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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.

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Showing 1-25 of 33 citing articles:

A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
Yifan Yao, Jinhao Duan, Kaidi Xu, et al.
High-Confidence Computing (2024) Vol. 4, Iss. 2, pp. 100211-100211
Open Access | Times Cited: 243
A survey of GPT-3 family large language models including ChatGPT and GPT-4
Katikapalli Subramanyam Kalyan
Natural Language Processing Journal (2023) Vol. 6, pp. 100048-100048
Open Access | Times Cited: 129
Document-Level Machine Translation with Large Language Models
Longyue Wang, Chenyang Lyu, Tianbo Ji, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 78
Prompting PaLM for Translation: Assessing Strategies and Performance
David Vilar, Markus Freitag, Colin Cherry, et al.
(2023)
Open Access | Times Cited: 50
On protecting the data privacy of Large Language Models (LLMs) and LLM agents: A literature review
Biwei Yan, Kun Li, Minghui Xu, et al.
High-Confidence Computing (2025), pp. 100300-100300
Open Access | Times Cited: 5
Artificial intelligence and posthumanist translation: ChatGPT versus the translator
Tong King Lee
Applied Linguistics Review (2023) Vol. 15, Iss. 6, pp. 2351-2372
Closed Access | Times Cited: 40
Exploring Human-Like Translation Strategy with Large Language Models
Zhiwei He, Tian Liang, Wenxiang Jiao, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 229-246
Open Access | Times Cited: 17
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly
Yifan Yao, Jinhao Duan, Kaidi Xu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 17
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: 6
TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties
Karima Kadaoui, Samar Mohamed Magdy, Abdul Waheed, et al.
(2023), pp. 52-75
Open Access | Times Cited: 12
Enhancing Simplified Chinese Poetry Comprehension in LLaMA-7B: A Novel Approach to Mimic Mixture of Experts Effect
Yiqun Zhang, Xin Chen
Research Square (Research Square) (2023)
Open Access | Times Cited: 12
The Evolution of Large Language Model: Models, Applications and Challenges
B Sindhu, R P Prathamesh, M B Sameera, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 4
Constructing formal models of cryptographic protocols from Alice&Bob style specifications via LLM
Qiang Li, Han Ji-hong, Lin Yuan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
DeGPT: Optimizing Decompiler Output with LLM
Peiwei Hu, Ruigang Liang, Kai Chen
(2024)
Open Access | Times Cited: 3
Boundaries and Future Trends of ChatGPT Based on AI and Security Perspectives
Albandari Alsumayt, Zeyad M. Alfawaer, Nahla El-Haggar, et al.
HighTech and Innovation Journal (2024) Vol. 5, Iss. 1, pp. 129-142
Open Access | Times Cited: 3
Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation
Ran Zhang, Jihed Ouni, Steffen Eger
Computational Linguistics (2024) Vol. 50, Iss. 3, pp. 1001-1047
Open Access | Times Cited: 3
A Framework for Exploring Player Perceptions of LLM-Generated Dialogue in Commercial Video Games
Nader Akoury, Qian Yang, Mohit Iyyer
(2023)
Open Access | Times Cited: 7
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level
Daniel Deutsch, Juraj Juraska, Mara Finkelstein, et al.
(2023), pp. 996-1013
Open Access | Times Cited: 7
Cost-Efficient Prompt Engineering for Unsupervised Entity Resolution
Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
A survey of context in neural machine translation and its evaluation
Sheila Castilho, Rebecca Knowles
Natural language processing. (2024), pp. 1-31
Open Access | Times Cited: 2
Enhancing Document-Level Translation of Large Language Model Via Translation Mixed-Instructions
Yachao Li, Junhui Li, Jing Jiang, et al.
(2024)
Open Access | Times Cited: 2
What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing
Chenyang Yang, Yao Hong, Grace A. Lewis, et al.
(2024), pp. 306-318
Closed Access | Times Cited: 1
Challenges in Context-Aware Neural Machine Translation
Linghao Jin, Jacqueline He, Jonathan May, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 15246-15263
Open Access | Times Cited: 2
Data Race Detection Using Large Language Models
Le Chen, Xianzhong Ding, Murali Emani, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Expert Evaluation of Export Control-Related Question Answering Capabilities of LLMs
Rafał Rzepka, Shinji Muraji, Akihiko Obayashi
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2023) Vol. 2935, pp. 1-6
Closed Access | Times Cited: 1
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