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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:

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: 60

Showing 1-25 of 60 citing articles:

Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects
Yuchuang Tong, Haotian Liu, Zhengtao Zhang
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 2, pp. 301-328
Closed Access | Times Cited: 40
A survey on multi-agent reinforcement learning and its application
Zepeng Ning, Lihua Xie
Journal of Automation and Intelligence (2024) Vol. 3, Iss. 2, pp. 73-91
Open Access | Times Cited: 11
Comparative Analysis of Classic and Reinforcement Learning Approaches for Robot Navigation in Dynamic Environments
Hossein Yarahmadi, Hussein Marah, Moharram Challenger
Communications in computer and information science (2025), pp. 305-316
Closed Access
IntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving
Leandro Parada, Kevin Yu, Panagiotis Angeloudis
IEEE Robotics and Automation Letters (2025) Vol. 10, Iss. 3, pp. 2478-2485
Closed Access
A Decentralized Partially Observable Markov Decision Process for complete coverage onboard multiple shape changing reconfigurable robots
J. J. J. Pey, S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, et al.
Expert Systems with Applications (2025), pp. 126565-126565
Closed 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
Event-triggered synchronisation of unknown heterogeneous coupled harmonic oscillators
Jiaojiao Zhuang, Zhenxing Li, Chengdong Yang, et al.
International Journal of Control (2025), pp. 1-8
Closed Access
Internet of Robotic Things: Current Technologies, Challenges, Applications, and Future Research Topics
Jakub Krejčí, Marek Babiuch, Jiří Suder, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 765-765
Open Access
DANCE: Distributed co-evolutionary design of velocity controllers for swarm intelligence robots in flocking and entrapping tasks
Chen Wang, Cheng Zhu, Xianqiang Zhu, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101854-101854
Closed Access
A Comprehensive Review of Deep Learning Techniques in Mobile Robot Path Planning: Categorization and Analysis
Reza Hoseinnezhad
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2179-2179
Open Access
Multi-agent deep reinforcement learning-based robotic arm assembly research
Guohua Cao, Jimeng Bai
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0311550-e0311550
Open Access
MULTI-AGENT REINFORCEMENT LEARNING FOR OPTIMAL DESIGN OF 3D-STEEL FRAMES AS ASSEMBLY OF 2D-FRAMES
Kotaro TAKENAKA, Makoto Ohsaki, Makoto Yamakawa, et al.
Journal of Structural and Construction Engineering (Transactions of AIJ) (2025) Vol. 90, Iss. 829, pp. 334-343
Closed Access
Deep Reinforcement Learning for Facilitating Human-Robot Interaction in Manufacturing
Nathan Eskue, Márcia Baptista
Springer series in advanced manufacturing (2025), pp. 69-95
Closed Access
Suboptimality of Constrained Action Adversarial Cyber-Physical Games
T. Adams, Andrew C. Cullen, Tansu Alpcan
Dynamic Games and Applications (2025)
Open Access
A Multi-Agent Deep Reinforcement Learning System for Governmental Interoperability
Azanu Mirolgn Mequanenit, Eyerusalem Alebachew Nibret, Pilar Herrero-Martín, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3146-3146
Open Access
Embodied navigation
Yunhao Liu, Li Liu, Yuan F. Zheng, et al.
Science China Information Sciences (2025) Vol. 68, Iss. 4
Open Access
Energy Efficient Path Planning Scheme for Unmanned Aerial Vehicle Using Hybrid Generic Algorithm-Based Q-Learning Optimization
Rashid A. Saeed, Elmustafa Sayed Ali, Maha Abdelhaq, et al.
IEEE Access (2023) Vol. 12, pp. 13400-13417
Open Access | Times Cited: 11
Artificial general intelligence for the upstream geoenergy industry: a review
Jimmy Xuekai Li, Tiancheng Zhang, Yiran Zhu, et al.
Gas Science and Engineering (2024) Vol. 131, pp. 205469-205469
Open Access | Times Cited: 2
Metal–air batteries for powering robots
Daiyuan Zhong, Keliang Wang, Yayu Zuo, et al.
Journal of Materials Chemistry A (2023) Vol. 11, Iss. 46, pp. 25115-25135
Closed Access | Times Cited: 7
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments
Vu Phi Tran, Matthew Garratt, Sreenatha G. Anavatti, et al.
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101615-101615
Open Access | Times Cited: 2
Navigation Based on Hybrid Decentralized and Centralized Training and Execution Strategy for Multiple Mobile Robots Reinforcement Learning
Yanyan Dai, Deokgyu Kim, Ki-Dong Lee
Electronics (2024) Vol. 13, Iss. 15, pp. 2927-2927
Open Access | Times Cited: 2
Sensing and Navigation for Multiple Mobile Robots Based on Deep Q-Network
Yanyan Dai, Seokho Yang, Ki-Dong Lee
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4757-4757
Open Access | Times Cited: 6
Path Planning Algorithm for Dual-Arm Robot Based on Depth Deterministic Gradient Strategy Algorithm
Xiaomei Zhang, Fan Yang, Qiwen Jin, et al.
Mathematics (2023) Vol. 11, Iss. 20, pp. 4392-4392
Open Access | Times Cited: 5
Research on multi-robot collaborative operation in logistics and warehousing using A3C optimized YOLOv5-PPO model
Lei Wang, Guangjun Liu
Frontiers in Neurorobotics (2024) Vol. 17
Open Access | Times Cited: 1
Supporting Architectural Decision Making on Training Strategies in Reinforcement Learning Architectures
Evangelos Ntentos, Stephen John Warnett, Uwe Zdun
(2024), pp. 90-100
Closed Access | Times Cited: 1
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