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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:

An Informative Path Planner for a Swarm of ASVs Based on an Enhanced PSO with Gaussian Surrogate Model Components Intended for Water Monitoring Applications
Micaela Jara Ten Kathen, Isabel Jurado Flores, Daniel Gutiérrez Reina
Electronics (2021) Vol. 10, Iss. 13, pp. 1605-1605
Open Access | Times Cited: 20

Showing 20 citing articles:

Modified adaptive ant colony optimization algorithm and its application for solving path planning of mobile robot
Lei Wu, Xiaodong Huang, Junguo Cui, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119410-119410
Open Access | Times Cited: 164
An improved heuristic mechanism ant colony optimization algorithm for solving path planning
Chao Liu, Lei Wu, Wensheng Xiao, et al.
Knowledge-Based Systems (2023) Vol. 271, pp. 110540-110540
Closed Access | Times Cited: 79
Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles
Samuel Yanes Luis, Nicola Basilico, Michele Antonazzi, et al.
Expert Systems with Applications (2025), pp. 126483-126483
Closed Access | Times Cited: 1
AquaFeL-PSO: An informative path planning for water resources monitoring using autonomous surface vehicles based on multi-modal PSO and federated learning
Micaela Jara Ten Kathen, Federico Peralta, Princy Johnson, et al.
Ocean Engineering (2024) Vol. 311, pp. 118787-118787
Closed Access | Times Cited: 5
An evolutionary multi-objective path planning of a fleet of ASVs for patrolling water resources
Samuel Yanes Luis, Federico Peralta, Alejandro Tapia Córdoba, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 112, pp. 104852-104852
Open Access | Times Cited: 19
Water quality online modeling using multi-objective and multi-agent Bayesian Optimization with region partitioning
Federico Peralta, Daniel Gutiérrez Reina, S. L. Toral
Mechatronics (2023) Vol. 91, pp. 102953-102953
Closed Access | Times Cited: 11
Variational Autoencoder for the Prediction of Oil Contamination Temporal Evolution in Water Environments
Alejandro Casado-Pérez, Samuel Yanes Luis, S. L. Toral, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1654-1654
Open Access
Deep Reinforcement Multiagent Learning Framework for Information Gathering with Local Gaussian Processes for Water Monitoring
Samuel Yanes Luis, Dmitriy Shutin, Juan Marchal Gómez, et al.
Advanced Intelligent Systems (2024) Vol. 6, Iss. 8
Open Access | Times Cited: 3
Deep Reinforcement Learning Applied to Multi-agent Informative Path Planning in Environmental Missions
Samuel Yanes Luis, Manuel A. Perales‐Esteve, Daniel Gutiérrez Reina, et al.
Studies in computational intelligence (2023), pp. 31-61
Closed Access | Times Cited: 5
AquaHet-PSO: An Informative Path Planner for a Fleet of Autonomous Surface Vehicles With Heterogeneous Sensing Capabilities Based on Multi-Objective PSO
Micaela Jara Ten Kathen, Federico Peralta Samaniego, Isabel Jurado Flores, et al.
IEEE Access (2023) Vol. 11, pp. 110943-110966
Open Access | Times Cited: 5
Improved ant colony optimization algorithm based on islands type for mobile robot path planning
Qian Li, Qipeng Li, Baoling Cui
International Journal of Advanced Robotic Systems (2024) Vol. 21, Iss. 5
Open Access | Times Cited: 1
Censored deep reinforcement patrolling with information criterion for monitoring large water resources using Autonomous Surface Vehicles
Samuel Yanes Luis, Daniel Gutiérrez Reina, S. L. Toral
Applied Soft Computing (2022) Vol. 132, pp. 109874-109874
Open Access | Times Cited: 6
EA-based ASV Trajectory Planner for Detecting Cyanobacterial Blooms in Freshwater
Gonzalo Carazo-Barbero, Eva Besada-Portas, José L. Risco‐Martín, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 1321-1329
Closed Access | Times Cited: 3
A Comparison of PSO-Based Informative Path Planners for Autonomous Surface Vehicles for Water Resource Monitoring
Micaela Jara Ten Kathen, Isabel Jurado Flores, Daniel Gutiérrez Reina
(2022), pp. 271-276
Closed Access | Times Cited: 5
Simulation, Optimization and Control of Trajectories of ASVs Performing Hacbs Monitoring Missions in Lentic Waters
Alfredo González‐Calvin, Lía García‐Pérez, José L. Risco‐Martín, et al.
2018 Winter Simulation Conference (WSC) (2023), pp. 910-921
Closed Access | Times Cited: 2
Deep Variational Auto-Encoder for Model-Based Water Quality Patrolling with Intelligent Surface Vehicles
Samuel Yanes Luis, Nicola Basilico, Michele Antonazzi, et al.
Lecture notes in computer science (2024), pp. 19-28
Closed Access
Field Testing of a Stochastic Planner for ASV Navigation Using Satellite Images
Philip M. Huang, Tony T. Wang, Florian Shkurti, et al.
IEEE transactions on field robotics. (2024) Vol. 1, pp. 131-160
Open Access
Monitoring Peak Pollution Points of Water Resources with Autonomous Surface Vehicles Using a PSO-Based Informative Path Planner
Micaela Jara Ten Kathen, Princy Johnson, Isabel Jurado Flores, et al.
Studies in computational intelligence (2023), pp. 93-125
Closed Access | Times Cited: 1
Performance Evaluation of AquaFeL-PSO Informative Path Planner Under Different Contamination Profiles
Micaela Jara Ten Kathen, Federico Peralta, Princy Johnson, et al.
Studies in big data (2023), pp. 405-431
Closed Access
Performance Comparison of PSO-based Informative Path Planners for Water Monitoring under Dynamic Scenarios
Micaela Jara Ten Kathen, Isabel Jurado Flores, Daniel Gutiérrez Reina
(2022), pp. 157-163
Closed Access
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