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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:

Let's go to the Alien Zoo: Introducing an experimental framework to study usability of counterfactual explanations for machine learning
Ulrike Kuhl, André Artelt, Barbara Hammer
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 12

Showing 12 citing articles:

Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 4, pp. 2104-2122
Open Access | Times Cited: 62
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
Explainable AI and Stakes in Medicine: A User Study
Sam Baron, Andrew J. Latham, Somogy Varga
Artificial Intelligence (2025), pp. 104282-104282
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
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
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 3
CL-XAI: Toward Enriched Cognitive Learning with Explainable Artificial Intelligence
Muhammad Suffian, Ulrike Kuhl, José M. Alonso, et al.
Lecture notes in computer science (2024), pp. 5-27
Closed Access
Understanding Users’ AI Manipulation Intention: An Empirical Investigation of the Antecedents in the Context of AI Recommendation Algorithms
Taeyoung Kim, Il Im
Information & Management (2024) Vol. 62, Iss. 1, pp. 104061-104061
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
The Human Side of XAI: Bridging the Gap between AI and Non-expert Audiences
Beatriz Severes, Carolina Carreira, Ana Beatriz Vieira, et al.
(2023), pp. 126-132
Open Access | Times Cited: 1
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI
Ulrike Kuhl, André Artelt, Barbara Hammer
arXiv (Cornell University) (2023)
Open Access
EXPLICIT RULE LEARNING: A COGNITIVE TUTORIAL METHOD TO TRAIN USERS OF ARTIFICIAL INTELLIGENCE/MACHINE LEARNING SYSTEMS
Anne Linja
(2023)
Open Access
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