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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:

Large language models in law: A survey
Jinqi Lai, Wensheng Gan, Jiayang Wu, et al.
AI Open (2024)
Open Access | Times Cited: 14

Showing 14 citing articles:

When LLMs meet cybersecurity: a systematic literature review
Jie Zhang, H. Bu, Hui Wen, et al.
Cybersecurity (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 2
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering
Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, et al.
Lecture notes in computer science (2024), pp. 445-460
Closed Access | Times Cited: 10
CoLE: A collaborative legal expert prompting framework for large language models in law
Bo Li, Shuang Fan, Shaolin Zhu, et al.
Knowledge-Based Systems (2025), pp. 113052-113052
Closed Access
Integrating large language model and digital twins in the context of industry 5.0: Framework, challenges and opportunities
Chong Chen, K Zhao, Jiewu Leng, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 94, pp. 102982-102982
Closed Access
SDD-LawLLM: Advancing Intelligent Legal Systems Through Synthetic Data-Driven Fine-Tuning of Large Language Models
Hanjie Ma, Yinying Lu, Zhengdong Xiao, et al.
Electronics (2025) Vol. 14, Iss. 4, pp. 742-742
Open Access
Federated Learning and Parallel Prompt Scheduling Strategies for Large Language Models
G.D. Lv, Bruce Gu, Xiaocong Jia, et al.
Lecture notes in computer science (2025), pp. 317-326
Closed Access
Legal large language models (LLMs): legal dynamos or “fancifully packaged ChatGPT”?
Fife Ogunde
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access
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
A Scoping Review of Large Language Models: Architecture and Applications
Hicham Moujahid, Karima Boutahar, Oussama El Gannour, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
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
A Large Language Model Agent Based Legal Assistant for Governance Applications
Marios Evangelos Mamalis, Evangelos Kalampokis, Fotios Fitsilis, et al.
Lecture notes in computer science (2024), pp. 286-301
Closed Access
A Systematic Comparison Between Open- and Closed-Source Large Language Models in the Context of Generating GDPR-Compliant Data Categories for Processing Activity Records
Michael J. Schwerin, Manfred Reichert
Future Internet (2024) Vol. 16, Iss. 12, pp. 459-459
Open Access
How do judges use large language models? Evidence from Shenzhen
John Zhuang Liu, Xueyao Li
The Journal of Legal Analysis (2024) Vol. 16, Iss. 1, pp. 235-262
Open Access
LexSage: Multi-Task Optimization in Legal Large Language Model Applications
Lin Han, Yang Zhang, Weijun Gao, et al.
(2024), pp. 325-330
Closed Access
Artificial Intelligence for Academic Support in Law Schools and Universities
Michael D. Murray
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 1
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