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:

Typology of Risks of Generative Text-to-Image Models
Charlotte Bird, Eddie L. Ungless, Atoosa Kasirzadeh
(2023), pp. 396-410
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Design Principles for Generative AI Applications
Justin D. Weisz, Jessica He, Michael Müller, et al.
(2024), pp. 1-22
Open Access | Times Cited: 54

Debate Chatbots to Facilitate Critical Thinking on YouTube: Social Identity and Conversational Style Make A Difference
Thitaree Tanprasert, Sidney Fels, Luanne Sinnamon, et al.
(2024), pp. 1-24
Open Access | Times Cited: 16

Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
Thilo Hagendorff
Minds and Machines (2024) Vol. 34, Iss. 4
Open Access | Times Cited: 16

Two types of AI existential risk: decisive and accumulative
Atoosa Kasirzadeh
Philosophical Studies (2025)
Open Access | Times Cited: 2

Generative AI in Creative Practice: ML-Artist Folk Theories of T2I Use, Harm, and Harm-Reduction
Renee Shelby, Shalaleh Rismani, Negar Rostamzadeh
(2024), pp. 1-17
Open Access | Times Cited: 8

Revolutionizing Visuals: The Role of Generative AI in Modern Image Generation
Gaurang Bansal, Aditya Nawal, Vinay Chamola, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024) Vol. 20, Iss. 11, pp. 1-22
Open Access | Times Cited: 6

How widespread use of generative AI for images and video can affect the environment and the science of ecology
Matthias C. Rillig, India Mansour, Stefan Hempel, et al.
Ecology Letters (2024) Vol. 27, Iss. 3
Open Access | Times Cited: 5

Artists and AI: Creative Interactions and Tensions
Charlotte Bird
(2024), pp. 1-6
Open Access | Times Cited: 5

Generative AI: Overview, Economic Impact, and Applications in Asset Management
Martin Luk
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 11

Situating the social issues of image generation models in the model life cycle: a sociotechnical approach
Amelia Katirai, Noa García, Kazuki Ide, et al.
AI and Ethics (2024)
Closed Access | Times Cited: 4

Cuando el cómic se desborda: la exploración formal de Ilan Manouach y Martín Vitaliti
Álvaro Pons Moreno, Noelia Ibarra Rius
Norba Revista de Arte (2025), Iss. 44, pp. 139-160
Open Access

AI Tools and Techniques for Strategic Communication: Images
Karen E. Sutherland
(2025), pp. 201-230
Closed Access

What does an AI-generated “cancer survivor” look like? An analysis of images generated by text-to-image tools
Nicole Senft, Anna Gaysynsky, Irina A. Ileş, et al.
Journal of Cancer Survivorship (2025)
Open Access

The Value of Creativity: Human Produced Art vs. AI-Generated Art
Jennifer Hall, Damian Schofield
Art and Design Review (2025) Vol. 13, Iss. 01, pp. 65-88
Open Access

User Issues and Concerns in Generative AI: A Mixed-Methods Analysis of App Reviews
Vanessa Bracamonte, Sascha Loebner, Frédéric Tronnier, et al.
Communications in computer and information science (2025), pp. 304-322
Closed Access

Backdoor Training Paradigm in Generative Adversarial Networks
Huangji Wang, Fan Cheng
Entropy (2025) Vol. 27, Iss. 3, pp. 283-283
Open Access

Exploring the Integration of Generative AI in Advertising Agencies: A Co-Creative Process Model for Human–AI Collaboration
Wen Cui, Martin J. Liu, Ruizhi Yuan
Journal of Advertising Research (2025), pp. 1-23
Closed Access

"Till I can get my satisfaction": Open Questions in the Public Desire to Punish AI
Eddie L. Ungless, Björn Roß, Zachary Horne
(2025), pp. 1-8
Closed Access

Too Good to be False: How Photorealism Promotes Susceptibility to Misinformation
Eunchae Jang, Hui Min Lee, Sangwook Lee, et al.
(2025), pp. 1-8
Closed Access

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