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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:

Joint Optimization of Multi-UAV Target Assignment and Path Planning Based on Multi-Agent Reinforcement Learning
Han Qie, Dianxi Shi, Tianlong Shen, et al.
IEEE Access (2019) Vol. 7, pp. 146264-146272
Open Access | Times Cited: 239

Showing 1-25 of 239 citing articles:

Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kaiqing Zhang, Zhuoran Yang, Tamer Başar
Studies in systems, decision and control (2021), pp. 321-384
Closed Access | Times Cited: 719
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani, Ekram Hossain
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 2, pp. 1226-1252
Open Access | Times Cited: 231
Multi-Agent Reinforcement Learning: A Review of Challenges and Applications
Lorenzo Canese, G.C. Cardarilli, Luca Di Nunzio, et al.
Applied Sciences (2021) Vol. 11, Iss. 11, pp. 4948-4948
Open Access | Times Cited: 187
Multi-Agent DRL for Task Offloading and Resource Allocation in Multi-UAV Enabled IoT Edge Network
Abegaz Mohammed Seid, Gordon Owusu Boateng, Bruce Mareri, et al.
IEEE Transactions on Network and Service Management (2021) Vol. 18, Iss. 4, pp. 4531-4547
Closed Access | Times Cited: 163
Trajectory planning for multi-robot systems: Methods and applications
Ángel Madridano, Abdulla Al-Kaff, David Martín, et al.
Expert Systems with Applications (2021) Vol. 173, pp. 114660-114660
Closed Access | Times Cited: 160
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning
Zhenning Li, Hao Yu, Guohui Zhang, et al.
Transportation Research Part C Emerging Technologies (2021) Vol. 125, pp. 103059-103059
Open Access | Times Cited: 111
UAV Formation Trajectory Planning Algorithms: A Review
Yunhong Yang, Xingzhong Xiong, Yuehao Yan
Drones (2023) Vol. 7, Iss. 1, pp. 62-62
Open Access | Times Cited: 68
Deep reinforcement learning-based air combat maneuver decision-making: literature review, implementation tutorial and future direction
Xinwei Wang, Yihui Wang, Xichao Su, et al.
Artificial Intelligence Review (2023) Vol. 57, Iss. 1
Closed Access | Times Cited: 50
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
Collaborative path planning of multi-unmanned surface vehicles via multi-stage constrained multi-objective optimization
Shihong Yin, Ningjun Xu, Zhangsong Shi, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103115-103115
Closed Access | Times Cited: 5
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
Songyuan Zhang, Oswin So, Kunal Garg, et al.
IEEE Transactions on Robotics (2025) Vol. 41, pp. 1533-1552
Open Access | Times Cited: 2
Improving multi-target cooperative tracking guidance for UAV swarms using multi-agent reinforcement learning
Wenhong Zhou, Jie Li, Zhihong Liu, et al.
Chinese Journal of Aeronautics (2021) Vol. 35, Iss. 7, pp. 100-112
Open Access | Times Cited: 66
Multi-objective particle swarm optimization with multi-mode collaboration based on reinforcement learning for path planning of unmanned air vehicles
Xiangyin Zhang, Shuang Xia, Xiuzhi Li, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 109075-109075
Closed Access | Times Cited: 65
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: 63
Topology control algorithms in multi-unmanned aerial vehicle networks: An extensive survey
Muhammad Morshed Alam, Muhammad Yeasir Arafat, Sangman Moh, et al.
Journal of Network and Computer Applications (2022) Vol. 207, pp. 103495-103495
Closed Access | Times Cited: 61
Distributed edge-based event-triggered coordination control for multi-agent systems
Hongbo Zhao, Xiangyu Meng, Sentang Wu
Automatica (2021) Vol. 132, pp. 109797-109797
Closed Access | Times Cited: 58
Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning
Wenhong Zhou, Zhihong Liu, Jie Li, et al.
Neurocomputing (2021) Vol. 466, pp. 285-297
Closed Access | Times Cited: 56
A survey on the application of path-planning algorithms for multi-rotor UAVs in precision agriculture
Amin Basiri, Valerio Mariani, Giuseppe Silano, et al.
Journal of Navigation (2022) Vol. 75, Iss. 2, pp. 364-383
Closed Access | Times Cited: 54
Helicopter–UAVs search and rescue task allocation considering UAVs operating environment and performance
Ming Zhang, Wei Li, Mengmeng Wang, et al.
Computers & Industrial Engineering (2022) Vol. 167, pp. 107994-107994
Closed Access | Times Cited: 40
Bayesian Optimization Enhanced Deep Reinforcement Learning for Trajectory Planning and Network Formation in Multi-UAV Networks
Shimin Gong, Meng Wang, Bo Gu, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 72, Iss. 8, pp. 10933-10948
Open Access | Times Cited: 34
PRD-MADDPG: An efficient learning-based algorithm for orbital pursuit-evasion game with impulsive maneuvers
Liran Zhao, Yulin Zhang, Zhaohui Dang
Advances in Space Research (2023) Vol. 72, Iss. 2, pp. 211-230
Closed Access | Times Cited: 32
Scalable and Cooperative Deep Reinforcement Learning Approaches for Multi-UAV Systems: A Systematic Review
Francesco Frattolillo, Damiano Brunori, Luca Iocchi
Drones (2023) Vol. 7, Iss. 4, pp. 236-236
Open Access | Times Cited: 27
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
Yahao Ding, Zhaohui Yang, Quoc‐Viet Pham, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 7447-7473
Open Access | Times Cited: 26
Multi-Objective Deployment Optimization of UAVs for Energy-Efficient Wireless Coverage
Xiumin Zhu, Linbo Zhai, Nianxin Li, et al.
IEEE Transactions on Communications (2024) Vol. 72, Iss. 6, pp. 3587-3601
Closed Access | Times Cited: 14
Novel task decomposed multi-agent twin delayed deep deterministic policy gradient algorithm for multi-UAV autonomous path planning
Yatong Zhou, Xiaoran Kong, Kuo-Ping Lin, et al.
Knowledge-Based Systems (2024) Vol. 287, pp. 111462-111462
Closed Access | Times Cited: 14
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