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:

The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts
Jaromír Šavelka, Kevin D. Ashley
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 19

Showing 19 citing articles:

Empirical legal analysis simplified: reducing complexity through automatic identification and evaluation of legally relevant factors
Morgan Gray, Jaromír Šavelka, Wesley M. Oliver, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2024) Vol. 382, Iss. 2270
Closed Access | Times Cited: 5

An IS Research Agenda on Large Language Models: Development, Applications, and Impacts on Business and Management
Michael Chau, Jennifer Xu
ACM Transactions on Management Information Systems (2025) Vol. 16, Iss. 1, pp. 1-11
Closed Access

Large language models: a new approach for privacy policy analysis at scale
David Rodríguez, Ian A. Yang, José M. Del Álamo, et al.
Computing (2024) Vol. 106, Iss. 12, pp. 3879-3903
Open Access | Times Cited: 3

Large Language Model Prompting Techniques for Advancement in Clinical Medicine
Krish Shah, Andrew Xu, Yatharth Sharma, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 17, pp. 5101-5101
Open Access | Times Cited: 3

It cannot be right if it was written by AI: on lawyers’ preferences of documents perceived as authored by an LLM vs a human
Jakub Harašta, Tereza Novotná, Jaromír Šavelka
Artificial Intelligence and Law (2024)
Closed Access | Times Cited: 3

Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response
Md Towhidul Absar Chowdhury, Soumyajit Datta, Naveen Kumar Sharma, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4664-4673
Open Access | Times Cited: 2

Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies
Jakub Drápal, Hannes Westermann, Jaromír Šavelka
SSRN Electronic Journal (2023)
Open Access | Times Cited: 5

Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies
Jakub Drápal, Hannes Westermann, Jaromír Šavelka
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 4

To What Extent Have LLMs Reshaped the Legal Domain So Far? A Scoping Literature Review
Bogdan Padiu, Radu Iacob, Traian Rebedea, et al.
Information (2024) Vol. 15, Iss. 11, pp. 662-662
Open Access | Times Cited: 1

Mapping Source Code to Software Architecture by Leveraging Large Language Models
Nils Johansson, Mauro Caporuscio, Tobias Olsson
Lecture notes in computer science (2024), pp. 133-149
Closed Access

From Mission to Market: Assessing Sector Overlap Between Nonprofits and For-Profits
Dominik S. Meier, Georg von Schnurbein
Nonprofit and Voluntary Sector Quarterly (2024)
Closed Access

Can GPT Alleviate the Burden of Annotation?
Morgan Gray, Jaromír Šavelka, Wesley M. Oliver, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 1

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