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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 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: 18

Showing 18 citing articles:

Enhancing the generalization capability of 2D array pointer networks through multiple teacher-forcing knowledge distillation
Qidong Liu, X. Y. Shen, Chaoyue Liu, et al.
Journal of Automation and Intelligence (2025)
Open Access
Multi‐agent track confirmation utilising reinforcement learning and game theoretics
Geoffrey Dolinger, Timothy Sharp, Bryan Lavender, et al.
IET Radar Sonar & Navigation (2025) Vol. 19, Iss. 1
Open Access
Efficient Q-learning Hyperparameter Tuning Using FOX Optimization Algorithm
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid
Results in Engineering (2025), pp. 104341-104341
Open Access
Multi-Agent Reinforcement Learning for task allocation in the Internet of Vehicles: Exploring benefits and paving the future
Inam Ullah, Sushil Kumar Singh, Deepak Adhikari, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101878-101878
Closed Access
The evolution of cooperation in continuous dilemmas via multi-agent reinforcement learning
Congcong Zhu, Dayong Ye, Tianqing Zhu, et al.
Knowledge-Based Systems (2025), pp. 113153-113153
Closed Access
Droplet Sorting Computer: Design, optimization and device dynamics
Mohammad Shahab, Raghunathan Rengaswamy
Chemical Engineering Science (2025), pp. 121507-121507
Closed Access
Enhancing collaboration in uncertain environment: Multi-Agent Reinforcement Learning for underwater monitoring
Alberto Luvisutto, Antonio Celani, Federico Renda, et al.
Expert Systems with Applications (2025), pp. 127256-127256
Open Access
QMIX-GNN: A Graph Neural Network-Based Heterogeneous Multi-Agent Reinforcement Learning Model for Improved Collaboration and Decision-Making
Taiyin Zhao, Tian Chen, Dan Mu
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3794-3794
Open Access
How to support decision making with reinforcement learning in hierarchical chemical process control?
Kinga Szatmári, Tibor Chován, Sándor Németh, et al.
Chemical Engineering Journal Advances (2025), pp. 100753-100753
Open Access
A Multi-Agent Reinforcement Learning Approach for Continuous Battery Cell-Level Balancing
Yasaman Tavakol-Moghaddam, Mehrdad Boroushaki
Results in Engineering (2025), pp. 104898-104898
Open Access
A Nash Differential Game Approach in Observer‐Based LQR Controller Design
Mohammad Bashiri, Tahereh Binazadeh, Meysam Azhdari
Optimal Control Applications and Methods (2025)
Closed Access
The mapping trick: leveraging RoboSoccer obstacle avoidance and navigation for advanced task scheduling solutions in foggy IoE ecosystems
Seyed Omid Azarkasb, Seyed Hossein Khasteh
The Journal of Supercomputing (2025) Vol. 81, Iss. 5
Closed Access
Designing a Distributed LLM-Based Search Engine as a Foundation for Agent Discovery
Pedram Nilofary, Mehdi Feghhi, Morteza Analoui
(2025), pp. 1-6
Closed Access
More Like Real World Game Challenge for Partially Observable Multi-agent Cooperation
Xueou Feng, Yao Meng, Shengqi Shen, et al.
Lecture notes in computer science (2024), pp. 451-465
Closed Access | Times Cited: 2
Deep reinforcement learning assisted surrogate model management for expensive constrained multi-objective optimization
Shuai Shao, Ye Tian, Yajie Zhang
Swarm and Evolutionary Computation (2024) Vol. 92, pp. 101817-101817
Closed Access | Times Cited: 1
Improving the Resource Allocation in IoT Systems Based on the Integration of Reinforcement Learning and Rule-Based Approaches in Multi-agent Systems
Hossein Yarahmadi, Hamidreza Navidi, Moharram Challenger
(2024), pp. 135-141
Closed Access
Research on Path Planning of Agricultural UAV Based on Improved Deep Reinforcement Learning
Haitao Fu, Li Zheng, Weijian Zhang, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2669-2669
Open Access
A Multi-Agent Centralized Strategy Gradient Reinforcement Learning Algorithm Based on State Transition
Lei Sheng, Honghui Chen, Xiliang Chen
Algorithms (2024) Vol. 17, Iss. 12, pp. 579-579
Open Access
Dynamic bidding strategy in online advertising: A rollout-tracking bid optimization methodology
Ke Fang, Hao Liu, Chao Li, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103046-103046
Closed Access
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