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:

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

Showing 1-25 of 71 citing articles:

Counterfactual explanations and how to find them: literature review and benchmarking
Riccardo Guidotti
Data Mining and Knowledge Discovery (2022) Vol. 38, Iss. 5, pp. 2770-2824
Open Access | Times Cited: 212
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
Benchmarking and survey of explanation methods for black box models
Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, et al.
Data Mining and Knowledge Discovery (2023) Vol. 37, Iss. 5, pp. 1719-1778
Open Access | Times Cited: 100
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
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
Explainability in supply chain operational risk management: A systematic literature review
Sonia Farhana Nimmy, Omar Khadeer Hussain, Ripon K. Chakrabortty, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107587-107587
Closed Access | Times Cited: 59
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
Diffusion Models for Counterfactual Explanations
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
Lecture notes in computer science (2023), pp. 219-237
Open Access | Times Cited: 18
Explainable spatially explicit geospatial artificial intelligence in urban analytics
Pengyuan Liu, Yan Zhang, Filip Biljecki
Environment and Planning B Urban Analytics and City Science (2023) Vol. 51, Iss. 5, pp. 1104-1123
Closed Access | Times Cited: 18
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, et al.
Proceedings of the 17th international conference on Computational linguistics - (2020)
Open Access | Times Cited: 48
Defining Explanation and Explanatory Depth in XAI
Stefan Buijsman
Minds and Machines (2022) Vol. 32, Iss. 3, pp. 563-584
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
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
Linyi Yang, Jiazheng Li, Pádraig Cunningham, et al.
(2021), pp. 306-316
Open Access | Times Cited: 32
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
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse
Zijie J. Wang, Jennifer Wortman Vaughan, Rich Caruana, et al.
(2023), pp. 1-20
Open Access | Times Cited: 11
Formalising the Robustness of Counterfactual Explanations for Neural Networks
Junqi Jiang, Francesco Leofante, Antonio Rago, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 12, pp. 14901-14909
Open Access | Times Cited: 11
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
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
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
Jinghui Lu, Linyi Yang, Brian Mac Namee, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 6986-6996
Open Access | Times Cited: 17
Natural Example-Based Explainability: A Survey
Antonin Poché, Lucas Hervier, Mohamed-Chafik Bakkay
Communications in computer and information science (2023), pp. 24-47
Closed Access | Times Cited: 10
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
Explainable Artificial Intelligence for Healthcare Applications Using Random Forest Classifier with LIME and SHAP
Mrutyunjaya Panda, Soumya Ranjan Mahanta
CRC Press eBooks (2024), pp. 89-105
Open Access | Times Cited: 3
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
Increasing the Value of XAI for Users: A Psychological Perspective
Robert R. Hoffman, Timothy M. Miller, Gary Klein, et al.
KI - Künstliche Intelligenz (2023) Vol. 37, Iss. 2-4, pp. 237-247
Open Access | Times Cited: 7
Toward practical and plausible counterfactual explanation through latent adjustment in disentangled space
Seung-Hyup Na, Woo-Jeoung Nam, Seong‐Whan Lee
Expert Systems with Applications (2023) Vol. 233, pp. 120982-120982
Closed Access | Times Cited: 6
Page 1 - Next Page

Scroll to top