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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:

Federated Reinforcement Learning for Collective Navigation of Robotic Swarms
Seongin Na, Tomáš Rouček, J. Ulrich, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 15, Iss. 4, pp. 2122-2131
Open Access | Times Cited: 23

Showing 23 citing articles:

Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey
James Orr, Ayan Dutta
Sensors (2023) Vol. 23, Iss. 7, pp. 3625-3625
Open Access | Times Cited: 62
Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators
Marc-André Blais, Moulay A. Akhloufi
Cognitive Robotics (2023) Vol. 3, pp. 226-256
Open Access | Times Cited: 26
LoRaWAN Meets ML: A Survey on Enhancing Performance with Machine Learning
Arshad Farhad, Jae-Young Pyun
Sensors (2023) Vol. 23, Iss. 15, pp. 6851-6851
Open Access | Times Cited: 18
Federated Reinforcement Learning in IoT: Applications, Opportunities and Open Challenges
Euclides Carlos Pinto Neto, Somayeh Sadeghi, Xichen Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6497-6497
Open Access | Times Cited: 17
Edge-based adaptive secure consensus for nonlinear multiagent systems with communication link attacks
Miao Zhao, Jianxiang Xi, Le Wang, et al.
Neurocomputing (2023) Vol. 551, pp. 126505-126505
Closed Access | Times Cited: 12
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
Afreen Islam, Anthony Siming Chen, Guido Herrmann
International Journal of Adaptive Control and Signal Processing (2025)
Open Access
Dynamic Foraging in Swarm Robotics: A Hybrid Approach with Modular Design and Deep Reinforcement Learning Intelligence
Ali Hammoud, Alaa Iskandar, Béla Kovács
Informatics and Automation (2025) Vol. 24, Iss. 1, pp. 51-71
Open Access
RFDG: Reinforcement Federated Domain Generalization
Zeli Guan, Yawen Li, Zhenhui Pan, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 3, pp. 1285-1298
Closed Access | Times Cited: 9
QFuture: Learning Future Expectation Cognition in Multi-Agent Reinforcement Learning
Boyin Liu, Zhiqiang Pu, Yi Pan, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 16, Iss. 4, pp. 1302-1314
Closed Access | Times Cited: 2
How to Design Reinforcement Learning Methods for the Edge: An Integrated Approach toward Intelligent Decision Making
Guanlin Wu, D. Zhang, Zhengyuan Miao, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1281-1281
Open Access | Times Cited: 2
Deep Reinforcement Learning With Multicritic TD3 for Decentralized Multirobot Path Planning
Heqing Yin, Chang Wang, Chao Yan, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 16, Iss. 4, pp. 1233-1247
Closed Access | Times Cited: 1
Long-Term and Short-Term Opponent Intention Inference for Football Multi-Player Policy Learning
Shijie Wang, Zhiqiang Pu, Yi Pan, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 16, Iss. 6, pp. 2055-2069
Closed Access | Times Cited: 1
A Review of Personalized Federated Reinforcement Learning
Gaofeng Chen, Qingtao Wu
International Journal of Computer Science and Information Technology (2024) Vol. 3, Iss. 1, pp. 1-9
Open Access | Times Cited: 1
Enhancing cooperative multi-agent reinforcement learning through the integration of R-STDP and federated learning
Mohammad Tayefe Ramezanlou, Howard M. Schwartz, Ioannis Lambadaris, et al.
Neurocomputing (2024), pp. 129005-129005
Open Access | Times Cited: 1
Iterative transfer learning for automatic collective motion tuning on multiple robot platforms
Shadi Abpeikar, Kathryn Kasmarik, Matthew Garratt
Frontiers in Neurorobotics (2023) Vol. 17
Open Access | Times Cited: 1
Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-Place
Wenxing Liu, Hanlin Niu, Robert Skilton, et al.
Lecture notes in computer science (2023), pp. 240-252
Closed Access | Times Cited: 1
Enhancing Robotic Autonomy and Deep Reinforcement Learning Applications
Ridhima Goel, Jagdeep Singla
Advances in logistics, operations, and management science book series (2024), pp. 295-312
Closed Access
Centralized and Decentralized Federated Learning in Autonomous Swarm Robots: Approaches, Algorithms, Optimization Criteria and Challenges : The Sixth Edition of International Conference on Pattern Analysis and Intelligent Systems (PAIS’24)
Aicha Hafid, Riadh Hocine, Lahcene Guezouli, et al.
(2024), pp. 1-8
Closed Access
Obstacle Detection and Avoidance Methods for Mobile Robot in Indoor Environment
Yixiao Du, Zhibin Mo, Xiansheng Yang, et al.
Research Square (Research Square) (2024)
Open Access
BR-DeFedRL: Byzantine-Robust Decentralized Federated Reinforcement Learning with Fast Convergence and Communication Efficiency
Jing Qiao, Zuyuan Zhang, Sheng Yue, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (2024), pp. 141-150
Closed Access
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation
Shreya Gummadi, Mateus V. Gasparino, Deepak Vasisht, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 12, pp. 11841-11848
Open Access
An integrated Design Methodology for Swarm Robotics using Model-Based Systems Engineering and Robot Operating System
Khalil Aloui, Amir Guizani, Moncef Hammadi, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2023) Vol. 238, Iss. 11, pp. 5159-5185
Closed Access
Make Federated Learning a Standard in Robotics by Using ROS2
Roberto Aparici Marino, Lorenzo Carnevale, Maria Fazio, et al.
(2023), pp. 1-6
Open Access
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