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:

Coordination of distributed unmanned surface vehicles via model-based reinforcement learning methods
Runlong Miao, Lingxiao Wang, Shuo Pang
Applied Ocean Research (2022) Vol. 122, pp. 103106-103106
Closed Access | Times Cited: 25

Showing 25 citing articles:

Artificial intelligence algorithms in unmanned surface vessel task assignment and path planning: A survey
Kaizhou Gao, Minglong Gao, MengChu Zhou, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101505-101505
Closed Access | Times Cited: 18

Dynamic path planning for multi-USV in complex ocean environments with limited perception via proximal policy optimization
Xiaoqi Chen, Shihong Yin, Yujing Li, et al.
Ocean Engineering (2025) Vol. 326, pp. 120907-120907
Closed Access | Times Cited: 2

Multi-type task allocation for multiple heterogeneous unmanned surface vehicles (USVs) based on the self-organizing map
Guoge Tan, Jiayuan Zhuang, Jin Zou, et al.
Applied Ocean Research (2022) Vol. 126, pp. 103262-103262
Closed Access | Times Cited: 28

Exploring the performance impact of soft constraint integration on reinforcement learning-based autonomous vessel navigation: Experimental insights
Xin Jiang, Jiawen Li, Zhenkai Huang, et al.
International Journal of Naval Architecture and Ocean Engineering (2024) Vol. 16, pp. 100609-100609
Open Access | Times Cited: 4

ADP-based secure trajectory tracking for unmanned surface vehicles with false data injections
Yanwei Huang, Guan–Hua Lai
Ocean Engineering (2025) Vol. 328, pp. 121043-121043
Closed Access

A hybrid path planning strategy unified with COLREGS for the unmanned surface vehicle
Lili Wan, Jing Li, Mi Zhou
Ships and Offshore Structures (2025), pp. 1-15
Closed Access

Distributed deep reinforcement learning based on bi-objective framework for multi-robot formation
Jinming Li, Qingshan Liu, Guoyi Chi
Neural Networks (2023) Vol. 171, pp. 61-72
Closed Access | Times Cited: 9

Formation Control for UAV-USVs Heterogeneous System with Collision Avoidance Performance
Yuyang Huang, Wei Li, Jun Ning, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 12, pp. 2332-2332
Open Access | Times Cited: 7

Formation Control of a Multi-Unmanned Surface Vessel System: A Bibliometric Analysis
Jie Xue, Yuanming Song, Hao Hu
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 9, pp. 1484-1484
Open Access | Times Cited: 2

Path planning for Multi-USV target coverage in complex environments
Jing Luo, Yumin Su
Ocean Engineering (2024) Vol. 312, pp. 119090-119090
Closed Access | Times Cited: 2

A Formation Control and Obstacle Avoidance Method for Multiple Unmanned Surface Vehicles
Guanqun Liu, Naifeng Wen, Feifei Long, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 12, pp. 2346-2346
Open Access | Times Cited: 5

An Energy-Efficient T-Based Routing Topology for Target Tracking in Battery Operated Mobile Wireless Sensor Networks
Kalaivanan Karunanithy, Idayachandran Govindanarayanan, P. Vetrivelan, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2162-2162
Open Access | Times Cited: 4

Distributed safe formation maneuver control of Euler–Lagrange multi-agent systems in a partially unknown environment by safe reinforcement learning
Fatemeh Mahdavi Golmisheh, Saeed Shamaghdari
Robotics and Autonomous Systems (2023) Vol. 167, pp. 104486-104486
Closed Access | Times Cited: 4

Reinforcement learning in autonomous multi-vehicle systems: A structured review
Florian Merkle, Gregor Blossey, Stefan Haeussler, et al.
(2024), pp. 310-317
Open Access | Times Cited: 1

Reinforcement learning-based distributed cooperative sliding mode control for unmanned surface vehicles
Guangchen Zhang, Han Gao, Xiaofei Yang, et al.
Neural Computing and Applications (2024)
Closed Access | Times Cited: 1

Adaptive predefined-time specific performance control for underactuated multi-AUVs: An edge computing-based optimized RL method
Haitao Liu, Zhijian Feng, Xuehong Tian, et al.
Ocean Engineering (2024) Vol. 318, pp. 120048-120048
Closed Access | Times Cited: 1

Genetic Algorithm-Based Task Assignment for Fleet of Unmanned Surface Vehicles in Dynamically Changing Environment
Miroslav Dvořák, Petr Doležel, Dominik Štursa, et al.
Cybernetics & Systems (2023) Vol. 55, Iss. 6, pp. 1314-1331
Closed Access | Times Cited: 3

Algebraic-Connectivity-Based Multi-USV Distributed Formation Method via Adding a Reverse Edge
Jingchen Wang, Qihe Shan, Jun Zhu, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2942-2942
Open Access | Times Cited: 2

Adaptive Sampling Path Planning for a 3D Marine Observation Platform Based on Evolutionary Deep Reinforcement Learning
Jingjing Zhang, Yanlong Liu, Weidong Zhou
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 12, pp. 2313-2313
Open Access | Times Cited: 2

A Bio-Inspired Sliding Mode Method for Autonomous Cooperative Formation Control of Underactuated USVs with Ocean Environment Disturbances
Zaopeng Dong, Fei Tan, Min Yu, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 9, pp. 1607-1607
Open Access

Ship course-keeping in waves using sample-efficient reinforcement learning
Justin Greep, Afşin Baran Bayezit, Bart Mak, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109848-109848
Closed Access

Multi-USV cooperative target encirclement through learning-based distributed transferable policy and experimental validation
Chenming Zhang, Runqiang Zeng, Bin Lin, et al.
Ocean Engineering (2024) Vol. 318, pp. 120124-120124
Closed Access

Deep Reinforcement Learning Methods for USV Control: A Review
Zhuo Chen, Tao Bao, Bo Zhang, et al.
2021 China Automation Congress (CAC) (2023), pp. 1526-1531
Closed Access

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