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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:

Towards a multi-stakeholder value-based assessment framework for algorithmic systems
Mireia Yurrita, Dave Murray-Rust, Agathe Balayn, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 535-563
Open Access | Times Cited: 20

Showing 20 citing articles:

A Comparative Analysis to Evaluate Bias and Fairness Across Large Language Models with Benchmarks
陳文意, 黃兆明
(2024)
Open Access | Times Cited: 20
Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability
Mireia Yurrita, Tim Draws, Agathe Balayn, et al.
(2023), pp. 1-21
Open Access | Times Cited: 31
Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows
Himanshu Verma, Jakub Mlynář, Roger Schaer, et al.
(2023), pp. 1-19
Open Access | Times Cited: 19
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks
Hao-Ping Lee, Yu‐Ju Yang, Thomas Serban Von Davier, et al.
(2024), pp. 1-19
Open Access | Times Cited: 6
AI-Driven risk assessment: Revolutionizing audit planning and execution
Ebere Ruth Onwubuariri, Beatrice Oyinkansola Adelakun, Omolara Patricia Olaiya, et al.
Finance & Accounting Research Journal (2024) Vol. 6, Iss. 6, pp. 1069-1090
Open Access | Times Cited: 6
Trust in AI-assisted Decision Making: Perspectives from Those Behind the System and Those for Whom the Decision is Made
Oleksandra Vereschak, Fatemeh Alizadeh, Gilles Bailly, et al.
(2024), pp. 1-14
Open Access | Times Cited: 5
Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study
Nicolas Scharowski, Michaela Benk, Swen J. Kühne, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 248-260
Open Access | Times Cited: 11
AI and ethical accounting: Navigating challenges and opportunities
Beatrice Oyinkansola Adelakun, Tomiwa Gabriel Majekodunmi, Oluwole Stephen Akintoye
International Journal of Advanced Economics (2024) Vol. 6, Iss. 6, pp. 224-241
Open Access | Times Cited: 3
Grasping AI: experiential exercises for designers
Dave Murray-Rust, Maria Luce Lupetti, Iohanna Nicenboim, et al.
AI & Society (2023) Vol. 39, Iss. 6, pp. 2891-2911
Open Access | Times Cited: 8
Enhancing audit accuracy: The role of AI in detecting financial anomalies and fraud
Bernard Owusu Antwi, Beatrice Oyinkansola Adelakun, Damilola Temitayo Fatogun, et al.
Finance & Accounting Research Journal (2024) Vol. 6, Iss. 6, pp. 1049-1068
Open Access | Times Cited: 2
Unpacking Human-AI interactions: From Interaction Primitives to a Design Space
Konstantinos Tsiakas, Dave Murray-Rust
ACM Transactions on Interactive Intelligent Systems (2024) Vol. 14, Iss. 3, pp. 1-51
Open Access | Times Cited: 1
Integrating machine learning algorithms into audit processes: Benefits and challenges
Beatrice Oyinkansola Adelakun, Damilola Temitayo Fatogun, Tomiwa Gabriel Majekodunmi, et al.
Finance & Accounting Research Journal (2024) Vol. 6, Iss. 6, pp. 1000-1016
Open Access | Times Cited: 1
Towards Sustainability of AI – Identifying Design Patterns for Sustainable Machine Learning Development
Daniel Leuthe, Tim Meyer-Hollatz, Tobias Plank, et al.
Information Systems Frontiers (2024)
Open Access | Times Cited: 1
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection
Philippe Lammerts, Philip Lippmann, Yen-Chia Hsu, et al.
(2023), pp. 834-844
Open Access | Times Cited: 2
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
Tianqi Kou
SSRN Electronic Journal (2024)
Open Access
Making It Possible for the Auditing of AI: A Systematic Review of AI Audits and AI Auditability
Yueqi Li, Sanjay Goel
Information Systems Frontiers (2024)
Closed Access
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
Tianqi Kou
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 199, pp. 1002-1013
Open Access
Identifying Characteristics of Reflection Triggers in Data Science Ethics Education
Diane Linke, Claudia Müller-Birn
Proceedings of Mensch und Computer 2019 (2024), pp. 466-473
Closed Access
Gender Bias in AI
Amna Kausar, Afrah Kausar, Shravani Kulkarni, et al.
Advances in human resources management and organizational development book series (2024), pp. 87-106
Closed Access
EthicAmanuensis: supporting machine learning practitioners making and recording ethical decisions
Dave Murray-Rust, Konstantinos Tsiakas
(2022), pp. 1291-1295
Closed Access | Times Cited: 1
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