Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 18 citing articles:

Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma, Varich Boonsanong, Minh Hoang, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 12, pp. 1-42
Open Access | Times Cited: 34
Explainable AI and Stakes in Medicine: A User Study
Sam Baron, Andrew J. Latham, Somogy Varga
Artificial Intelligence (2025), pp. 104282-104282
Open Access
Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare
Massimo Salvi, Silvia Seoni, Andrea Campagner, et al.
International Journal of Medical Informatics (2025) Vol. 197, pp. 105846-105846
Open Access
Counterfactual Explanations May Not Be the Best Algorithmic Recourse Approach
Sohini Upadhyay, Himabindu Lakkaraju, Krzysztof Z. Gajos
(2025), pp. 446-462
Closed Access
Counterfactual Based Approaches for Feature Attributions of Stress Factors Affecting Rice Yield
Nisha P. Shetty, Balachandra Muniyal, Ketavarapu Sriyans, et al.
Engineering Reports (2025) Vol. 7, Iss. 1
Open Access
Good Explanations in Explainable Artificial Intelligence (XAI): Evidence from Human Explanatory Reasoning
Ruth M. J. Byrne
(2023), pp. 6536-6544
Open Access | Times Cited: 9
Deciphering Knee Osteoarthritis Diagnostic Features With Explainable Artificial Intelligence: A Systematic Review
Yun Xin Teoh, Alice Othmani, Siew Li Goh, et al.
IEEE Access (2024) Vol. 12, pp. 109080-109108
Open Access | Times Cited: 3
Counterfactual explanations for misclassified images: How human and machine explanations differ
Eoin Delaney, Arjun Pakrashi, Derek Greene, et al.
Artificial Intelligence (2023) Vol. 324, pp. 103995-103995
Open Access | Times Cited: 8
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
How to Validate XAI in Longitudinal Studies?
Martin Gjoreski, Matías Laporte, Marc Langheinrich, et al.
(2024), pp. 866-869
Closed Access | Times Cited: 1
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
Devising Scrutable User Models for Time Management Assistants
Jovan Jeromela, Owen Conlan
(2024), pp. 250-255
Closed Access
Interval Abstractions for Robust Counterfactual Explanations
Junqi Jiang, Francesco Leofante, Antonio Rago, et al.
Artificial Intelligence (2024) Vol. 336, pp. 104218-104218
Open Access
Semifactual Explanations for Reinforcement Learning
Jasmina Gajcin, Jovan Jeromela, Ivana Dusparić
(2024), pp. 167-175
Open Access
Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups
Ebtisam AlJalaud, Manar Hosny
Mathematics (2024) Vol. 12, Iss. 23, pp. 3727-3727
Open 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
PertCF: A Perturbation-Based Counterfactual Generation Approach
Betül Bayrak, Kerstin Bach
Lecture notes in computer science (2023), pp. 174-187
Closed 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
Page 1

Scroll to top