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:

Adaptive Formation Motion Planning and Control of Autonomous Underwater Vehicles Using Deep Reinforcement Learning
Behnaz Hadi, Alireza Khosravi, Pouria Sarhadi
IEEE Journal of Oceanic Engineering (2024) Vol. 49, Iss. 1, pp. 311-328
Closed Access | Times Cited: 14

Showing 14 citing articles:

Cooperative motion planning and control of a group of autonomous underwater vehicles using twin-delayed deep deterministic policy gradient
Behnaz Hadi, Alireza Khosravi, Pouria Sarhadi
Applied Ocean Research (2024) Vol. 147, pp. 103977-103977
Closed Access | Times Cited: 7

Distributed TMPC formation trajectory tracking of multi-UUV with time-varying communication delay
Zheping Yan, Jinyu Yan, Fangbo Nan, et al.
Ocean Engineering (2024) Vol. 297, pp. 117091-117091
Closed Access | Times Cited: 5

Reinforcement learning based robot navigation using illegal actions for autonomous docking of surface vehicles in unknown environments
Maria Inês Pereira, Andry Maykol Pinto
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108506-108506
Open Access | Times Cited: 2

Autonomous Underwater Vehicle Path Planning Based on Improved Salp Swarm Algorithm
Xuan Guo, Dongming Zhao, Tingting Fan, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1446-1446
Open Access | Times Cited: 2

Binocular Vision-Based Motion Planning of An AUV: A Deep Reinforcement Learning Approach
Jing Yan, K.-J. You, Wenqiang Cao, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 8, pp. 5299-5315
Closed Access | Times Cited: 5

Intelligent Vehicle Path Planning Based on Optimized A* Algorithm
Liang Chu, Yilin Wang, Shibo Li, et al.
Sensors (2024) Vol. 24, Iss. 10, pp. 3149-3149
Open Access | Times Cited: 1

Model Free Deep Deterministic Policy Gradient Controller for Setpoint Tracking of Non-Minimum Phase Systems
Fatemeh Tavakkoli, Pouria Sarhadi, Benoı̂t Clément, et al.
(2024), pp. 1-6
Open Access | Times Cited: 1

Using Hill Climb Assembler Encoding neural networks to control follower vehicles in an underwater swarm
Tomasz Praczyk
Applied Soft Computing (2024) Vol. 160, pp. 111647-111647
Closed Access

А comprehensive approach to managing robot group formation
Ihor Binko, Volodymyr Shevel, Dmytro Krytskyi
Innovative technologies and scientific solutions for industries (2024), Iss. 2(28), pp. 17-32
Open Access

Hybrid Motion Planning and Formation Control of Multi-AUV Systems Based on DRL
Behnaz Hadi, Alireza Khosravi, Pouria Sarhadi
2022 American Control Conference (ACC) (2024), pp. 2368-2373
Closed Access

Adaptive energy-efficient reinforcement learning for AUV 3D motion planning in complex underwater environments
Jiayi Wen, Anqing Wang, Jingwei Zhu, et al.
Ocean Engineering (2024) Vol. 312, pp. 119111-119111
Closed Access

Learning-based Integrated Cooperative Motion Planning and Control of Multi-AUVs
Behnaz Hadi, Alireza Khosravi, Pouria Sarhadi, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 20, pp. 287-292
Open Access

AUV path planning based on improved IFDS and deep reinforcement learning
Fan Yiqun, Hongna Li, Jiaqi Xie, et al.
International Journal of Advanced Robotic Systems (2024) Vol. 21, Iss. 6
Open Access

Guest Editorial: Introduction to the Special Issue on Advanced Machine Learning Methodologies for Underwater Image and Video Processing and Analysis
Chongyi Li, Haiyong Zheng, Runmin Cong, et al.
IEEE Journal of Oceanic Engineering (2024) Vol. 49, Iss. 1, pp. 224-225
Open Access

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