OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Right to be forgotten in the Era of large language models: implications, challenges, and solutions
Dawen Zhang, Pamela Finckenberg-Broman, Thong Hoang, et al.
AI and Ethics (2024)
Open Access | Times Cited: 10

Showing 10 citing articles:

The Frontier of Data Erasure: A Survey on Machine Unlearning for Large Language Models
Youyang Qu, Ming Ding, Nan Sun, et al.
Computer (2025) Vol. 58, Iss. 1, pp. 45-57
Closed Access | Times Cited: 3

Rethinking machine unlearning for large language models
Sijia Liu, Yuanshun Yao, Jinghan Jia, et al.
Nature Machine Intelligence (2025)
Closed Access | Times Cited: 2

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: 1

Revolutionizing Healthcare with Generative Artificial Intelligence Technologies
Azadeh Zamanifar, Amirfarhad Farhadi, Azadeh Zamanifar
(2025), pp. 189-221
Closed Access

AI Anxiety: a comprehensive analysis of psychological factors and interventions
Jeff J. H. Kim, Jun Young Soh, Shrinidhi Kadkol, et al.
AI and Ethics (2025)
Closed Access

Opportunities and Challenges of Generative-AI in Finance
Akshar Prabhu Desai, Tejasvi Ravi, Mohammad Luqman, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 4913-4920
Closed Access | Times Cited: 2

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

Why the generative AI models do not like the right to be forgotten: a study of proportionality of identified limitations
Anna Popowicz-Pazdej
Przegląd Prawniczy Uniwersytetu im Adama Mickiewicza (2023) Vol. 15, pp. 217-239
Open Access

Page 1

Scroll to top