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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:

A path planning approach for unmanned surface vehicles based on dynamic and fast Q-learning
Bing Hao, He Du, Zheping Yan
Ocean Engineering (2023) Vol. 270, pp. 113632-113632
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Hybrid path planning method for USV using bidirectional A* and improved DWA considering the manoeuvrability and COLREGs
Donghao Xu, Jie Yang, Xueqian Zhou, et al.
Ocean Engineering (2024) Vol. 298, pp. 117210-117210
Open Access | Times Cited: 17
Dynamic path planning via Dueling Double Deep Q-Network (D3QN) with prioritized experience replay
Mehmet GÖK
Applied Soft Computing (2024) Vol. 158, pp. 111503-111503
Closed Access | Times Cited: 17
APPA-3D: an autonomous 3D path planning algorithm for UAVs in unknown complex environments
Jintao Wang, Zuyi Zhao, Jiayi Qu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
A New Autonomous Method of Drone Path Planning Based on Multiple Strategies for Avoiding Obstacles with High Speed and High Density
Tongyao Yang, Fengbao Yang, Dingzhu Li
Drones (2024) Vol. 8, Iss. 5, pp. 205-205
Open Access | Times Cited: 5
Multi-target dynamic allocation and adaptive path planning for unmanned surface vehicles under marine surface with water flows
Zhijian Gou, Xiaozhao Jin, Bernt J. Leira, et al.
Ocean Engineering (2025) Vol. 320, pp. 120330-120330
Closed Access
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
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
Optimal Path Planning Method for Unmanned Surface Vehicles Based on Improved Shark-Inspired Algorithm
Jingrun Liang, Lisang Liu
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 7, pp. 1386-1386
Open Access | Times Cited: 14
Data harvesting in uncharted waters: Interactive learning empowered path planning for USV-assisted maritime data collection under fully unknown environments
Liang Zhao, Yong Bai
Ocean Engineering (2023) Vol. 287, pp. 115781-115781
Closed Access | Times Cited: 14
Expected-mean gamma-incremental reinforcement learning algorithm for robot path planning
Chee Sheng Tan, Rosmiwati Mohd‐Mokhtar, Mohd Rizal Arshad
Expert Systems with Applications (2024) Vol. 249, pp. 123539-123539
Closed Access | Times Cited: 4
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
Path planning for unmanned surface vehicle based on improved Q-Learning algorithm
Yuanhui Wang, Changzhou Lu, Peng Wu, et al.
Ocean Engineering (2023) Vol. 292, pp. 116510-116510
Closed Access | Times Cited: 11
Optimized-Weighted-Speedy Q-Learning Algorithm for Multi-UGV in Static Environment Path Planning under Anti-Collision Cooperation Mechanism
Yuanying Cao, Xi Fang
Mathematics (2023) Vol. 11, Iss. 11, pp. 2476-2476
Open Access | Times Cited: 7
Complex Environment Based on Improved A* Algorithm Research on Path Planning of Inspection Robots
Yilin Zhang, Qiang Zhao
Processes (2024) Vol. 12, Iss. 5, pp. 855-855
Open Access | Times Cited: 2
DEMRL: Dynamic estimation meta reinforcement learning for path following on unseen unmanned surface vehicle
Kefan Jin, Hao Zhu, Rui Gao, et al.
Ocean Engineering (2023) Vol. 288, pp. 115958-115958
Closed Access | Times Cited: 5
Multiple targets traversing for unmanned surface vehicles by bundled genetic optimization and fast-marching Q-Learning
Zhijian Gou, Xiaozhao Jin, Jin He, et al.
Ocean Engineering (2024) Vol. 302, pp. 117632-117632
Closed Access | Times Cited: 1
Robust Strategy Generation for Automatic Navigation of Unmanned Surface Vehicles through Improved DDPG Algorithm
Wei Wang, Subin Huang, Huabin Diao
Journal of Robotics (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Research on obstacle avoidance optimization and path planning of autonomous vehicles based on attention mechanism combined with multimodal information decision-making thoughts of robots
Xuejin Wu, Guangming Wang, Nachuan Shen
Frontiers in Neurorobotics (2023) Vol. 17
Open Access | Times Cited: 4
A Survey on Path Planning for Mobile Robot Systems
Hejia Gao, Dongliang Liu, Juqi Hu
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2023)
Closed Access | Times Cited: 2
Deployment of Remote Sensing Technologies for Effective Traffic Monitoring
Tingting Chen, Jingwen Qi, Min Xu, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4674-4674
Open Access | Times Cited: 2
The Path Planning Research for Mobile Robot Based on Reinforcement Learning Particle Swarm Algorithm
Yang Yang, Linhao Zhang, Haodong Guo
(2024), pp. 1577-1580
Closed Access
The whole process route planning algorithm based on AIS spatio-temporal big data analysis
Sha Hongjie, Han Zhen, Zhu Li’an
Ships and Offshore Structures (2024), pp. 1-15
Closed Access
Cross-regional path planning based on improved Q-learning with dynamic exploration factor and heuristic reward value
Ying Zhong, Yanhong Wang
Expert Systems with Applications (2024), pp. 125388-125388
Closed Access
Evolution of Unmanned Surface Vehicle Path Planning: A Comprehensive Review of Basic, Responsive, and Advanced Strategic Pathfinders
Yijie Chu, Qizhong Gao, Yong Yue, et al.
Drones (2024) Vol. 8, Iss. 10, pp. 540-540
Open Access
DWAS-RL: A safety-efficiency balanced reinforcement learning approach for path planning of Unmanned Surface Vehicles in complex marine environments
Tianci Qu, Gang Xiong, Hub Ali, et al.
Ocean Engineering (2024) Vol. 317, pp. 119641-119641
Closed Access
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