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 Deep Mixture of Experts Network for Drone Trajectory Intent Classification and Prediction using Non-Cooperative Radar Data
Benjamín Fraser, Adolfo Perrusquía, Dimitrios Panagiotakopoulos, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 1-6
Open Access | Times Cited: 6
Benjamín Fraser, Adolfo Perrusquía, Dimitrios Panagiotakopoulos, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 1-6
Open Access | Times Cited: 6
Showing 6 citing articles:
Reservoir Computing for Drone Trajectory Intent Prediction: A Physics Informed Approach
Adolfo Perrusquía, Weisi Guo
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 4939-4948
Open Access | Times Cited: 5
Adolfo Perrusquía, Weisi Guo
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 4939-4948
Open Access | Times Cited: 5
Disaster Area Coverage Optimisation Using Reinforcement Learning
Ciaran Gruffeille, Adolfo Perrusquía, Antonios Tsourdos, et al.
2022 International Conference on Unmanned Aircraft Systems (ICUAS) (2024)
Closed Access | Times Cited: 3
Ciaran Gruffeille, Adolfo Perrusquía, Antonios Tsourdos, et al.
2022 International Conference on Unmanned Aircraft Systems (ICUAS) (2024)
Closed Access | Times Cited: 3
Swarm Decoys Deployment for Missile Deceive using Multi-Agent Reinforcement Learning
Enver Bildik, Antonios Tsourdos, Adolfo Perrusquía, et al.
2022 International Conference on Unmanned Aircraft Systems (ICUAS) (2024), pp. 256-263
Closed Access | Times Cited: 1
Enver Bildik, Antonios Tsourdos, Adolfo Perrusquía, et al.
2022 International Conference on Unmanned Aircraft Systems (ICUAS) (2024), pp. 256-263
Closed Access | Times Cited: 1
Explaining Data-Driven Control in Autonomous Systems: A Reinforcement Learning Case Study
Mengbang Zou, Adolfo Perrusquía, Weisi Guo
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2024) Vol. 31, pp. 73-78
Closed Access | Times Cited: 1
Mengbang Zou, Adolfo Perrusquía, Weisi Guo
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2024) Vol. 31, pp. 73-78
Closed Access | Times Cited: 1
A Novel Physics-Informed Recurrent Neural Network Approach for State Estimation of Autonomous Platforms
Adolfo Perrusquía, Weisi Guo
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-7
Closed Access
Adolfo Perrusquía, Weisi Guo
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-7
Closed Access
Enhancing Situational Awareness of Helicopter Pilots in Unmanned Aerial Vehicle-Congested Environments Using an Airborne Visual Artificial Intelligence Approach
John Mugabe, M. Wiśniewski, Adolfo Perrusquía, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7762-7762
Open Access
John Mugabe, M. Wiśniewski, Adolfo Perrusquía, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7762-7762
Open Access
