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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:

Detection of Malicious Intent in Non-cooperative Drone Surveillance
Jiaming Liang, Bashar I. Ahmad, Mohammed Jahangir, et al.
(2021)
Open Access | Times Cited: 20

Showing 20 citing articles:

Uncovering drone intentions using control physics informed machine learning
Adolfo Perrusquía, Weisi Guo, Benjamin T. Fraser, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 7
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
Adaptive UAS Intent Estimation for Cyber-Physical Security
Sarocha Jetawatthana, Thanakorn Khamvilai
AIAA SCITECH 2022 Forum (2025)
Closed Access
Comparative Micro-Doppler Signal Detection in L-band and X-band Drone Detection Systems
Jiangkun Gong, Deren Li, Jun Yan, et al.
Lecture notes in electrical engineering (2025), pp. 291-300
Closed Access
Estimation of drone intention using trajectory frequency defined in radar's measurement phase planes
Joongsup Yun, David Anderson, Francesco Fioranelli
IET Radar Sonar & Navigation (2023) Vol. 17, Iss. 9, pp. 1327-1341
Open Access | Times Cited: 10
Hybrid Deep Neural Networks for Drone High Level Intent Classification using Non-Cooperative Radar Data
Benjamín Fraser, Adolfo Perrusquía, Dimitrios Panagiotakopoulos, et al.
(2023)
Open Access | Times Cited: 10
Drone’s Objective Inference Using Policy Error Inverse Reinforcement Learning
Adolfo Perrusquía, Weisi Guo
IEEE Transactions on Neural Networks and Learning Systems (2023), pp. 1-12
Open Access | Times Cited: 8
A Two-Stages Unsupervised/Supervised Statistical Learning Approach for Drone Behaviour Prediction
Gurpreet Singh, Adolfo Perrusquía, Weisi Guo
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2023), pp. 1-6
Open Access | Times Cited: 6
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
A Review of Automatic Classification of Drones Using Radar: Key Considerations, Performance Evaluation, and Prospects
Bashar I. Ahmad, Colin Rogers, Stephen Harman, et al.
IEEE Aerospace and Electronic Systems Magazine (2023) Vol. 39, Iss. 2, pp. 18-33
Open Access | Times Cited: 5
Uncovering Reward Goals in Distributed Drone Swarms Using Physics-Informed Multiagent Inverse Reinforcement Learning
Adolfo Perrusquía, Weisi Guo
IEEE Transactions on Cybernetics (2024) Vol. 55, Iss. 1, pp. 14-23
Closed Access | Times Cited: 1
Conflict Risk Assessment between Non-Cooperative Drones and Manned Aircraft in Airport Terminal Areas
Renwei Zhu, Zhao Yang, Jun Chen
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10377-10377
Open Access | Times Cited: 7
Uncovering Drone Intentions using Control Physics Informed Machine Learning
Adolfo Perrusquía, Weisi Guo, Benjamin T. Fraser, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
External Information Aided Urban Target Tracking with UAVs
Jianduo Chai, Yue Hou, Shaoming He
Lecture notes in electrical engineering (2024), pp. 48-64
Closed Access
Bayesian Filtering-Based Internet of Drone Things for Precision Drone Delivery: Challenges, Unravelling, and Future Research Scope
Amit Kumar, Bhavya Alankar, Jawed Ahmed, et al.
(2024), pp. 1-6
Closed Access
A Survey on Radar Techniques for Detection,Tracking, and Classification of Aerial Threats
Wahab Khawaja
(2022)
Open Access | Times Cited: 2
A Review of Automatic Classification of Drones Using Radar: Key Considerations, Performance Evaluation and Prospects
Bashar I. Ahmad, Colin Rogers, Stephen Harman, et al.
(2023)
Open Access
Perimeter Intrusion Prediction Method Using Trajectory Frequency and Naive Bayes Classifier
Joongsup Yun, Hyo‐Sang Shin, Antonios Tsourdos
(2023), pp. 1610-1615
Open Access
A Review of Automatic Classification of Drones Using Radar: Key Considerations, Performance Evaluation and Prospects
Bashar I. Ahmad, Colin Rogers, Stephen Harman, et al.
(2023)
Open Access
A Survey on Radar Techniques for Detection,Tracking, and Classification of Aerial Threats
Wahab Khawaja
(2022)
Open Access
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