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:
Software Engineering for AI-Based Systems: A Survey
Silverio Martínez‐Fernández, Justus Bogner, Xavier Franch, et al.
ACM Transactions on Software Engineering and Methodology (2022) Vol. 31, Iss. 2, pp. 1-59
Open Access | Times Cited: 176
Silverio Martínez‐Fernández, Justus Bogner, Xavier Franch, et al.
ACM Transactions on Software Engineering and Methodology (2022) Vol. 31, Iss. 2, pp. 1-59
Open Access | Times Cited: 176
Showing 1-25 of 176 citing articles:
Requirements engineering for artificial intelligence systems: A systematic mapping study
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, et al.
Information and Software Technology (2023) Vol. 158, pp. 107176-107176
Open Access | Times Cited: 59
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, et al.
Information and Software Technology (2023) Vol. 158, pp. 107176-107176
Open Access | Times Cited: 59
Data cleaning and machine learning: a systematic literature review
Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, et al.
Automated Software Engineering (2024) Vol. 31, Iss. 2
Closed Access | Times Cited: 17
Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, et al.
Automated Software Engineering (2024) Vol. 31, Iss. 2
Closed Access | Times Cited: 17
Engineering Digital Systems for Humanity: a Research Roadmap
Marco Autili, Martina De Sanctis, Paola Inverardi, et al.
ACM Transactions on Software Engineering and Methodology (2025)
Open Access | Times Cited: 2
Marco Autili, Martina De Sanctis, Paola Inverardi, et al.
ACM Transactions on Software Engineering and Methodology (2025)
Open Access | Times Cited: 2
Classification and challenges of non-functional requirements in ML-enabled systems: A systematic literature review
Vincenzo De Martino, Fabio Palomba
Information and Software Technology (2025), pp. 107678-107678
Open Access | Times Cited: 2
Vincenzo De Martino, Fabio Palomba
Information and Software Technology (2025), pp. 107678-107678
Open Access | Times Cited: 2
Generative Artificial Intelligence for Software Engineering - a Research Agenda
Anh NguyenDuc, Beatriz Cabrero-Daniel, Chetan Arora, et al.
(2023)
Open Access | Times Cited: 36
Anh NguyenDuc, Beatriz Cabrero-Daniel, Chetan Arora, et al.
(2023)
Open Access | Times Cited: 36
Non-functional requirements for machine learning: understanding current use and challenges among practitioners
Khan Mohammad Habibullah, Gregory Gay, Jennifer Horkoff
Requirements Engineering (2023) Vol. 28, Iss. 2, pp. 283-316
Open Access | Times Cited: 34
Khan Mohammad Habibullah, Gregory Gay, Jennifer Horkoff
Requirements Engineering (2023) Vol. 28, Iss. 2, pp. 283-316
Open Access | Times Cited: 34
The pipeline for the continuous development of artificial intelligence models—Current state of research and practice
Monika Steidl, Michael Felderer, Rudolf Ramler
Journal of Systems and Software (2023) Vol. 199, pp. 111615-111615
Open Access | Times Cited: 34
Monika Steidl, Michael Felderer, Rudolf Ramler
Journal of Systems and Software (2023) Vol. 199, pp. 111615-111615
Open Access | Times Cited: 34
Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey
Jon Pérez, Jaume Abella, Markus Borg, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-40
Open Access | Times Cited: 33
Jon Pérez, Jaume Abella, Markus Borg, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-40
Open Access | Times Cited: 33
Testing RESTful APIs: A Survey
Amid Golmohammadi, Man Zhang, Andrea Arcuri
ACM Transactions on Software Engineering and Methodology (2023) Vol. 33, Iss. 1, pp. 1-41
Open Access | Times Cited: 30
Amid Golmohammadi, Man Zhang, Andrea Arcuri
ACM Transactions on Software Engineering and Methodology (2023) Vol. 33, Iss. 1, pp. 1-41
Open Access | Times Cited: 30
A Meta-Summary of Challenges in Building Products with ML Components – Collecting Experiences from 4758+ Practitioners
Nadia Nahar, Haoran Zhang, Grace A. Lewis, et al.
(2023), pp. 171-183
Open Access | Times Cited: 27
Nadia Nahar, Haoran Zhang, Grace A. Lewis, et al.
(2023), pp. 171-183
Open Access | Times Cited: 27
Requirements practices and gaps when engineering human-centered Artificial Intelligence systems
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110421-110421
Open Access | Times Cited: 25
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110421-110421
Open Access | Times Cited: 25
Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study
Joel Castaño, Silverio Martínez‐Fernández, Xavier Franch, et al.
(2023), pp. 1-12
Open Access | Times Cited: 23
Joel Castaño, Silverio Martínez‐Fernández, Xavier Franch, et al.
(2023), pp. 1-12
Open Access | Times Cited: 23
Software Engineering by and for Humans in an AI Era
Silvia Abrahão, John Grundy, Mauro Pezzè, et al.
