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:

AI Opacity and Explainability in Tort Litigation
Henry Fraser, Rhyle Simcock, Aaron J. Snoswell
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 185-196
Open Access | Times Cited: 7

Showing 7 citing articles:

Distinguishing two features of accountability for AI technologies
Zoë Porter, Annette Zimmermann, Phillip Morgan, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 9, pp. 734-736
Open Access | Times Cited: 9

Liability Regimes in the Age of AI: a Use-Case Driven Analysis of the Burden of Proof
David Fernández Llorca, Vicky Charisi, Ronan Hamon, et al.
Journal of Artificial Intelligence Research (2023) Vol. 76, pp. 613-644
Open Access | Times Cited: 3

A Vision on What Explanations of Autonomous Systems are of Interest to Lawyers
Miriam Caroline Buiten, Louise A. Dennis, Maike Schwammberger
(2023), pp. 332-336
Closed Access | Times Cited: 3

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

Role of ICT in overcoming the contemporary challenges in legal education and judicial process: An analysis through the lens of crisis situation
Adya Surbhi, Sandeep Singh, Aditya Kashyap
AIP conference proceedings (2023) Vol. 2909, pp. 120007-120007
Closed Access

Calderbank.ai: Toward the efficient resolution of civil litigation using semi-supervised machine learning and procedural mechanisms
Aaron J. Snoswell, Anthony Skelton, Dan Hunter
SSRN Electronic Journal (2022)
Closed Access

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