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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:

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: 215

Showing 1-25 of 215 citing articles:

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
Sajid Ali, Tamer Abuhmed, Shaker El–Sappagh, et al.
Information Fusion (2023) Vol. 99, pp. 101805-101805
Open Access | Times Cited: 640
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts
Gesina Schwalbe, Bettina Finzel
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 5, pp. 3043-3101
Open Access | Times Cited: 142
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
Luca Longo, Mario Brčić, Federico Cabitza, et al.
Information Fusion (2024) Vol. 106, pp. 102301-102301
Open Access | Times Cited: 141
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: 108
Decision trees: from efficient prediction to responsible AI
Hendrik Blockeel, Laurens Devos, Benoît Frénay‬, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 54
Adversarial attacks and defenses in explainable artificial intelligence: A survey
Hubert Baniecki, Przemysław Biecek
Information Fusion (2024) Vol. 107, pp. 102303-102303
Open Access | Times Cited: 39
Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
Melkamu Mersha, Khang Nhứt Lâm, Joseph Wood, et al.
Neurocomputing (2024) Vol. 599, pp. 128111-128111
Closed Access | Times Cited: 20
Artificial Intelligence
Wannes Meert, Tinne De Laet, Luc De Raedt
Cambridge University Press eBooks (2025), pp. 17-39
Closed Access | Times Cited: 2
Interpretable Machine Learning Techniques in ECG-Based Heart Disease Classification: A Systematic Review
Yehualashet Megersa Ayano, Friedhelm Schwenker, Bisrat Derebssa Dufera, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 111-111
Open Access | Times Cited: 61
Towards white box modeling of compressive strength of sustainable ternary cement concrete using explainable artificial intelligence (XAI)
Syed Muhammad Ibrahim, Saad Shamim Ansari, Syed Danish Hasan
Applied Soft Computing (2023) Vol. 149, pp. 110997-110997
Closed Access | Times Cited: 26
Explainable Generative AI (GenXAI): a survey, conceptualization, and research agenda
Johannes Schneider
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 15
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
A survey of explainable AI techniques for detection of fake news and hate speech on social media platforms
Vaishali U. Gongane, Mousami V. Munot, Alwin Anuse
Journal of Computational Social Science (2024) Vol. 7, Iss. 1, pp. 587-623
Closed Access | Times Cited: 11
Towards responsible AI: an implementable blueprint for integrating explainability and social-cognitive frameworks in AI systems
Rittika Shamsuddin, Habib Boloorchi Tabrizi, Pavan R. Gottimukkula
AI Perspectives & Advances (2025) Vol. 7, Iss. 1
Open Access | Times Cited: 1
A quantitatively interpretable model for Alzheimer’s disease prediction using deep counterfactuals
Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, et al.
NeuroImage (2025), pp. 121077-121077
Open Access | Times Cited: 1
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 | Times Cited: 1
Enhancing trust in automated 3D point cloud data interpretation through explainable counterfactuals
Andreas Holzinger, Niko Lukač, Dzemail Rozajac, et al.
Information Fusion (2025), pp. 103032-103032
Closed Access | Times Cited: 1
Predicting water quality variables using gradient boosting machine: global versus local explainability using SHapley Additive Explanations (SHAP)
Khaled Merabet, Fabio Di Nunno, Francesco Granata, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access | Times Cited: 1
LIMETREE: Consistent and Faithful Surrogate Explanations of Multiple Classes
Kacper Sokol, Peter Flach
Electronics (2025) Vol. 14, Iss. 5, pp. 929-929
Open Access | Times Cited: 1
Feature relevance XAI in anomaly detection: Reviewing approaches and challenges
Julian Tritscher, Anna Krause, Andreas Hotho
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 20
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
Calibrated explanations: With uncertainty information and counterfactuals
Helena Löfström, Tuve Löfström, Ulf Johansson, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123154-123154
Open Access | Times Cited: 6
Explainable Artificial Intelligence: Counterfactual Explanations for Risk-Based Decision-Making in Construction
Jianjiang Zhan, Weili Fang, Peter E.D. Love, et al.
IEEE Transactions on Engineering Management (2024) Vol. 71, pp. 10667-10685
Closed Access | Times Cited: 6
From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks
Antonio Luca Alfeo, Antonio G. Zippo, Vincenzo Catrambone, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 236, pp. 107550-107550
Open Access | Times Cited: 16
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges
Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-37
Open Access | Times Cited: 14
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