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:

CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
Dan Hendrycks, Collin Burns, Anya Chen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1565

A Survey on Evaluation of Large Language Models
Yupeng Chang, Xu Wang, Jindong Wang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-45
Open Access | Times Cited: 731

Lawformer: A pre-trained language model for Chinese legal long documents
Chaojun Xiao, Xueyu Hu, Zhiyuan Liu, et al.
AI Open (2021) Vol. 2, pp. 79-84
Open Access | Times Cited: 153

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Ilias Chalkidis, Abhik Jana, Dirk Hartung, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 76

Legalbench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Neel Guha, Julian Nyarko, Daniel E. Ho, et al.
SSRN Electronic Journal (2023)
Open Access | Times Cited: 56

DEMix Layers: Disentangling Domains for Modular Language Modeling
Suchin Gururangan, Mike Lewis, Ari Holtzman, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 47

Unlocking Practical Applications in Legal Domain
Jaromír Šavelka
(2023), pp. 447-451
Open Access | Times Cited: 24

A large language model and denoising diffusion framework for targeted design of microstructures with commands in natural language
N.P. Kartashov, Nikolaos N. Vlassis
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117742-117742
Open Access | Times Cited: 1

Agriculture Technology Providers' Perspectives of Data Rights and Obligations in Agriculture Reflected by Farm Data Value Chain
Zhuang Yu, Ethan Hou, Jean Pompeo, et al.
Sustainable Futures (2025), pp. 100585-100585
Open Access | Times Cited: 1

MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
Ilias Chalkidis, Manos Fergadiotis, Ion Androutsopoulos
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 56

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Ilias Chalkidis, Abhik Jana, Dirk Hartung, et al.
SSRN Electronic Journal (2021)
Open Access | Times Cited: 50

LEVEN: A Large-Scale Chinese Legal Event Detection Dataset
Feng Yao, Chaojun Xiao, Xiaozhi Wang, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022)
Open Access | Times Cited: 33

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: 22

A multi-task learning framework for politeness and emotion detection in dialogues for mental health counselling and legal aid
Priyanshu Priya, Mauajama Firdaus, Asif Ekbal
Expert Systems with Applications (2023) Vol. 224, pp. 120025-120025
Closed Access | Times Cited: 19

ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Yuta Koreeda, Christopher D. Manning
(2021), pp. 1907-1919
Open Access | Times Cited: 35

Exploring the state of the art in legal QA systems
Abdelrahman Abdallah, Bhawna Piryani, Adam Jatowt
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 15

Construction and Evaluation of a High-Quality Corpus for Legal Intelligence Using Semiautomated Approaches
Haihua Chen, Lavinia F. Pieptea, Junhua Ding
IEEE Transactions on Reliability (2022) Vol. 71, Iss. 2, pp. 657-673
Open Access | Times Cited: 20

A Statutory Article Retrieval Dataset in French
Antoine Louis, Gerasimos Spanakis
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 18

A comprehensive overview of Generative AI (GAI): Technologies, applications, and challenges
Zhijun Zhang, Jian Zhang, Xiaodong Zhang, et al.
Neurocomputing (2025), pp. 129645-129645
Closed Access

Enhancing Indian legal judgment classification with embeddings, feature selection, and ensemble strategies
Priyanka Prabhakar, Peeta Basa Pati
Artificial Intelligence and Law (2025)
Closed Access

A machine learning-based approach to identify unlawful practices in online terms of service: analysis, implementation and evaluation
Alfonso Guarino, Nicola Lettieri, Delfina Malandrino, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 24, pp. 17569-17587
Open Access | Times Cited: 22

LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK Case Law Dataset
Ahmed Izzidien, Holli Sargeant, Felix Steffek
SSRN Electronic Journal (2024)
Open Access | Times Cited: 3

The Cambridge Law Corpus: A Dataset for Legal AI Research
Andreas Östling, Holli Sargeant, Huiyuan Xie, et al.
SSRN Electronic Journal (2024)
Open Access | Times Cited: 3

Taking Training Seriously: Human Guidance and Management-Based Regulation of Artificial Intelligence
Colton R. Crum, Cary Coglianese
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 1, pp. 1-9
Closed Access | Times Cited: 3

MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding
Steven Wang, Antoine Scardigli, Leonard Tang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 16369-16382
Open Access | Times Cited: 8

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