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:

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

Showing 13 citing articles:

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

Finding Regions of Counterfactual Explanations via Robust Optimization
Donato Maragno, Jannis Kurtz, Tabea E. Röber, et al.
INFORMS journal on computing (2024) Vol. 36, Iss. 5, pp. 1316-1334
Open Access | Times Cited: 8

Disagreement amongst counterfactual explanations: how transparency can be misleading
Dieter Brughmans, Lissa Melis, David Martens
Top (2024) Vol. 32, Iss. 3, pp. 429-462
Open Access | Times Cited: 8

Nearest Neighbors Counterfactuals
Marica Magagnini, Emilio Carrizosa, Renato De Leone
Lecture notes in computer science (2025), pp. 193-208
Closed Access

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

The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks
Sofie Goethals, Kenneth Sörensen, David Martens
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 14, Iss. 5, pp. 1-24
Open Access | Times Cited: 9

Cellular Operator Data Meets Counterfactual Machine Learning
Srikant Manas Kala, Malvika Mishra, Vanlin Sathya, et al.
IEEE Access (2024) Vol. 12, pp. 64633-64653
Open 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 | Times Cited: 1

A mathematical optimization approach to shape-constrained generalized additive models
Manuel Navarro-García, Vanesa Guerrero, Maŕıa Durbán
Expert Systems with Applications (2024) Vol. 255, pp. 124654-124654
Open Access | Times Cited: 1

Endogenous Macrodynamics in Algorithmic Recourse
Patrick Altmeyer, Giovan Angela, Aleksander Buszydlik, et al.
(2023), pp. 418-431
Open Access | Times Cited: 3

Explainable Deep Learning to Classify Royal Navy Ships
Bart Baesens, Amy Adams, Rodrigo Pacheco-Ruiz, et al.
IEEE Access (2023) Vol. 12, pp. 1774-1785
Open Access | Times Cited: 2

A new model for counterfactual analysis for functional data
Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales
Advances in Data Analysis and Classification (2023) Vol. 18, Iss. 4, pp. 981-1000
Open Access | Times Cited: 2

Supervised feature compression based on counterfactual analysis
Veronica Piccialli, Dolores Romero Morales, Cecilia Salvatore
European Journal of Operational Research (2023) Vol. 317, Iss. 2, pp. 273-285
Open Access | Times Cited: 1

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