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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:

Enhancing Multi-UAV Reconnaissance and Search Through Double Critic DDPG With Belief Probability Maps
Boquan Zhang, Xiang Lin, Yifan Zhu, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 2, pp. 3827-3842
Closed Access | Times Cited: 11

Showing 11 citing articles:

Large-volume LEO satellite imaging data networked transmission scheduling problem: Model and algorithm
Xiang Lin, Yuning Chen, Junhua Xue, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123649-123649
Closed Access | Times Cited: 6
Learning continuous multi-UAV controls with directed explorations for flood area coverage
Armaan Garg, Shashi Shekhar Jha
Robotics and Autonomous Systems (2024) Vol. 180, pp. 104774-104774
Closed Access | Times Cited: 2
Multiple Unmanned Aerial Vehicle (multi-UAV) Reconnaissance and Search with Limited Communication Range Using Semantic Episodic Memory in Reinforcement Learning
Boquan Zhang, Tao Wang, Mingxuan Li, et al.
Drones (2024) Vol. 8, Iss. 8, pp. 393-393
Open Access | Times Cited: 1
Deep Reinforcement Learning-based Collaborative Multi-UAV Coverage Path Planning
Boquan Zhang, Jing Tian, Xiang Lin, et al.
Journal of Physics Conference Series (2024) Vol. 2833, Iss. 1, pp. 012017-012017
Open Access | Times Cited: 1
Table of Contents

IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 2, pp. C1-3091
Open Access
Reinforcement-Learning-Based Multi-UAV Cooperative Search for Moving Targets in 3D Scenarios
Yifei Liu, Xiaoshuai Li, Jian Wang, et al.
Drones (2024) Vol. 8, Iss. 8, pp. 378-378
Open Access
MMHCA: Multi-feature representations based on multi-scale hierarchical contextual aggregation for UAV-view geo-localization
Nanhua CHEN, Taishan Lou, Liangyu ZHAO
Chinese Journal of Aeronautics (2024)
Open Access
A Long-Term Target Search Method for Unmanned Aerial Vehicles Based on Reinforcement Learning
Dexing Wei, Lun Zhang, Mei Yang, et al.
Drones (2024) Vol. 8, Iss. 10, pp. 536-536
Open Access
Multi-UAV Escape Target Search: A Multi-Agent Reinforcement Learning Method
Guang Lan Liao, Jian Wang, Dujia Yang, et al.
Sensors (2024) Vol. 24, Iss. 21, pp. 6859-6859
Open Access
A Multi-Agent Deep Reinforcement Learning Approach for Multi-UAV Cooperative Search in Multi-layered Aerial Computing Networks
Jiaqi Wu, Jingjing Luo, Changkun Jiang, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 5807-5821
Closed Access
Target Search and Tracking in an Unknown Environment by a Fleet of UAVs using a Set-Membership Approach
Maxime Zagar, Luc Meyer, Michel Kieffer, et al.
(2024), pp. 5094-5101
Closed Access
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