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:

Path Planning via an Improved DQN-Based Learning Policy
Liangheng Lv, Sunjie Zhang, Derui Ding, et al.
IEEE Access (2019) Vol. 7, pp. 67319-67330
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Joint Optimization of Multi-UAV Target Assignment and Path Planning Based on Multi-Agent Reinforcement Learning
Han Qie, Dianxi Shi, Tianlong Shen, et al.
IEEE Access (2019) Vol. 7, pp. 146264-146272
Open Access | Times Cited: 239

Reinforcement learning in robotic applications: a comprehensive survey
Bharat Singh, Rajesh Kumar, V. P. Singh
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 945-990
Closed Access | Times Cited: 167

Autonomous port management based AGV path planning and optimization via an ensemble reinforcement learning framework
Xinqiang Chen, Shuhao Liu, Jiansen Zhao, et al.
Ocean & Coastal Management (2024) Vol. 251, pp. 107087-107087
Closed Access | Times Cited: 58

Latency and Energy Optimization for MEC Enhanced SAT-IoT Networks
Gaofeng Cui, Xiaoyao Li, Lexi Xu, et al.
IEEE Access (2020) Vol. 8, pp. 55915-55926
Open Access | Times Cited: 124

Motion Planning of Robot Manipulators for a Smoother Path Using a Twin Delayed Deep Deterministic Policy Gradient with Hindsight Experience Replay
MyeongSeop Kim, Dong-Ki Han, Jae‐Han Park, et al.
Applied Sciences (2020) Vol. 10, Iss. 2, pp. 575-575
Open Access | Times Cited: 89

Review of Deep Reinforcement Learning-Based Object Grasping: Techniques, Open Challenges, and Recommendations
Marwan Qaid Mohammed, Lee Chung Kwek, Shing Chyi Chua
IEEE Access (2020) Vol. 8, pp. 178450-178481
Open Access | Times Cited: 81

An Effective Dynamic Path Planning Approach for Mobile Robots Based on Ant Colony Fusion Dynamic Windows
Liwei Yang, Fu Lixia, Ping Li, et al.
Machines (2022) Vol. 10, Iss. 1, pp. 50-50
Open Access | Times Cited: 48

A Review of Deep Reinforcement Learning Approaches for Smart Manufacturing in Industry 4.0 and 5.0 Framework
Alejandro J. del Real, Doru Stefan Andreiana, Álvaro Ojeda Roldán, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12377-12377
Open Access | Times Cited: 38

A novel reinforcement learning-based multi-operator differential evolution with cubic spline for the path planning problem
Mohamed Reda, Ahmed Onsy, Amira Y. Haikal, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access | Times Cited: 1

A Multiagent Deep Reinforcement Learning Approach for Path Planning in Autonomous Surface Vehicles: The Ypacaraí Lake Patrolling Case
Samuel Yanes Luis, Daniel Gutiérrez Reina, S. L. Toral
IEEE Access (2021) Vol. 9, pp. 17084-17099
Open Access | Times Cited: 55

A survey of guidance, navigation, and control systems for autonomous multi-rotor small unmanned aerial systems
Julius A. Marshall, Wei Sun, Andrea L’Afflitto
Annual Reviews in Control (2021) Vol. 52, pp. 390-427
Open Access | Times Cited: 45

The Experience-Memory Q-Learning Algorithm for Robot Path Planning in Unknown Environment
Meng Zhao, Hui Lu, Siyi Yang, et al.
IEEE Access (2020) Vol. 8, pp. 47824-47844
Open Access | Times Cited: 49

A Deep Reinforcement Learning Approach for the Patrolling Problem of Water Resources Through Autonomous Surface Vehicles: The Ypacarai Lake Case
Samuel Yanes Luis, Daniel Gutiérrez Reina, S. L. Toral
IEEE Access (2020) Vol. 8, pp. 204076-204093
Open Access | Times Cited: 42

A survey for deep reinforcement learning in markovian cyber–physical systems: Common problems and solutions
Timothy Rupprecht, Yanzhi Wang
Neural Networks (2022) Vol. 153, pp. 13-36
Open Access | Times Cited: 27

Renewable Energy Maximization for Pelagic Islands Network of Microgrids Through Battery Swapping Using Deep Reinforcement Learning
Muhammad Amin, Ahmad Suleman, Muhammad Waseem, et al.
IEEE Access (2023) Vol. 11, pp. 86196-86213
Open Access | Times Cited: 14

Drone Swarm Coordination Using Reinforcement Learning for Efficient Wildfires Fighting
Marc-André Blais, Moulay A. Akhloufi
SN Computer Science (2024) Vol. 5, Iss. 3
Closed Access | Times Cited: 5

A Fault-Tolerant Multi-Agent Reinforcement Learning Framework for Unmanned Aerial Vehicles–Unmanned Ground Vehicle Coverage Path Planning
Mahya Ramezani, M. A. Amiri Atashgah, Alireza Rezaee
Drones (2024) Vol. 8, Iss. 10, pp. 537-537
Open Access | Times Cited: 5

A 3-D Multi-Object Path Planning Method for Electric Vehicle Considering the Energy Consumption and Distance
Guoming Huang, Xiaofang Yuan, Ke Shi, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 7, pp. 7508-7520
Closed Access | Times Cited: 30

Vision Based Drone Obstacle Avoidance by Deep Reinforcement Learning
Zhihan Xue, Tad Gonsalves
AI (2021) Vol. 2, Iss. 3, pp. 366-380
Open Access | Times Cited: 28

Path Planning in Localization Uncertaining Environment Based on Dijkstra Method
Can Wang, Chensheng Cheng, Dianyu Yang, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 20

Obstacle avoidance and collision avoidance of UAV swarm based on improved VFH algorithm and information sharing strategy
Xiaowei Fu, ChenYuan Zhi, Di Wu
Computers & Industrial Engineering (2023) Vol. 186, pp. 109761-109761
Closed Access | Times Cited: 11

Algorithmic progress in temperature monitoring of overhead network connectors: Fusion of deep learning models
Zhiheng Zhang, Lei Song, He Zhu, et al.
Journal of Computational Methods in Sciences and Engineering (2025)
Closed Access

Robot Dynamic Path Planning Based on Prioritized Experience Replay and LSTM Network
H Li, Peisi Zhong, Li Ping, et al.
IEEE Access (2025) Vol. 13, pp. 22283-22299
Open Access

Energy trading optimisation of microgrids considering degradation: a self-attention-based deep reinforcement learning method
Bin Xu, Zhichao Zhuang, Honggen Bian, et al.
International Journal of Control (2025), pp. 1-12
Closed Access

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