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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:

Black-Box Testing of Deep Neural Networks through Test Case Diversity
Zohreh Aghababaeyan, Manel Abdellatif, Lionel Briand, et al.
IEEE Transactions on Software Engineering (2023) Vol. 49, Iss. 5, pp. 3182-3204
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

A Search-Based Testing Approach for Deep Reinforcement Learning Agents
Amirhossein Zolfagharian, Manel Abdellatif, Lionel Briand, et al.
IEEE Transactions on Software Engineering (2023) Vol. 49, Iss. 7, pp. 3715-3735
Open Access | Times Cited: 24
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
Zohreh Aghababaeyan, Manel Abdellatif, Mahboubeh Dadkhah, et al.
ACM Transactions on Software Engineering and Methodology (2024) Vol. 33, Iss. 6, pp. 1-29
Open Access | Times Cited: 8
A Systematic Mapping Study of the Metrics, Uses and Subjects of Diversity‐Based Testing Techniques
Islam T. Elgendy, Robert M. Hierons, Phil McMinn
Software Testing Verification and Reliability (2025) Vol. 35, Iss. 2
Open Access
A fine-grained evaluation of mutation operators to boost mutation testing for deep learning systems
Zhiyi Zhang, Yichun Wang, Yongming Yao, et al.
Empirical Software Engineering (2025) Vol. 30, Iss. 3
Closed Access
Metamorphic testing of deep neural network-based autonomous driving systems using behavioural domain adequacy
Akram Kalaee, Saeed Parsa
Neural Computing and Applications (2025)
Closed Access
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
Test Optimization in DNN Testing: A Survey
Qiang Hu, Yuejun Guo, Xiaofei Xie, et al.
ACM Transactions on Software Engineering and Methodology (2024) Vol. 33, Iss. 4, pp. 1-42
Open Access | Times Cited: 2
A review of machine learning applications in power system protection and emergency control: opportunities, challenges, and future directions
G.D. Porawagamage, Kalana Dharmapala, J. Sebastian Chaves, et al.
Frontiers in Smart Grids (2024) Vol. 3
Open Access | Times Cited: 2
Safety in Wearable Robotic Exoskeletons: Design, Control, and Testing Guidelines
Ali Nasr, Keaton A. Inkol, John McPhee
Journal of Mechanisms and Robotics (2024) Vol. 17, Iss. 5
Closed Access | Times Cited: 2
Generative Model-Based Testing on Decision-Making Policies
Zhuo Li, Xiongfei Wu, Derui Zhu, et al.
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2023), pp. 243-254
Open Access | Times Cited: 5
Curiosity-Driven Testing for Sequential Decision-Making Process
Junda He, Zhou Yang, Jieke Shi, et al.
(2024), pp. 1-14
Open Access | Times Cited: 1
GIST : Generated Inputs Sets Transferability in Deep Learning
Florian Tambon, Foutse Khomh, Giuliano Antoniol
ACM Transactions on Software Engineering and Methodology (2024)
Open Access | Times Cited: 1
Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study
Xueqi Dang, Yinghua Li, Wei Ma, et al.
Empirical Software Engineering (2024) Vol. 29, Iss. 5
Open Access | Times Cited: 1
SBFT Tool Competition 2024 - Cyber-Physical Systems Track
Matteo Biagiola, Stefan Klikovits
(2024), pp. 33-36
Closed Access | Times Cited: 1
Maximizing Test Coverage for Security Threats Using Optimal Test Data Generation
Talha Hussain, Rizwan Bin Faiz, Mohammad Aljaidi, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8252-8252
Open Access | Times Cited: 4
Software Testing of Generative AI Systems: Challenges and Opportunities
Aldeida Aleti
(2023), pp. 4-14
Open Access | Times Cited: 3
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
Zohreh Aghababaeyan, Manel Abdellatif, Mahboubeh Dadkhah, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
DeepTD: Diversity-Guided Deep Neural Network Test Generation
Jin Zhu, Chuanqi Tao, Hongjing Guo, et al.
Lecture notes in computer science (2023), pp. 419-433
Closed Access | Times Cited: 2
Safety Monitoring of Deep Reinforcement Learning Agents
Amirhossein Zolfagharian, Manel Abdellatif, Lionel Briand, et al.
(2024), pp. 286-287
Open Access
Health Care System Application (Good Care) Android-Based at Primary Health Care (Case Study at Clinic of Wijaya Kusuma)
Oliva Virvizat Prasastin, Anggi Napida, Nabilatul Fanny
Jurnal Ilmu Kesehatan Masyarakat (2024) Vol. 15, Iss. 1, pp. 97-115
Open Access
Evolutionary Generative Fuzzing for Differential Testing of the Kotlin Compiler
Georgescu Calin, Mitchell Olsthoorn, Pouria Derakhshanfar, et al.
(2024), pp. 197-207
Open Access
Pengembangan Aplikasi Analisis PLS-SEM berbasis R Shiny dan Penerapan UTAUT2 untuk Evaluasi Penerimaan Sistem Informasi
Fajar Hari Prasetyo Fajar, Budi Warsito, Aris Sugiharto
JST (Jurnal Sains dan Teknologi) (2024) Vol. 13, Iss. 1, pp. 147-158
Open Access
A New Perspective of Deep Learning Testing Framework: Human-Computer Interaction Based Neural Network Testing
Wei Kong, Hu Li, Qianjin Du, et al.
(2024), pp. 16299-16305
Closed Access
Validity Matters: Uncertainty‐Guided Testing of Deep Neural Networks
Zhouxian Jiang, Honghui Li, Rui Wang, et al.
Software Testing Verification and Reliability (2024) Vol. 34, Iss. 8
Open Access
Distance-Aware Test Input Selection for Deep Neural Networks
Li Zhong, Z. P. Xu, Ruihua Ji, et al.
(2024) Vol. 2020, pp. 248-260
Closed Access
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