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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:

Supporting Human-AI Collaboration in Auditing LLMs with LLMs
Charvi Rastogi, Marco Túlio Ribeiro, Nicholas S. P. King, et al.
(2023), pp. 913-926
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
Zijie J. Wang, Chinmay Kulkarni, Lauren Wilcox, et al.
(2024), pp. 1-40
Open Access | Times Cited: 20
Enhancing Accuracy in Large Language Models Through Dynamic Real-Time Information Injection
Qian Ouyang, Shiyu Wang, Bing Wang
(2023)
Open Access | Times Cited: 32
Artificial Intelligence Co-Piloted Auditing
Hanchi Gu, Marco Schreyer, Kevin Moffitt, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 28
ANALYZING THE ROLE OF ARTIFICIAL INTELLIGENCE IN IT AUDIT: CURRENT PRACTICES AND FUTURE PROSPECTS
Uzoamaka Iwuanyanwu, Apeh Jonathan Apeh, Olubukola Rhoda Adaramodu, et al.
Computer Science & IT Research Journal (2023) Vol. 4, Iss. 2, pp. 54-68
Open Access | Times Cited: 24
Understanding Practices around Computational News Discovery Tools in the Domain of Science Journalism
Sachita Nishal, Jasmine Sinchai, Nicholas Diakopoulos
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW1, pp. 1-36
Open Access | Times Cited: 9
More is More: Addition Bias in Large Language Models
Luca Santagata, Cristiano De Nobili
Computers in Human Behavior Artificial Humans (2025), pp. 100129-100129
Open Access | Times Cited: 1
Artificial intelligence co-piloted auditing
Hanchi Gu, Marco Schreyer, Kevin Moffitt, et al.
International Journal of Accounting Information Systems (2024) Vol. 54, pp. 100698-100698
Closed Access | Times Cited: 8
Beyond the Chat: Executable and Verifiable Text-Editing with LLMs
Philippe Laban, Jesse Vig, Marti A. Hearst, et al.
(2024) Vol. 47, pp. 1-23
Closed Access | Times Cited: 6
Understanding Multi-Turn Toxic Behaviors in Open-Domain Chatbots
Bocheng Chen, Guangjing Wang, Hanqing Guo, et al.
(2023) Vol. 1, pp. 282-296
Open Access | Times Cited: 10
Insights into suggested Responsible AI (RAI) practices in real-world settings: a systematic literature review
Tita Alissa Bach, Magnhild Kaarstad, Elizabeth Solberg, et al.
AI and Ethics (2025)
Open Access
WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI
Wesley Hanwen Deng, Claire Wang, Hyoungmin Han, et al.
(2025)
Open Access
The AI Surge: Transfiguring Audit Profession With AI Technology
Suhaib B. Bani Kinana, Omar Arabiat
Emerald Publishing Limited eBooks (2025), pp. 43-63
Closed Access
Negotiating with LLMs: Prompt Hacks, Skill Gaps, and Reasoning Deficits
J. Schneider, Steffi Haag, Leona Chandra Kruse
Communications in computer and information science (2025), pp. 238-259
Closed Access
Multimodal generative AI for medical image interpretation
Vishwanatha M. Rao, Michael Hla, Michael Moor, et al.
Nature (2025) Vol. 639, Iss. 8056, pp. 888-896
Closed Access
Infusing Human Feedback into Intermediate Prompting Steps of Large Language Models
Wangfan Li, Claire Gendron, Carlos Toxtli
Communications in computer and information science (2025), pp. 52-64
Closed Access
Vipera: Towards systematic auditing of generative text-to-image models at scale
Yanwei Huang, Wesley Hanwen Deng, Sijia Xiao, et al.
(2025), pp. 1-7
Closed Access
Human-Centered Evaluation and Auditing of Language Models
Yu Lu Liu, Wesley Hanwen Deng, Michelle S. Lam, et al.
(2025), pp. 1-7
Closed Access
Think Together and Work Better: Combining Humans' and LLMs' Think-Aloud Outcomes for Effective Text Evaluation
S. Chu, J KIM, Mun Yong Yi
(2025), pp. 1-23
Closed Access
User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions
Xianzhe Fan, Qing Xiao, X. Y. Zhou, et al.
(2025), pp. 1-19
Closed Access
RiskRAG: A Data-Driven Solution for Improved AI Model Risk Reporting
Pooja Shikaripur Bheemasena Rao, Sanja Šćepanović, Ke Zhou, et al.
(2025), pp. 1-26
Closed Access
From Prompt Engineering to Prompt Science with Humans in the Loop
Chirag Shah
Communications of the ACM (2025)
Closed Access
A Survey on Security and Privacy of Large Multimodal Deep Learning Models: Teaching and Learning Perspective
Md. Abdur Rahman, Lamyaa Alqahtani, Amna Albooq, et al.
(2024), pp. 13-18
Closed Access | Times Cited: 3
The Impact of AI-Based Course-Recommender System on Students’ Course-Selection Decision-Making Process
Seungeon Cha, Martin Loeser, Kyoungwon Seo
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3672-3672
Open Access | Times Cited: 3
Enhancing user experience in large language models through human-centered design: Integrating theoretical insights with an experimental study to meet diverse software learning needs with a single document knowledge base
Yuchen Wang, Yin‐Shan Lin, Ruixin Huang, et al.
Computing and artificial intelligence. (2024) Vol. 2, Iss. 1, pp. 535-535
Open Access | Times Cited: 2
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation
Jessica Quaye, Alicia Parrish, Oana Inel, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 29, pp. 388-406
Open Access | Times Cited: 2
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