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:

Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK
Luca Nannini, Agathe Balayn, Adam Leon Smith
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1198-1212
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A Comprehensive Survey of Deep Learning Approaches in Image Processing
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2025) Vol. 25, Iss. 2, pp. 531-531
Open Access | Times Cited: 1

Artificial Intelligence (AI)-driven approach to climate action and sustainable development
Haein Cho, Emmanuel Ackom
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1

Skin, scalpel and the silicon chip: a systematic review on the accuracy, bias and data governance of artificial intelligence in dermatology, minimally invasive aesthetics, aesthetic, plastic and reconstructive surgery
Eqram Rahman, Shabnam Sadeghi Esfahlani, Parinitha Rao, et al.
European Journal of Plastic Surgery (2025) Vol. 48, Iss. 1
Closed Access | Times Cited: 1

The ethics of national artificial intelligence plans: an empirical lens
Manpriya Dua, Jai Singh, Amarda Shehu
AI and Ethics (2025)
Open Access | Times Cited: 1

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

AI literacy guidelines and policies for academic libraries: A scoping review
Muhammad Yousuf Ali, Joanna Richardson
IFLA Journal (2025)
Closed Access

Law and the Emerging Political Economy of Algorithmic Audits
Petros Terzis, Michael Veale, Noëlle Gaumann
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 24, pp. 1255-1267
Open Access | Times Cited: 3

Mapping the landscape of ethical considerations in explainable AI research
Luca Nannini, Marta Marchiori Manerba, Isacco Beretta
Ethics and Information Technology (2024) Vol. 26, Iss. 3
Open Access | Times Cited: 3

Unpacking Human-AI Interaction in Safety-Critical Industries: A Systematic Literature Review
Tita Alissa Bach, Jenny K. Kristiansen, Aleksandar Babić, et al.
IEEE Access (2024) Vol. 12, pp. 106385-106414
Open Access | Times Cited: 3

Law and the Emerging Political Economy of Algorithmic Audits
Petros Terzis, Michael Veale, Noëlle Gaumann
(2024)
Open Access | Times Cited: 2

AI in Governance and Policy Making
Ashish K Saxena
International Journal of Science and Research (IJSR) (2024) Vol. 13, Iss. 5, pp. 1218-1223
Open Access | Times Cited: 2

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 | Times Cited: 1

Human‐centered explainable artificial intelligence: An Annual Review of Information Science and Technology (ARIST) paper
Michael Ridley
Journal of the Association for Information Science and Technology (2024)
Open Access | Times Cited: 1

Decoding persuasion: a survey on ML and NLP methods for the study of online persuasion
Davide Bassi, Søren Fomsgaard, Martín Pereira-Fariña
Frontiers in Communication (2024) Vol. 9
Open Access | Times Cited: 1

General context and relevant public datasets available for improving pathways in Paediatric Cancer applying Artificial Intelligence. A review
Gustavo Hernández-Peñaloza, Silvia Uribe, Francisco Moreno, et al.
EJC Paediatric Oncology (2024) Vol. 4, pp. 100196-100196
Closed Access | Times Cited: 1

Unpacking Human-AI Interaction in Safety-Critical Industries: A Systematic Literature Review
Tita Alissa Bach, Jenny K. Kristiansen, Aleksandar Babić, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2

Human Centricity in the Relationship Between Explainability and Trust in AI
Zahra Atf, Peter R. Lewis
IEEE Technology and Society Magazine (2023) Vol. 42, Iss. 4, pp. 66-76
Open Access | Times Cited: 2

A Genealogical Approach to Algorithmic Bias
Marta Ziosi, David Watson, Luciano Floridi
SSRN Electronic Journal (2024)
Open Access

The Right to Explanation in AI: In a Lonely Place (Preprint)
Alycia Noë, Ma’n H. Zawati
(2024)
Closed Access

Quality over quantity? The role of data quality and uncertainty for AI in surgery
Matjaž Jogan, Sruthi Kurada, Shubha Vasisht, et al.
Global Surgical Education - Journal of the Association for Surgical Education (2024) Vol. 3, Iss. 1
Open Access

A Requirements Model for AI Algorithms in Functional Safety-Critical Systems with an Explainable Self-Enforcing Network from a Developer Perspective
Christina Klüver, Anneliesa Greisbach, Michael Kindermann, et al.
Security and Safety (2024) Vol. 3, pp. 2024020-2024020
Open Access

Explanation needs and ethical demands: unpacking the instrumental value of XAI
Suzana Alpsancar, Heike M. Buhl, Tobias Matzner, et al.
AI and Ethics (2024)
Open Access

Securing the AI Frontier: Urgent Ethical and Regulatory Imperatives for AI-Driven Cybersecurity
Vikram Kulothungan
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 5602-5609
Closed Access

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