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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:

Gaining insight through case-based explanation
Conor Nugent, Dónal Doyle, Pádraig Cunningham
Journal of Intelligent Information Systems (2008) Vol. 32, Iss. 3, pp. 267-295
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies
Eoin M. Kenny, Courtney Ford, Molly S. Quinn, et al.
Artificial Intelligence (2021) Vol. 294, pp. 103459-103459
Open Access | Times Cited: 162
A Framework for Web Science
Tim Berners‐Lee, Wendy Hall, James Hendler, et al.
(2006)
Closed Access | Times Cited: 259
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
Mark T. Keane, Eoin M. Kenny, Eoin Delaney, et al.
(2021), pp. 4466-4474
Open Access | Times Cited: 97
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
Eoin M. Kenny, Mark T. Keane
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 13, pp. 11575-11585
Open Access | Times Cited: 71
Instance-Based Counterfactual Explanations for Time Series Classification
Eoin Delaney, Derek Greene, Mark T. Keane
Lecture notes in computer science (2021), pp. 32-47
Closed Access | Times Cited: 71
Explainable AI for earth observation: A review including societal and regulatory perspectives
Caroline Gevaert
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102869-102869
Open Access | Times Cited: 49
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
Lessons Learned from Development of a Software Tool to Support Academic Advising
Nicholas Mattei, Thomas B. Dodson, Joshua T. Guerin, et al.
(2025)
Closed Access | Times Cited: 1
How Case-Based Reasoning Explains Neural Networks: A Theoretical Analysis of XAI Using Post-Hoc Explanation-by-Example from a Survey of ANN-CBR Twin-Systems
Mark T. Keane, Eoin M. Kenny
Lecture notes in computer science (2019), pp. 155-171
Open Access | Times Cited: 72
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
NICE: an algorithm for nearest instance counterfactual explanations
Dieter Brughmans, Pieter Leyman, David Martens
Data Mining and Knowledge Discovery (2023)
Open Access | Times Cited: 21
XAI in hindsight: Shapley values for explaining prediction accuracy
Andreas Brandsæter, Ingrid K. Glad
Expert Systems with Applications (2025), pp. 126845-126845
Open Access
Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI
Eoin M. Kenny, Mark T. Keane
Knowledge-Based Systems (2021) Vol. 233, pp. 107530-107530
Open Access | Times Cited: 27
Explaining and Auditing with “Even-If”: Uses for Semi-factual Explanations in AI/ML
Eoin M. Kenny, Wěipéng Huáng, Saugat Aryal, et al.
Smart innovation, systems and technologies (2025), pp. 135-145
Closed Access
Noise reduction for instance-based learning with a local maximal margin approach
Nicola Segata, Enrico Blanzieri, Sarah Jane Delany, et al.
Journal of Intelligent Information Systems (2009) Vol. 35, Iss. 2, pp. 301-331
Open Access | Times Cited: 50
Privacy-Preserving Generative Adversarial Network for Case-Based Explainability in Medical Image Analysis
Helena Montenegro, Wilson Silva, Jaime S. Cardoso
IEEE Access (2021) Vol. 9, pp. 148037-148047
Open Access | Times Cited: 25
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
A Natural Language Argumentation Interface for Explanation Generation in Markov Decision Processes
Thomas B. Dodson, Nicholas Mattei, Judy Goldsmith
Lecture notes in computer science (2011), pp. 42-55
Closed Access | Times Cited: 40
Feature-Weighted Counterfactual-Based Explanation for Bankruptcy Prediction
Soo Hyun Cho, Kyung‐shik Shin
Expert Systems with Applications (2022) Vol. 216, pp. 119390-119390
Closed Access | Times Cited: 15
Privacy-preserving explainable AI: a survey
Thành Tâm Nguyên, Thanh Trung Huynh, Zhao Ren, et al.
Science China Information Sciences (2024) Vol. 68, Iss. 1
Open Access | Times Cited: 2
Improving Case-Based Reasoning Systems by Combining K-Nearest Neighbour Algorithm with Logistic Regression in the Prediction of Patients’ Registration on the Renal Transplant Waiting List
Boris Campillo‐Gimenez, Wassim Jouini, Sahar Bayat, et al.
PLoS ONE (2013) Vol. 8, Iss. 9, pp. e71991-e71991
Open Access | Times Cited: 23
Even If Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI
Saugat Aryal, Mark T. Keane
(2023), pp. 6526-6535
Open Access | Times Cited: 6
Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective
Eoin M. Kenny, Eoin Delaney, Derek Greene, et al.
Lecture notes in computer science (2021), pp. 20-34
Closed Access | Times Cited: 15
Privacy-Preserving Case-Based Explanations: Enabling Visual Interpretability by Protecting Privacy
Helena Montenegro, Wilson Silva, Alex Gaudio, et al.
IEEE Access (2022) Vol. 10, pp. 28333-28347
Open Access | Times Cited: 10
A Scalable Noise Reduction Technique for Large Case-Based Systems
Nicola Segata, Enrico Blanzieri, Pádraig Cunningham
Lecture notes in computer science (2009), pp. 328-342
Closed Access | Times Cited: 23
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