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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:

Local Path Planning for Unmanned Surface Vehicle Collision Avoidance Based on Modified Quantum Particle Swarm Optimization
Guoqing Xia, Zhiwei Han, Bo Zhao, et al.
Complexity (2020) Vol. 2020, pp. 1-15
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

A path planning strategy unified with a COLREGS collision avoidance function based on deep reinforcement learning and artificial potential field
Lingyu Li, Defeng Wu, Youqiang Huang, et al.
Applied Ocean Research (2021) Vol. 113, pp. 102759-102759
Open Access | Times Cited: 203
A review of path planning algorithms in maritime autonomous surface ships: Navigation safety perspective
Ülkü Öztürk, Melih Akdağ, Tarık Ayabakan
Ocean Engineering (2022) Vol. 251, pp. 111010-111010
Closed Access | Times Cited: 126
A dynamically hybrid path planning for unmanned surface vehicles based on non-uniform Theta* and improved dynamic windows approach
Sen Han, Lei Wang, Yi‐Ting Wang, et al.
Ocean Engineering (2022) Vol. 257, pp. 111655-111655
Closed Access | Times Cited: 54
Deep reinforcement learning with dynamic window approach based collision avoidance path planning for maritime autonomous surface ships
Chuanbo Wu, Wangneng Yu, Guangze Li, et al.
Ocean Engineering (2023) Vol. 284, pp. 115208-115208
Closed Access | Times Cited: 28
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: 14
Route Planning Algorithms for Unmanned Surface Vehicles (USVs): A Comprehensive Analysis
Shimhanda Daniel Hashali, Shaolong Yang, Xianbo Xiang
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 3, pp. 382-382
Open Access | Times Cited: 8
Automatic berthing for an underactuated unmanned surface vehicle: A real-time motion planning approach
Sen Han, Yi‐Ting Wang, Lei Wang, et al.
Ocean Engineering (2021) Vol. 235, pp. 109352-109352
Closed Access | Times Cited: 48
Chaos Particle Swarm Optimization Enhancement Algorithm for UAV Safe Path Planning
Hongyue Chu, Junkai Yi, Fei Yang
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 8977-8977
Open Access | Times Cited: 31
Global-local hierarchical path planning scheme for unmanned surface vehicles under dynamically unforeseen environments
Liang Zhao, Yong Bai, Jeom Kee Paik
Ocean Engineering (2023) Vol. 280, pp. 114750-114750
Open Access | Times Cited: 20
USV path planning algorithm based on plant growth
Xiangen Bai, Bohan Li, Xiaofeng Xu, et al.
Ocean Engineering (2023) Vol. 273, pp. 113965-113965
Closed Access | Times Cited: 18
Achieving optimal-dynamic path planning for unmanned surface vehicles: A rational multi-objective approach and a sensory-vector re-planner
Liang Zhao, Yong Bai, Jeom Kee Paik
Ocean Engineering (2023) Vol. 286, pp. 115433-115433
Open Access | Times Cited: 16
Exploring the application of ant colony optimization in path planning for Unmanned Surface Vehicles
Han Yann Heng, Mohamad Hazwan Mohd Ghazali, Wan Rahiman
Ocean Engineering (2024) Vol. 311, pp. 118738-118738
Closed Access | Times Cited: 6
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: 24
A constrained locking sweeping method and velocity obstacle based path planning algorithm for unmanned surface vehicles in complex maritime traffic scenarios
Yumin Su, Jing Luo, Jiayuan Zhuang, et al.
Ocean Engineering (2023) Vol. 279, pp. 113538-113538
Closed Access | Times Cited: 13
Dynamic collision avoidance for maritime autonomous surface ships based on deep Q-network with velocity obstacle method
Yuqin Li, Defeng Wu, Hongdong Wang, et al.
Ocean Engineering (2025) Vol. 320, pp. 120335-120335
Closed Access
The Concept of Quantum Teleportation for Remote Control of a Car-like Mobile Robot
Joslin Numbi, Nadjet Zioui, Mohamed Tadjine
Robotics (2025) Vol. 14, Iss. 3, pp. 25-25
Open Access
Intelligent decision and planning for unmanned surface vehicle: A review of machine learning techniques
Z. A. Liu, Qin Zhang, Xianbo Xiang, et al.
Ocean Engineering (2025) Vol. 327, pp. 120968-120968
Closed Access
Collision avoidance control for unmanned surface vehicle with COLREGs compliance
Xiaojie Sun, Guofeng Wang, Yunsheng Fan, et al.
Ocean Engineering (2022) Vol. 267, pp. 113263-113263
Closed Access | Times Cited: 16
Dynamic optimization based on quantum computation-A comprehensive review
Haijiang Kou, Yaowen Zhang, Heow Pueh Lee
Computers & Structures (2023) Vol. 292, pp. 107255-107255
Closed Access | Times Cited: 10
Resilience measurement and dynamic optimization of container logistics supply chain under adverse events
Bowei Xu, Weiting Liu, Junjun Li, et al.
Computers & Industrial Engineering (2023) Vol. 180, pp. 109202-109202
Closed Access | Times Cited: 9
Optimal path planning for a ship in coastal waters with deep Q network
Hyeong-Tak Lee, Min-Kyu Kim
Ocean Engineering (2024) Vol. 307, pp. 118193-118193
Closed Access | Times Cited: 3
A Swarm Intelligence Graph-Based Pathfinding Algorithm Based on Fuzzy Logic (SIGPAF): A Case Study on Unmanned Surface Vehicle Multi-Objective Path Planning
Charis Ntakolia, Dimitrios V. Lyridis
Journal of Marine Science and Engineering (2021) Vol. 9, Iss. 11, pp. 1243-1243
Open Access | Times Cited: 22
Particle swarm optimization with orientation angle-based grouping for practical unmanned surface vehicle path planning
Jiabao Zhong, Boyang Li, Shixin Li, et al.
Applied Ocean Research (2021) Vol. 111, pp. 102658-102658
Closed Access | Times Cited: 21
An Improved Dynamic Window Approach Based on Reinforcement Learning for the Trajectory Planning of Automated Guided Vehicles
Da Ming Jiang, Ling Du, Shuhui Li, et al.
IEEE Access (2024) Vol. 12, pp. 36016-36025
Open Access | Times Cited: 2
A Novel Particle Swarm Optimization Algorithm Based on Reinforcement Learning Mechanism for AUV Path Planning
Haoqian Huang, Chao Jin
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 17
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