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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:

Quality Metrics and Oracles for Autonomous Vehicles Testing
Gunel Jahangirova, Andrea Stocco, Paolo Tonella
(2021)
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities
Gourav Bathla, Kishor V. Bhadane, Rahul Kumar Singh, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-36
Open Access | Times Cited: 135
A Survey on Automated Driving System Testing: Landscapes and Trends
Shuncheng Tang, Zhenya Zhang, Yi Zhang, et al.
ACM Transactions on Software Engineering and Methodology (2023) Vol. 32, Iss. 5, pp. 1-62
Open Access | Times Cited: 54
DeepCrime: mutation testing of deep learning systems based on real faults
Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
(2021)
Open Access | Times Cited: 75
DeepHyperion: exploring the feature space of deep learning-based systems through illumination search
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, et al.
(2021), pp. 79-90
Open Access | Times Cited: 61
Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems
Andrea Stocco, Brian Pulfer, Paolo Tonella
IEEE Transactions on Software Engineering (2022) Vol. 49, Iss. 4, pp. 1928-1940
Open Access | Times Cited: 38
Testing of autonomous driving systems: where are we and where should we go?
Guannan Lou, Yao Deng, Xi Zheng, et al.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022), pp. 31-43
Open Access | Times Cited: 32
Model vs system level testing of autonomous driving systems: a replication and extension study
Andrea Stocco, Brian Pulfer, Paolo Tonella
Empirical Software Engineering (2023) Vol. 28, Iss. 3
Open Access | Times Cited: 22
Simulation-based Test Case Generation for Unmanned Aerial Vehicles in the Neighborhood of Real Flights
Sajad Khatiri, Sebastiano Panichella, Paolo Tonella
(2023), pp. 281-292
Open Access | Times Cited: 22
SBFT Tool Competition 2023 - Cyber-Physical Systems Track
Matteo Biagiola, Stefan Klikovits, Jarkko Peltomäki, et al.
(2023), pp. 45-48
Closed Access | Times Cited: 22
ThirdEye: Attention Maps for Safe Autonomous Driving Systems
Andrea Stocco, Paulo J. Nunes, Marcelo d’Amorim, et al.
(2022), pp. 1-12
Open Access | Times Cited: 28
SBST tool competition 2022
Alessio Gambi, Gunel Jahangirova, Vincenzo Riccio, et al.
(2022)
Open Access | Times Cited: 28
Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios
Qunying Song, Emelie Engström, Per Runeson
ACM Transactions on Software Engineering and Methodology (2024) Vol. 33, Iss. 4, pp. 1-35
Open Access | Times Cited: 6
Two is better than one: digital siblings to improve autonomous driving testing
Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, et al.
Empirical Software Engineering (2024) Vol. 29, Iss. 4
Open Access | Times Cited: 6
Predicting Safety Misbehaviours in Autonomous Driving Systems Using Uncertainty Quantification
Ruben Grewal, Paolo Tonella, Andrea Stocco
(2024), pp. 70-81
Open Access | Times Cited: 6
Confidence‐driven weighted retraining for predicting safety‐critical failures in autonomous driving systems
Andrea Stocco, Paolo Tonella
Journal of Software Evolution and Process (2021) Vol. 34, Iss. 10
Open Access | Times Cited: 32
How Does Simulation-Based Testing for Self-Driving Cars Match Human Perception?
Christian Birchler, Tanzil Kombarabettu Mohammed, Pooja Rani, et al.
Proceedings of the ACM on software engineering. (2024) Vol. 1, Iss. FSE, pp. 929-950
Open Access | Times Cited: 4
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score
Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, et al.
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2021), pp. 355-367
Open Access | Times Cited: 26
Parameter Coverage for Testing of Autonomous Driving Systems under Uncertainty
Thomas Laurent, Stefan Klikovits, Paolo Arcaini, et al.
ACM Transactions on Software Engineering and Methodology (2022) Vol. 32, Iss. 3, pp. 1-31
Open Access | Times Cited: 16
Performance-Driven Metamorphic Testing of Cyber-Physical Systems
Jon Ayerdi, Pablo Valle, Sergio Segura, et al.
IEEE Transactions on Reliability (2022) Vol. 72, Iss. 2, pp. 827-845
Open Access | Times Cited: 16
Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study
Fiorella Zampetti, Damian A. Tamburri, Sebastiano Panichella, et al.
ACM Transactions on Software Engineering and Methodology (2022) Vol. 32, Iss. 3, pp. 1-44
Open Access | Times Cited: 15
Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing
Stefano Carlo Lambertenghi, Andrea Stocco
(2024), pp. 173-184
Open Access | Times Cited: 3
AI-based Test Automation: A Grey Literature Analysis
Filippo Ricca, Alessandro Marchetto, Andrea Stocco
(2021), pp. 263-270
Closed Access | Times Cited: 19
DeepAtash: Focused Test Generation for Deep Learning Systems
Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella
(2023), pp. 954-966
Closed Access | Times Cited: 8
Identifying and Explaining Safety-critical Scenarios for Autonomous Vehicles via Key Features
Neelofar Neelofar, Aldeida Aleti
ACM Transactions on Software Engineering and Methodology (2024) Vol. 33, Iss. 4, pp. 1-32
Open Access | Times Cited: 2
Pedestrian Emergence Estimation and Occlusion-Aware Risk Assessment for Urban Autonomous Driving
Mert Koc, Ekim Yurtsever, Keith Redmill, et al.
(2021)
Open Access | Times Cited: 12
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