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:

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: 49

Showing 1-25 of 49 citing articles:

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

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: 5

Safety behavior abstraction and model evolution in autonomous driving
Chao Tan, Tiexin Wang, Man Zhang, et al.
Software & Systems Modeling (2025)
Closed Access

An adversarial risk analysis framework for software release decision support
Refik Soyer, Fabrizio Ruggeri, David Rı́os Insua, et al.
Risk Analysis (2025)
Closed Access

Safety validation for connected autonomous vehicles using large-scale testing tracks in high-fidelity simulation environment
Zheng Xu, Xiaomeng Wang, Xuesong Wang, et al.
Accident Analysis & Prevention (2025) Vol. 215, pp. 108011-108011
Open Access

Autonomous Driving System Testing: Traffic Density Does Matter
Guannan Lou, Donghwan Shin, Neil Walkinshaw, et al.
Lecture notes in computer science (2025), pp. 315-331
Closed Access

A Multi-Frame Fusion Temporal Approach for 3d Lane Detection from Monocular Images
J. L. Bi, Yongchao Song, Lijun Sun, et al.
(2025)
Closed Access

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: 3

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

Deep learning adversarial attacks and defenses in autonomous vehicles: a systematic literature review from a safety perspective
Ahmed Dawod Mohammed Ibrahum, Manzoor Hussain, Jang‐Eui Hong
Artificial Intelligence Review (2024) Vol. 58, Iss. 1
Open Access | Times Cited: 3

A Comprehensive Literature Review on Artificial Dataset Generation for Repositioning Challenges in Shared Electric Automated and Connected Mobility
Antoine K. Kayisu, Witesyavwirwa Vianney Kambale, Taha Benarbia, et al.
Symmetry (2024) Vol. 16, Iss. 1, pp. 128-128
Open Access | Times Cited: 2

Semantic-guided fuzzing for virtual testing of autonomous driving systems
An Guo, Yang Feng, Yizhen Cheng, et al.
Journal of Systems and Software (2024) Vol. 212, pp. 112017-112017
Closed Access | Times Cited: 2

Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models
Jiahui Wu, Chengjie Lu, Aitor Arrieta, et al.
(2024), pp. 40-51
Open Access | Times Cited: 2

Adversarial Testing with Reinforcement Learning: A Case Study on Autonomous Driving
Andréa Doreste, Matteo Biagiola, Paolo Tonella
(2024), pp. 293-304
Closed Access | Times Cited: 2

EvoScenario: Integrating Road Structures into Critical Scenario Generation for Autonomous Driving System Testing
Shuncheng Tang, Zhenya Zhang, Jixiang Zhou, et al.
(2023), pp. 309-320
Closed Access | Times Cited: 6

Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain
Yun Tang, Antonio Anastasio Bruto da Costa, Xizhe Zhang, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023), pp. 3893-3900
Open Access | Times Cited: 6

From Collision to Verdict: Responsibility Attribution for Autonomous Driving Systems Testing
Jixiang Zhou, Shuncheng Tang, Yan Guo, et al.
(2023), pp. 321-332
Closed Access | Times Cited: 4

Focused Test Generation for Autonomous Driving Systems
Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella
ACM Transactions on Software Engineering and Methodology (2024) Vol. 33, Iss. 6, pp. 1-32
Open Access | Times Cited: 1

Generating Executable Test Scenarios from Autonomous Vehicle Disengagements using Natural Language Processing
Qunying Song, Rune Anderberg, H. Olsson, et al.
(2024), pp. 98-104
Open Access | Times Cited: 1

Boundary State Generation for Testing and Improvement of Autonomous Driving Systems
Matteo Biagiola, Paolo Tonella
IEEE Transactions on Software Engineering (2024) Vol. 50, Iss. 8, pp. 2040-2053
Open Access | Times Cited: 1

SITAR: Evaluating the Adversarial Robustness of Traffic Light Recognition in Level-4 Autonomous Driving
Bo Kyum Yang, Jinqiu Yang
2022 IEEE Intelligent Vehicles Symposium (IV) (2024), pp. 1068-1075
Closed Access | Times Cited: 1

Detection and analysis of corner case scenarios at a signalized urban intersection
Clemens Schicktanz, Kay Gimm
Accident Analysis & Prevention (2024) Vol. 210, pp. 107838-107838
Open Access | Times Cited: 1

Security analysis and adaptive false data injection against multi-sensor fusion localization for autonomous driving
Lanting Hu, Junqi Zhang, Jie Zhang, et al.
Information Fusion (2024), pp. 102822-102822
Closed Access | Times Cited: 1

Causal Models to Support Scenario-Based Testing of ADAS
Robert Maier, Lisa Grabinger, David Urlhart, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 2, pp. 1815-1831
Open Access | Times Cited: 3

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