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 Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations
Barry Smyth, Mark T. Keane
Lecture notes in computer science (2022), pp. 18-32
Closed Access | Times Cited: 18
Barry Smyth, Mark T. Keane
Lecture notes in computer science (2022), pp. 18-32
Closed Access | Times Cited: 18
Showing 18 citing articles:
Solving the class imbalance problem using a counterfactual method for data augmentation
Mohammed Temraz, Mark T. Keane
Machine Learning with Applications (2022) Vol. 9, pp. 100375-100375
Open Access | Times Cited: 41
Mohammed Temraz, Mark T. Keane
Machine Learning with Applications (2022) Vol. 9, pp. 100375-100375
Open Access | Times Cited: 41
Counterfactual Shapley Additive Explanations
Emanuele Albini, Jason Long, Danial Dervovic, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1054-1070
Open Access | Times Cited: 32
Emanuele Albini, Jason Long, Danial Dervovic, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1054-1070
Open Access | Times Cited: 32
Categorical and Continuous Features in Counterfactual Explanations of AI Systems
Greta Warren, Ruth M. J. Byrne, Mark T. Keane
(2023)
Open Access | Times Cited: 19
Greta Warren, Ruth M. J. Byrne, Mark T. Keane
(2023)
Open Access | Times Cited: 19
A systematic literature review of artificial intelligence (AI) transparency laws in the European Union (EU) and United Kingdom (UK): a socio-legal approach to AI transparency governance
Joshua Krook, Peter Winter, John Downer, et al.
AI and Ethics (2025)
Closed Access
Joshua Krook, Peter Winter, John Downer, et al.
AI and Ethics (2025)
Closed Access
When AI meets counterfactuals: the ethical implications of counterfactual world simulation models
Lara Kirfel, Robert J. MacCoun, Thomas Icard, et al.
AI and Ethics (2025)
Open Access
Lara Kirfel, Robert J. MacCoun, Thomas Icard, et al.
AI and Ethics (2025)
Open Access
Evaluation of Instance-Based Explanations: An In-Depth Analysis of Counterfactual Evaluation Metrics, Challenges, and the CEval Toolkit
Betül Bayrak, Kerstin Bach
IEEE Access (2024) Vol. 12, pp. 137683-137695
Open Access | Times Cited: 4
Betül Bayrak, Kerstin Bach
IEEE Access (2024) Vol. 12, pp. 137683-137695
Open Access | Times Cited: 4
Nearest Neighbors Counterfactuals
Marica Magagnini, Emilio Carrizosa, Renato De Leone
Lecture notes in computer science (2025), pp. 193-208
Closed Access
Marica Magagnini, Emilio Carrizosa, Renato De Leone
Lecture notes in computer science (2025), pp. 193-208
Closed Access
Developing Long-Term Business Strategies by Leveraging Infeasible Recommendations of the Counterfactual Explanation Model
Amir Hossein Ordibazar, Omar Khadeer Hussain, Ripon K. Chakrabortty, et al.
Lecture notes on data engineering and communications technologies (2025), pp. 177-187
Closed Access
Amir Hossein Ordibazar, Omar Khadeer Hussain, Ripon K. Chakrabortty, et al.
Lecture notes on data engineering and communications technologies (2025), pp. 177-187
Closed Access
CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction
L. L. Wang, Xinyu Guo, Haoyue Shi, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
L. L. Wang, Xinyu Guo, Haoyue Shi, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting
Ulrike Kuhl, André Artelt, Barbara Hammer
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2125-2137
Open Access | Times Cited: 16
Ulrike Kuhl, André Artelt, Barbara Hammer
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2125-2137
Open Access | Times Cited: 16
Semi-factual Explanations in AI
Saugat Aryal
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 21, pp. 23379-23380
Open Access | Times Cited: 3
Saugat Aryal
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 21, pp. 23379-23380
Open Access | Times Cited: 3
Achieving Diversity in Counterfactual Explanations: a Review and Discussion
Thibault Laugel, Adulam Jeyasothy, Marie‐Jeanne Lesot, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1859-1869
Open Access | Times Cited: 6
Thibault Laugel, Adulam Jeyasothy, Marie‐Jeanne Lesot, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1859-1869
Open Access | Times Cited: 6
“Better” Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI)
Greta Warren, Barry Smyth, Mark T. Keane
Lecture notes in computer science (2022), pp. 63-78
Closed Access | Times Cited: 9
Greta Warren, Barry Smyth, Mark T. Keane
Lecture notes in computer science (2022), pp. 63-78
Closed Access | Times Cited: 9
Categorical and Continuous Features in Counterfactual Explanations of AI Systems
Greta Warren, Ruth M. J. Byrne, Mark T. Keane
ACM Transactions on Interactive Intelligent Systems (2024)
Open Access | Times Cited: 1
Greta Warren, Ruth M. J. Byrne, Mark T. Keane
ACM Transactions on Interactive Intelligent Systems (2024)
Open Access | Times Cited: 1
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
Emanuele Albini, Shubham Sharma, Saumitra Mishra, et al.
(2023), pp. 411-431
Open Access | Times Cited: 3
Emanuele Albini, Shubham Sharma, Saumitra Mishra, et al.
(2023), pp. 411-431
Open Access | Times Cited: 3
Counterfactual-Based Synthetic Case Generation
Anik Sen, Mallika Mainali, Christopher B. Rauch, et al.
Lecture notes in computer science (2024), pp. 388-403
Closed Access
Anik Sen, Mallika Mainali, Christopher B. Rauch, et al.
Lecture notes in computer science (2024), pp. 388-403
Closed Access
Even-Ifs from If-Onlys: Are the Best Semi-factual Explanations Found Using Counterfactuals as Guides?
Saugat Aryal, Mark T. Keane
Lecture notes in computer science (2024), pp. 33-49
Closed Access
Saugat Aryal, Mark T. Keane
Lecture notes in computer science (2024), pp. 33-49
Closed Access
Anticipating the risks and benefits of counterfactual world simulation models
Lara Kirfel, Robert J. MacCoun, Thomas Icard, et al.
(2023)
Open Access | Times Cited: 1
Lara Kirfel, Robert J. MacCoun, Thomas Icard, et al.
(2023)
Open Access | Times Cited: 1
Semantic Meaningfulness: Evaluating Counterfactual Approaches for Real-World Plausibility and Feasibility
Jacqueline Höllig, Aniek F. Markus, Jef de Slegte, et al.
Communications in computer and information science (2023), pp. 636-659
Closed Access
Jacqueline Höllig, Aniek F. Markus, Jef de Slegte, et al.
Communications in computer and information science (2023), pp. 636-659
Closed Access
