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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:

Searching and Tracking an Unknown Number of Targets: A Learning-Based Method Enhanced with Maps Merging
Yan Peng, Tao Jia, Chengchao Bai
Sensors (2021) Vol. 21, Iss. 4, pp. 1076-1076
Open Access | Times Cited: 11

Showing 11 citing articles:

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: 25
Increasing Operational Resiliency of UAV Swarms: An Agent-Focused Search and Rescue Framework
Abhishek Phadke, F. Antonio Medrano
Aerospace Research Communications (2024) Vol. 1
Open Access | Times Cited: 10
Computational Intelligence Algorithms for UAV Swarm Networking and Collaboration: A Comprehensive Survey and Future Directions
Pan Cao, Lei Lei, Shengsuo Cai, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 4, pp. 2684-2728
Closed Access | Times Cited: 8
Balancing Collective Exploration and Exploitation in Multi-Agent and Multi-Robot Systems: A Review
Hian Lee Kwa, Jabez Leong Kit, Roland Bouffanais
Frontiers in Robotics and AI (2022) Vol. 8
Open Access | Times Cited: 32
UniSaT: Unified-Objective Belief Model and Planner to Search for and Track Multiple Objects
Leonardo T. B. Santos, Brady Moon, Sebastian Scherer, et al.
AIAA SCITECH 2022 Forum (2025)
Open Access
Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance
R. Arranz, David Carramiñana, Gonzalo de Miguel, et al.
Sensors (2023) Vol. 23, Iss. 21, pp. 8766-8766
Open Access | Times Cited: 7
Multi-UAV Cooperative Searching and Tracking for Moving Targets Based on Multi-Agent Reinforcement Learning
Kai Su, Feng Qian
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11905-11905
Open Access | Times Cited: 6
Multi-Agent Cooperative Search and Target Tracking Based On Hierarchical Constrained Policy
Shiyu Zhang, Min Feng, Qi Zhang, et al.
(2024), pp. 149-156
Closed Access | Times Cited: 1
Online Unmanned Ground Vehicle Path Planning Based on Multi-Attribute Intelligent Reinforcement Learning for Mine Search and Rescue
Shanfan Zhang, Qingshuang Zeng
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 9127-9127
Open Access | Times Cited: 1
A Force Field Reinforcement Learning Approach for the Observation Problem
Jamy Chahal, Amal El Fallah Seghrouchni, Assia Belbachir
Studies in computational intelligence (2022), pp. 89-99
Closed Access | Times Cited: 1
Introduction to the Minitrack on Decolonizing Technology and Society
Jamy Chahal, Assia Belbachir, Amal El Fallah Seghrouchni
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2023)
Open Access
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