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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:

Explaining a Deep Reinforcement Learning (DRL)-Based Automated Driving Agent in Highway Simulations
Francesco Bellotti, Luca Lazzaroni, Alessio Capello, et al.
IEEE Access (2023) Vol. 11, pp. 28522-28550
Open Access | Times Cited: 13

Showing 13 citing articles:

Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge
Ali Dabbous, Riccardo Berta, Matteo Fresta, et al.
IEEE Open Journal of the Industrial Electronics Society (2024) Vol. 5, pp. 781-794
Open Access | Times Cited: 8
Explainable reinforcement learning for distribution network reconfiguration
Nastaran Gholizadeh, Petr Musı́lek
Energy Reports (2024) Vol. 11, pp. 5703-5715
Open Access | Times Cited: 5
From Virtual to Reality: A Deep Reinforcement Learning Solution to Implement Autonomous Driving with 3D-LiDAR
Yuhan Chen, Chan‐Tong Lam, Giovanni Pau, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1423-1423
Open Access
Deep Reinforcement Learning for Facilitating Human-Robot Interaction in Manufacturing
Nathan Eskue, Márcia Baptista
Springer series in advanced manufacturing (2025), pp. 69-95
Closed Access
Leveraging Neural Architecture Search for Structural Health Monitoring on Resource-Constrained Devices
Alessio Capello, Riccardo Berta, Matteo Fresta, et al.
Lecture notes in electrical engineering (2025), pp. 323-330
Closed Access
Robustness Verification of a Reinforcement Learning-Based Agent for Automated Car Parking
Francesco Bellotti, Riccardo Berta, Vafali Soltanmuradov, et al.
Lecture notes in electrical engineering (2025), pp. 139-147
Closed Access
Runtime Input Monitoring of a Reinforcement Learning-Based Agent for Automated Car Parking
Hadi Ballout, Riccardo Berta, Igor Bochenko, et al.
Lecture notes in electrical engineering (2025), pp. 387-394
Closed Access
Exploring Decision Transformer for Highway Automated Driving
Luca Forneris, Francesco Bellotti, Riccardo Berta, et al.
Lecture notes in electrical engineering (2025), pp. 123-130
Closed Access
Comparing Detection-Based and Motion-Based Preprocessing of Video Frames for Automated Driving Scenario Detection
Marianna Cossu, Riccardo Berta, Mohammad Ali Bagheri Orumi, et al.
Lecture notes in electrical engineering (2025), pp. 250-257
Closed Access
Investigating Adversarial Policy Learning for Robust Agents in Automated Driving Highway Simulations
Alessandro Pighetti, Francesco Bellotti, Changjae Oh, et al.
Lecture notes in electrical engineering (2024), pp. 124-129
Closed Access | Times Cited: 2
Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles
Luca Forneris, Alessandro Pighetti, Luca Lazzaroni, et al.
International Journal of Serious Games (2023) Vol. 10, Iss. 4, pp. 153-170
Open Access | Times Cited: 4
Alessandro De Gloria, a Pioneer in Electronic Engineering Applications
Francesco Bellotti, Élisa Bricco, Agostino Bruzzone, et al.
Lecture notes in electrical engineering (2024), pp. 3-11
Closed Access
Joint Data-Driven Analysis of Visual-Odometric Anomaly Signals in Generative Ai-Based Agents
Giulia Slavic, M. Bracco, Lucio Marcenaro, et al.
(2024), pp. 264-268
Closed Access
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