lei Huang, Weijia Cai, Zihan Zhu, et al.
Automation in Construction (2023) Vol. 156, pp. 105133-105133
Closed Access | Times Cited: 4
Integrated Learning-based Framework for Autonomous Quadrotor UAV Landing on a Collaborative Moving UGV
Chang Wang, Jiaqing Wang, Zhaowei Ma, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 11, pp. 16092-16107
Closed Access | Times Cited: 1
Automated design and optimization of distributed filter circuits using reinforcement learning
Peng Gao, Tao Yu, Fei Wang, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 5, pp. 60-76
Open Access | Times Cited: 1
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