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 novel hybrid particle swarm optimization for multi-UAV cooperate path planning
Wenjian He, Xiaogang Qi, Lifang Liu
Applied Intelligence (2021) Vol. 51, Iss. 10, pp. 7350-7364
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

A review of artificial intelligence applied to path planning in UAV swarms
Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 153-170
Closed Access | Times Cited: 122

Review of Autonomous Path Planning Algorithms for Mobile Robots
Hongwei Qin, Shiliang Shao, Ting Wang, et al.
Drones (2023) Vol. 7, Iss. 3, pp. 211-211
Open Access | Times Cited: 117

A Review of Path-Planning Approaches for Multiple Mobile Robots
Shiwei Lin, Ang Liu, Jianguo Wang, et al.
Machines (2022) Vol. 10, Iss. 9, pp. 773-773
Open Access | Times Cited: 82

UAV Formation Trajectory Planning Algorithms: A Review
Yunhong Yang, Xingzhong Xiong, Yuehao Yan
Drones (2023) Vol. 7, Iss. 1, pp. 62-62
Open Access | Times Cited: 63

A Review on Viewpoints and Path Planning for UAV-Based 3-D Reconstruction
Mehdi Maboudi, MohammadReza Homaei, Soohwan Song, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 5026-5048
Open Access | Times Cited: 57

Reinforcement learning-based multi-strategy cuckoo search algorithm for 3D UAV path planning
Xiaobing Yu, Wenguan Luo
Expert Systems with Applications (2023) Vol. 223, pp. 119910-119910
Closed Access | Times Cited: 52

A novel reinforcement learning based tuna swarm optimization algorithm for autonomous underwater vehicle path planning
Zheping Yan, Jinyu Yan, Yifan Wu, et al.
Mathematics and Computers in Simulation (2023) Vol. 209, pp. 55-86
Closed Access | Times Cited: 42

Drone Swarms as Networked Control Systems by Integration of Networking and Computing
Godwin Asaamoning, Paulo Mendes, Dênis Rosário, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2642-2642
Open Access | Times Cited: 55

UAV Path Planning Algorithm Based on Improved Harris Hawks Optimization
Ran Zhang, Sen Li, Yuanming Ding, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5232-5232
Open Access | Times Cited: 40

A parallel particle swarm optimization and enhanced sparrow search algorithm for unmanned aerial vehicle path planning
Ziwei Wang, Guangkai Sun, Kangpeng Zhou, et al.
Heliyon (2023) Vol. 9, Iss. 4, pp. e14784-e14784
Open Access | Times Cited: 27

A multi-strategy particle swarm algorithm with exponential noise and fitness-distance balance method for low-altitude penetration in secure space
Donglin Zhu, Siwei Wang, Jiaying Shen, et al.
Journal of Computational Science (2023) Vol. 74, pp. 102149-102149
Closed Access | Times Cited: 23

Computational Intelligence Algorithms for UAV Swarm Networking and Collaboration: A Comprehensive Survey and Future Directions
Pan Cao, Lei Lei, Shengsuo Cai, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 4, pp. 2684-2728
Closed Access | Times Cited: 8

PPSwarm: Multi-UAV Path Planning Based on Hybrid PSO in Complex Scenarios
Qicheng Meng, Kai Chen, Qingjun Qu
Drones (2024) Vol. 8, Iss. 5, pp. 192-192
Open Access | Times Cited: 8

UAV swarm path planning with reinforcement learning for field prospecting
Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, et al.
Applied Intelligence (2022) Vol. 52, Iss. 12, pp. 14101-14118
Open Access | Times Cited: 34

Q-Learning based system for Path Planning with Unmanned Aerial Vehicles swarms in obstacle environments
Alejandro Puente-Castro, Daniel Rivero, Eurico Pedrosa, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121240-121240
Open Access | Times Cited: 20

A novel multi-objective evolutionary algorithm with a two-fold constraint-handling mechanism for multiple UAV path planning
Wen-Hui Zhang, Chaoda Peng, Yuan Yuan, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121862-121862
Closed Access | Times Cited: 18

A novel hybrid Coyote–Particle Swarm Optimization Algorithm for three-dimensional constrained trajectory planning of Unmanned Aerial Vehicle
Himanshu Gupta, Om Prakash Verma
Applied Soft Computing (2023) Vol. 147, pp. 110776-110776
Closed Access | Times Cited: 17

Particle Swarm Optimization Algorithm Using Velocity Pausing and Adaptive Strategy
Kezong Tang, Chengjian Meng
Symmetry (2024) Vol. 16, Iss. 6, pp. 661-661
Open Access | Times Cited: 5

A multi- unmanned aerial vehicle dynamic task assignment method based on bionic algorithms
Jiaqi Shi, Li Tan, Xiaofeng Lian, et al.
Computers & Electrical Engineering (2022) Vol. 99, pp. 107820-107820
Closed Access | Times Cited: 24

UAV Swarm Cooperative Dynamic Target Search: A MAPPO-Based Discrete Optimal Control Method
Dexing Wei, Lun Zhang, Quan Liu, et al.
Drones (2024) Vol. 8, Iss. 6, pp. 214-214
Open Access | Times Cited: 4

Synergistic UAV Motion: A Comprehensive Review on Advancing Multi-Agent Coordination
Ghulam E Mustafa Abro, Zain Anwar Ali, Rana Javed Masood
(2024) Vol. 1, Iss. 2, pp. 72-88
Closed Access | Times Cited: 4

Autonomous navigation of UAV in complex environment : a deep reinforcement learning method based on temporal attention
Shuyuan Liu, Shufan Zou, Xinghua Chang, et al.
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access

紫外光协作无人机的改进粒子群突防路径规划
赵太飞 Zhao Taifei, 杜浩辰 Du Haochen, 陈郁琪 Chen Yuqi, et al.
Laser & Optoelectronics Progress (2025) Vol. 62, Iss. 3, pp. 0306001-0306001
Closed Access

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