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:

Preventing deception with explanation methods using focused sampling
Domen Vreš, Marko Robnik–Šikonja
Data Mining and Knowledge Discovery (2022) Vol. 38, Iss. 5, pp. 3262-3307
Closed Access | Times Cited: 8

Showing 8 citing articles:

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: 37

Explainable and interpretable machine learning and data mining
Martin Atzmueller, Johannes Fürnkranz, Tomáš Kliegr, et al.
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 5, pp. 2571-2595
Open Access | Times Cited: 6

A Model-Agnostic Feature Attribution Approach to Magnetoencephalography Predictions Based on Shapley Value
Yongdong Fan, Haokun Mao, Qiong Li
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 5, pp. 2524-2535
Closed Access | Times Cited: 9

Exploring explainable AI in the tax domain
Łukasz Górski, Błażej Kuźniacki, Marco Almada, et al.
Artificial Intelligence and Law (2024)
Open Access | Times Cited: 1

Unfooling SHAP and SAGE: Knockoff Imputation for Shapley Values
Kristin Blesch, Marvin N. Wright, David Watson
Communications in computer and information science (2023), pp. 131-146
Open Access | Times Cited: 3

Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans
Jon Vadillo, Roberto Santana, José A. Lozano
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024)
Open Access

Nullius in Explanans: an ethical risk assessment for explainable AI
Luca Nannini, Diletta Huyskes, Enrico Panai, et al.
Ethics and Information Technology (2024) Vol. 27, Iss. 1
Closed Access

Developing guidelines for functionally-grounded evaluation of explainable artificial intelligence using tabular data
Mythreyi Velmurugan, Chun Ouyang, Yue Xu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109772-109772
Open Access

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