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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:

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

Showing 1-25 of 71 citing articles:

Domain Generalization: A Survey
Kaiyang Zhou, Ziwei Liu, Yu Qiao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-20
Open Access | Times Cited: 617
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
End-to-End Autonomous Driving: Challenges and Frontiers
Li Chen, Penghao Wu, Kashyap Chitta, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10164-10183
Open Access | Times Cited: 77
Organizing memories for generalization in complementary learning systems
Weinan Sun, Madhu Advani, Nelson Spruston, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 8, pp. 1438-1448
Open Access | Times Cited: 43
A taxonomy and review of generalization research in NLP
Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 10, pp. 1161-1174
Open Access | Times Cited: 23
Autonomous morphing strategy for a long-range aircraft using reinforcement learning
Baochao Zhang, Jie Guo, Haoning Wang, et al.
Aerospace Science and Technology (2024) Vol. 148, pp. 109087-109087
Closed Access | Times Cited: 7
Sicgan-Driven Sim-to-Real Transfer: Zero-Shot Deployment on Robotic Manipulators Through Visual Deception
Lucía Güitta-López, Lionel Güitta-López, Jaime Boal Martín-Larrauri, et al.
(2025)
Closed Access
Significance extraction based on data augmentation for reinforcement learning
Yuxi Han, Dequan Li, Yang Yang
Frontiers of Information Technology & Electronic Engineering (2025)
Closed Access
Embodied large language models enable robots to complete complex tasks in unpredictable environments
Ruaridh Mon-Williams, Gen Li, Ran Long, et al.
Nature Machine Intelligence (2025)
Open Access
Resilience and Resilient Systems of Artificial Intelligence: Taxonomy, Models and Methods
Viacheslav Moskalenko, Vyacheslav Kharchenko, Alona Moskalenko, et al.
Algorithms (2023) Vol. 16, Iss. 3, pp. 165-165
Open Access | Times Cited: 14
Learning-based methods for adaptive informative path planning
Marija Popović, Joshua Ott, Julius Rückin, et al.
Robotics and Autonomous Systems (2024) Vol. 179, pp. 104727-104727
Open Access | Times Cited: 4
Sim-to-real transfer of active suspension control using deep reinforcement learning
Viktor Wiberg, Erik Wallin, Arvid Fälldin, et al.
Robotics and Autonomous Systems (2024) Vol. 179, pp. 104731-104731
Open Access | Times Cited: 4
Reinforcement Learning for Autonomous Process Control in Industry 4.0: Advantages and Challenges
Nuria Nievas, Adela Pagès‐Bernaus, Francesc Bonada, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 4
Real-time energy management for HEV combining naturalistic driving data and deep reinforcement learning with high generalization
Zemin Eitan Liu, Yong Li, Quan Zhou, et al.
Applied Energy (2024) Vol. 377, pp. 124350-124350
Closed Access | Times Cited: 4
Generalization in Deep Reinforcement Learning for Robotic Navigation by Reward Shaping
Victor R. F. Miranda, Armando Alves Neto, Gustavo Freitas, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 6, pp. 6013-6020
Open Access | Times Cited: 10
Machine learning augmented branch and bound for mixed integer linear programming
Lara Scavuzzo, Karen Aardal, Andrea Lodi, et al.
Mathematical Programming (2024)
Open Access | Times Cited: 3
Learning General Policies with Policy Gradient Methods
Simon Ståhlberg, Blai Bonet, Héctor Geffner
(2023), pp. 647-657
Open Access | Times Cited: 7
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
Renzhe Zhou, Chen-Xiao Gao, Zongzhang Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 17132-17140
Open Access | Times Cited: 2
Structure in Deep Reinforcement Learning: A Survey and Open Problems
Aditya Mohan, Amy Zhang, Marius Lindauer
Journal of Artificial Intelligence Research (2024) Vol. 79, pp. 1167-1236
Open Access | Times Cited: 2
Robust Longitudinal Control for Vehicular Platoons Using Deep Reinforcement Learning
Armando Alves Neto, Leonardo Amaral Mozelli
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 14401-14410
Closed Access | Times Cited: 2
Multiagent Reinforcement Learning: Methods, Trustworthiness, Applications in Intelligent Vehicles, and Challenges
Ziyuan Zhou, Guanjun Liu, Ying Tang
IEEE Transactions on Intelligent Vehicles (2024), pp. 1-23
Closed Access | Times Cited: 2
Learn to Rotate: Part Orientation for Reducing Support Volume via Generalizable Reinforcement Learning
Peizhi Shi, Qunfen Qi, Yuchu Qin, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 12, pp. 11687-11700
Open Access | Times Cited: 6
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou, Guanjun Liu, Ying Tang
arXiv (Cornell University) (2023)
Open Access | Times Cited: 6
Task attention-based multimodal fusion and curriculum residual learning for context generalization in robotic assembly
Chuang Wang, Ze Lin, Biao Liu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4713-4735
Closed Access | Times Cited: 1
A zero-shot reinforcement learning strategy for autonomous guidewire navigation
Valentina Scarponi, Michel Duprez, Florent Nageotte, et al.
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 6, pp. 1185-1192
Closed Access | Times Cited: 1
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