ACM Transactions on Software Engineering and Methodology (2025)
Closed Access | Times Cited: 1
Silvia Abrahão, John Grundy, Mauro Pezzè, et al.
ACM Transactions on Software Engineering and Methodology (2025)
Closed Access | Times Cited: 1
On design of cognitive situation-adaptive autonomous mobile robotic applications
Daniel Pakkala, Niko Känsäkoski, Tapio Heikkilä, et al.
Computers in Industry (2025) Vol. 167, pp. 104263-104263
Open Access | Times Cited: 1
Daniel Pakkala, Niko Känsäkoski, Tapio Heikkilä, et al.
Computers in Industry (2025) Vol. 167, pp. 104263-104263
Open Access | Times Cited: 1
Machine/Deep Learning for Software Engineering: A Systematic Literature Review
Simin Wang, LiGuo Huang, Amiao Gao, et al.
IEEE Transactions on Software Engineering (2022) Vol. 49, Iss. 3, pp. 1188-1231
Closed Access | Times Cited: 36
Simin Wang, LiGuo Huang, Amiao Gao, et al.
IEEE Transactions on Software Engineering (2022) Vol. 49, Iss. 3, pp. 1188-1231
Closed Access | Times Cited: 36
Implementing AI Ethics: Making Sense of the Ethical Requirements
Mamia Agbese, Rahul Mohanani, Arif Ali Khan, et al.
(2023), pp. 62-71
Open Access | Times Cited: 18
Mamia Agbese, Rahul Mohanani, Arif Ali Khan, et al.
(2023), pp. 62-71
Open Access | Times Cited: 18
Analyzing the Evolution and Maintenance of ML Models on Hugging Face
Joel Castaño, Silverio Martínez‐Fernández, Xavier Franch, et al.
(2024), pp. 607-618
Open Access | Times Cited: 7
Joel Castaño, Silverio Martínez‐Fernández, Xavier Franch, et al.
(2024), pp. 607-618
Open Access | Times Cited: 7
Quantum computing in bioinformatics: a systematic review mapping
Katarzyna Nałęcz-Charkiewicz, Kamil Charkiewicz, Robert Nowak
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 7
Katarzyna Nałęcz-Charkiewicz, Kamil Charkiewicz, Robert Nowak
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 7
Non-functional Requirements for Machine Learning: Understanding Current Use and Challenges in Industry
Khan Mohammad Habibullah, Jennifer Horkoff
(2021), pp. 13-23
Open Access | Times Cited: 37
Khan Mohammad Habibullah, Jennifer Horkoff
(2021), pp. 13-23
Open Access | Times Cited: 37
Systematic literature review on software quality for AI-based software
Bahar Gezici, Ayça Tarhan
Empirical Software Engineering (2022) Vol. 27, Iss. 3
Closed Access | Times Cited: 23
Bahar Gezici, Ayça Tarhan
Empirical Software Engineering (2022) Vol. 27, Iss. 3
Closed Access | Times Cited: 23
A compositional approach to creating architecture frameworks with an application to distributed AI systems
Hans-Martin Heyn, Eric Knauss, Patrizio Pelliccione
Journal of Systems and Software (2023) Vol. 198, pp. 111604-111604
Open Access | Times Cited: 15
Hans-Martin Heyn, Eric Knauss, Patrizio Pelliccione
Journal of Systems and Software (2023) Vol. 198, pp. 111604-111604
Open Access | Times Cited: 15
Artificial Intelligence-Based Quantitative Structure–Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity
Natalia Czub, Jakub Szlęk, Adam Pacławski, et al.
Molecular Pharmaceutics (2023) Vol. 20, Iss. 5, pp. 2545-2555
Open Access | Times Cited: 15
Natalia Czub, Jakub Szlęk, Adam Pacławski, et al.
Molecular Pharmaceutics (2023) Vol. 20, Iss. 5, pp. 2545-2555
Open Access | Times Cited: 15
Bugs in machine learning-based systems: a faultload benchmark
Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, et al.
Empirical Software Engineering (2023) Vol. 28, Iss. 3
Closed Access | Times Cited: 14
Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, et al.
Empirical Software Engineering (2023) Vol. 28, Iss. 3
Closed Access | Times Cited: 14
Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes, et al.
Journal of Systems and Software (2024) Vol. 213, pp. 112053-112053
Open Access | Times Cited: 6
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes, et al.
Journal of Systems and Software (2024) Vol. 213, pp. 112053-112053
Open Access | Times Cited: 6
Adversarial Machine Learning in Industry: A Systematic Literature Review
Felix Viktor Jedrzejewski, Lukas Thode, Jannik Fischbach, et al.
Computers & Security (2024) Vol. 145, pp. 103988-103988
Open Access | Times Cited: 5
Felix Viktor Jedrzejewski, Lukas Thode, Jannik Fischbach, et al.
Computers & Security (2024) Vol. 145, pp. 103988-103988
Open Access | Times Cited: 5
