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:

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: 15

Showing 15 citing articles:

Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts
Georg Starke, Felix Gille, Alberto Termine, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e56306-e56306
Open Access | Times Cited: 2

Trustworthiness Assurance Assessment for High-Risk AI-Based Systems
Georg Stettinger, Patrick Weissensteiner, Siddartha Khastgir
IEEE Access (2024) Vol. 12, pp. 22718-22745
Open Access | Times Cited: 10

Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How
Abdallah El Ali, Karthikeya Puttur Venkatraj, Sophie Morosoli, et al.
(2024), pp. 1-11
Open Access | Times Cited: 10

Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment
Arianna Manzini, Geoff Keeling, Nahema Marchal, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024)
Open Access | Times Cited: 5

"It's Not the AI's Fault Because It Relies Purely on Data": How Causal Attributions of AI Decisions Shape Trust in AI Systems
Saumya Pareek, Sarah Schömbs, Eduardo Velloso, et al.
(2025), pp. 1-18
Closed Access

“Model Cards for Model Reporting” in 2024: Reclassifying Category of Ethical Considerations in Terms of Trustworthiness and Risk Management
DeBrae Kennedy-Mayo, Jake Gord
Lecture notes in networks and systems (2025), pp. 179-196
Closed Access

Implementing and Evaluating Trustworthy Conversational Agents for Children
Marina Escobar-Planas, Roberto Ruiz-Sánchez, Pedro Frau-Amar, et al.
Communications in computer and information science (2025), pp. 476-495
Closed Access

Context-specific certification of AI systems: a pilot in the financial industry
Kendall Brogle, Emma Kallina, Holli Sargeant, et al.
AI and Ethics (2025)
Open Access

How Do We Assess the Trustworthiness of AI? Introducing the Trustworthiness Assessment Model (TrAM)
Nadine Schlicker, Kevin Baum, Alarith Uhde, et al.
Computers in Human Behavior (2025), pp. 108671-108671
Closed Access

Meaningful work in peril? Preserving self-efficacy in the age of artificial intelligence
Helen M. E. Winter, A. Marco Turk, Sebastian Winter
AI and Ethics (2025)
Closed Access

Fairness Certification for Natural Language Processing and Large Language Models
Vincent Freiberger, Erik Buchmann
Lecture notes in networks and systems (2024), pp. 606-624
Closed Access | Times Cited: 2

Using labels to limit AI misuse in health
Elaine O. Nsoesie, Marzyeh Ghassemi
Nature Computational Science (2024) Vol. 4, Iss. 9, pp. 638-640
Closed Access | Times Cited: 1

Justifying Our Credences in the Trustworthiness of AI Systems: A Reliabilistic Approach
Andrea Ferrario
Science and Engineering Ethics (2024) Vol. 30, Iss. 6
Open Access

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