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:

A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-29
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Policy advice and best practices on bias and fairness in AI
José M. Álvarez, Alejandra Bringas Colmenarejo, Alaa Elobaid, et al.
Ethics and Information Technology (2024) Vol. 26, Iss. 2
Open Access | Times Cited: 22

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: 45

Lithium-ion battery health assessment method based on belief rule base with interpretability
Peng Han, Wei He, You Cao, et al.
Applied Soft Computing (2023) Vol. 138, pp. 110160-110160
Closed Access | Times Cited: 36

Mathematical optimization modelling for group counterfactual explanations
Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
European Journal of Operational Research (2024) Vol. 319, Iss. 2, pp. 399-412
Open Access | Times Cited: 12

Understanding Contestability on the Margins: Implications for the Design of Algorithmic Decision-making in Public Services
Naveena Karusala, Sohini Upadhyay, Rajesh Veeraraghavan, et al.
(2024), pp. 1-16
Open Access | Times Cited: 9

Mitigating potential risk via counterfactual explanation generation in blast-based tunnel construction
Fenghua Liu, Wenli Liu, Jiajing Liu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103227-103227
Closed Access | Times Cited: 1

Categorical and Continuous Features in Counterfactual Explanations of AI Systems
Greta Warren, Ruth M. J. Byrne, Mark T. Keane
(2023)
Open Access | Times Cited: 21

Model-based explanations of concept drift
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, et al.
Neurocomputing (2023) Vol. 555, pp. 126640-126640
Open Access | Times Cited: 19

Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI)
Barnaby Crook, Maximilian Schlüter, Timo Speith
(2023), pp. 316-324
Open Access | Times Cited: 15

Physics-informed neural networks with hard linear equality constraints
Hao Chen, Gonzalo E. Constante‐Flores, Can Li
Computers & Chemical Engineering (2024) Vol. 189, pp. 108764-108764
Open Access | Times Cited: 5

The Robustness of Counterfactual Explanations Over Time
Andrea Ferrario, Michele Loi
IEEE Access (2022) Vol. 10, pp. 82736-82750
Open Access | Times Cited: 20

Generating collective counterfactual explanations in score-based classification via mathematical optimization
Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Expert Systems with Applications (2023) Vol. 238, pp. 121954-121954
Open Access | Times Cited: 13

The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR
Laura State, Alejandra Bringas Colmenarejo, Andrea Beretta, et al.
Artificial Intelligence and Law (2025)
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

Responsible AI
Giorgos Giannopoulos, Dimitris Sacharidis
Human-computer interaction series (2025), pp. 619-644
Closed Access

The Role of Initial Acceptance Attitudes Toward AI Decisions in Algorithmic Recourse
Tomu Tominaga, Naomi Yamashita, Takeshi Kurashima
(2025), pp. 1-20
Closed Access

CARE: coherent actionable recourse based on sound counterfactual explanations
Peyman Rasouli, Ingrid Chieh Yu
International Journal of Data Science and Analytics (2022) Vol. 17, Iss. 1, pp. 13-38
Open Access | Times Cited: 18

Counterfactual analysis and target setting in benchmarking
Peter Bogetoft, Jasone Ramírez-Ayerbe, Dolores Romero Morales
European Journal of Operational Research (2024) Vol. 315, Iss. 3, pp. 1083-1095
Open Access | Times Cited: 3

Prosocial dynamics in multiagent systems
Fernando P. Santos
AI Magazine (2024) Vol. 45, Iss. 1, pp. 131-138
Open Access | Times Cited: 3

Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group
Ismaïl Baaj, Zied Bouraoui, Antoine Cornuéjols, et al.
International Journal of Approximate Reasoning (2024) Vol. 171, pp. 109206-109206
Open Access | Times Cited: 3

Achieving Diversity in Counterfactual Explanations: a Review and Discussion
Thibault Laugel, Adulam Jeyasothy, Marie‐Jeanne Lesot, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1859-1869
Open Access | Times Cited: 7

On the Actionability of Outcome Prediction
Lydia T. Liu, Solon Barocas, Jon Kleinberg, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 20, pp. 22240-22249
Open Access | Times Cited: 2

Fairness and Explainability for Enabling Trust in AI Systems
Dimitris Sacharidis
Human-computer interaction series (2024), pp. 85-110
Closed Access | Times Cited: 2

Comprehension is a double-edged sword: Over-interpreting unspecified information in intelligible machine learning explanations
Yueqing Xuan, Edward Small, Kacper Sokol, et al.
International Journal of Human-Computer Studies (2024) Vol. 193, pp. 103376-103376
Open Access | Times Cited: 2

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