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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 Transfer in Deep Reinforcement Learning for Robotics: a Survey
Wenshuai Zhao, Jorge Peña Queralta, Tomi Westerlund
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2020), pp. 737-744
Open Access | Times Cited: 487

Showing 1-25 of 487 citing articles:

Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 11, pp. 13344-13362
Open Access | Times Cited: 285
Path planning and obstacle avoidance for AUV: A review
Chunxi Cheng, Qixin Sha, Bo He, et al.
Ocean Engineering (2021) Vol. 235, pp. 109355-109355
Closed Access | Times Cited: 194
Deep reinforcement learning in smart manufacturing: A review and prospects
Chengxi Li, Pai Zheng, Yue Yin, et al.
CIRP journal of manufacturing science and technology (2022) Vol. 40, pp. 75-101
Closed Access | Times Cited: 148
Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic
Dong Chen, Mohammad R. Hajidavalloo, Zhaojian Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 11, pp. 11623-11638
Open Access | Times Cited: 73
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette, et al.
Journal of Artificial Intelligence Research (2023) Vol. 76, pp. 201-264
Open Access | Times Cited: 71
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
A deep learning-enhanced Digital Twin framework for improving safety and reliability in human–robot collaborative manufacturing
Shenglin Wang, Jingqiong Zhang, Peng Wang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102608-102608
Open Access | Times Cited: 54
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Lu Dong, Zichen He, Chunwei Song, et al.
Journal of Systems Engineering and Electronics (2023) Vol. 34, Iss. 2, pp. 439-459
Open Access | Times Cited: 52
Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis
Cong Gao, Benjamin D. Killeen, Yicheng Hu, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 3, pp. 294-308
Open Access | Times Cited: 49
Ten questions concerning reinforcement learning for building energy management
Zoltán Nagy, Gregor P. Henze, Sourav Dey, et al.
Building and Environment (2023) Vol. 241, pp. 110435-110435
Open Access | Times Cited: 49
Hybrid Robotic Grasping With a Soft Multimodal Gripper and a Deep Multistage Learning Scheme
Fukang Liu, Fuchun Sun, Bin Fang, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 3, pp. 2379-2399
Open Access | Times Cited: 42
Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
Chemical Reviews (2024) Vol. 124, Iss. 16, pp. 9633-9732
Open Access | Times Cited: 29
Machine learning for bridge wind engineering
Zeyu Zhang, Shanwu Li, Hui Feng, et al.
Advances in wind engineering. (2024) Vol. 1, Iss. 1, pp. 100002-100002
Open Access | Times Cited: 20
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: 14
Grand challenges in industrial and systems engineering
Waldemar Karwowski, Gavriel Salvendy, Laura A. Albert, et al.
International Journal of Production Research (2025), pp. 1-46
Open Access | Times Cited: 1
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
A Survey for Machine Learning-Based Control of Continuum Robots
Xiaomei Wang, Yingqi Li, Ka‐Wai Kwok
Frontiers in Robotics and AI (2021) Vol. 8
Open Access | Times Cited: 71
Transfer learning in demand response: A review of algorithms for data-efficient modelling and control
Thijs Peirelinck, Hussain Kazmi, Brida V. Mbuwir, et al.
Energy and AI (2021) Vol. 7, pp. 100126-100126
Open Access | Times Cited: 68
Deep Reinforcement Learning for Flocking Motion of Multi-UAV Systems: Learn From a Digital Twin
Gaoqing Shen, Lei Lei, Zhilin Li, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 13, pp. 11141-11153
Closed Access | Times Cited: 60
A Survey of Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 57
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
Recent Progress in Modeling and Control of Bio-Inspired Fish Robots
Boai Sun, Weikun Li, Zhangyuan Wang, et al.
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 6, pp. 773-773
Open Access | Times Cited: 40
Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms
Juan Manuel Dávila Delgado, Lukumon O. Oyedele
Advanced Engineering Informatics (2022) Vol. 54, pp. 101787-101787
Open Access | Times Cited: 39
Multi-UAV Cooperative Search Based on Reinforcement Learning With a Digital Twin Driven Training Framework
Gaoqing Shen, Lei Lei, Xinting Zhang, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 72, Iss. 7, pp. 8354-8368
Closed Access | Times Cited: 33
Evolutionary Reinforcement Learning: A Survey
Hui Bai, Ran Cheng, Yaochu Jin
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 33
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