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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-Target Pursuit by a Decentralized Heterogeneous UAV Swarm using Deep Multi-Agent Reinforcement Learning
Maryam Kouzeghar, Youngbin Song, Malika Meghjani, et al.
(2023), pp. 3289-3295
Open Access | Times Cited: 12

Showing 12 citing articles:

Autonomous Navigation for eVTOL: Review and Future Perspectives
Henglai Wei, Baichuan Lou, Zezhong Zhang, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 2, pp. 4145-4171
Closed Access | Times Cited: 7
Target Localization and Pursuit With Networked Robotic Vehicles: Theory, Simulation, and Experiments
Nguyen T. Hung, Eduardo Grala da Cunha, Fernando A. Branco, et al.
Journal of Field Robotics (2025)
Closed Access
Pursuit-evasion game with online planning using deep reinforcement learning
Yong Chen, Yu Shi, Xunhua Dai, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
A survey on autonomous environmental monitoring approaches: towards unifying active sensing and reinforcement learning
David Mansfield, Allahyar Montazeri
Frontiers in Robotics and AI (2024) Vol. 11
Open Access | Times Cited: 2
Adaptivity: a path towards general swarm intelligence?
Hian Lee Kwa, Jabez Leong Kit, Nikolaj Horsevad, et al.
Frontiers in Robotics and AI (2023) Vol. 10
Open Access | Times Cited: 5
DECISION-MAKING HETEROGENEOUS UAV SWARM SYSTEM WITH NEURAL NETWORK-ENHANCED REINFORCEMENT LEARNING
Yosyp Albrekht, Andrii Pysarenko
Вісник Херсонського національного технічного університету (2024), Iss. 4(87), pp. 217-222
Open Access | Times Cited: 1
Scalable and cohesive swarm control based on reinforcement learning
Marc-André Blais, Moulay A. Akhloufi
Cognitive Robotics (2024) Vol. 4, pp. 88-103
Open Access
Learning cooperative strategies in multi-agent encirclement games with faster prey using prior knowledge
Tongyue Li, Dianxi Shi, Zhen Wang, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 25, pp. 15829-15842
Closed Access
MADDPG-Based Distributed Cooperative Search Strategy for Heterogeneous Agents System
Ruizhe Wang, Yuanqing Xia, Yiran Wei, et al.
Lecture notes in electrical engineering (2024), pp. 292-305
Closed Access
AGCoTrack: A Communication-Efficient Independent Reinforcement Learning Method for Aerial–Ground Collaborative Tracking
Zhaotie Hao, Bin Guo, Kaixing Zhao, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 23, pp. 37758-37769
Closed Access
Curriculum Based Reinforcement Learning for Pursuit-Escape Game between Uavs in Unknown Environment
Bocheng Zhao, Yang Zhao, Shuanli Jia, et al.
(2024)
Closed Access
Multi-Agent Target Pursuit Using Perception Uncertainty-Aware Reinforcement Learning
Yuhan Cheng, Jirong Zha, R Yang, et al.
Proceedings of the 28th Annual International Conference on Mobile Computing And Networking (2024), pp. 1992-1997
Open Access
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