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:

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

Showing 19 citing articles:

How people reason with counterfactual and causal explanations for Artificial Intelligence decisions in familiar and unfamiliar domains
Lenart Celar, Ruth M. J. Byrne
Memory & Cognition (2023) Vol. 51, Iss. 7, pp. 1481-1496
Open Access | Times Cited: 18

Counterfactual Explanations May Not Be the Best Algorithmic Recourse Approach
Sohini Upadhyay, Himabindu Lakkaraju, Krzysztof Z. Gajos
(2025), pp. 446-462
Closed Access

Beyond Binary Boundaries—Exploring the Potential of Categorical Variables in Counterfactual Explanations
Philipp Hühn, Sarah Hofer
Lecture notes in information systems and organisation (2025), pp. 167-181
Closed Access

Supporting organizational decisions on How to improve customer repurchase using multi-instance counterfactual explanations
André Artelt, Andreas Gregoriades
Decision Support Systems (2024) Vol. 182, pp. 114249-114249
Closed Access | Times Cited: 3

How to Validate XAI in Longitudinal Studies?
Martin Gjoreski, Matías Laporte, Marc Langheinrich, et al.
(2024), pp. 866-869
Closed Access | Times Cited: 1

Cases Are King: A User Study of Case Presentation to Explain CBR Decisions
Lawrence Gates, David Leake, Kaitlynne Wilkerson
Lecture notes in computer science (2023), pp. 153-168
Closed Access | Times Cited: 3

Actionable Recourse for Automated Decisions: Examining the Effects of Counterfactual Explanation Type and Presentation on Lay User Understanding
Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 5, pp. 1682-1700
Open Access

Explaining Multiple Instances Counterfactually:User Tests of Group-Counterfactuals for XAI
Greta Warren, Eoin Delaney, Christophe Guéret, et al.
Lecture notes in computer science (2024), pp. 206-222
Closed Access

Counterfactual curiosity in real decisions: The roles of outcome valence and aging
Alessandro Bogani, Katya Tentori, Benjamin Timberlake, et al.
Psychonomic Bulletin & Review (2024)
Open Access

An Exploration on Explainable AI with Background and Motivation for XAI
B. P. Sheela, H Girisha
Algorithms for intelligent systems (2024), pp. 481-489
Closed Access

For Better or Worse: The Impact of Counterfactual Explanations’ Directionality on User Behavior in xAI
Ulrike Kuhl, André Artelt, Barbara Hammer
Communications in computer and information science (2023), pp. 280-300
Open Access | Times Cited: 1

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