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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:

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 26-50 of 51 citing articles:

Diffraction, Creativity and AI: Towards New Methods for Design Research
Charlotte Bird
(2025), pp. 1-6
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
Initiating the Global AI Dialogues: Laypeople Perspectives on the Future Role of genAI in Society from Nigeria, Germany and Japan
Michel Hohendanner, Chiara Ullstein, Bukola A. Onyekwelu, et al.
(2025), pp. 1-35
Closed Access
How Do People Develop Folk Theories of Generative AI Text-to-Image Models? A Qualitative Study on How People Strive to Explain and Make Sense of GenAI
Chiara Di Lodovico, Federico Torrielli, Luigi Di, et al.
International Journal of Human-Computer Interaction (2025), pp. 1-25
Closed Access
Privacy Perceptions of Custom GPTs by Users and Creators
Rongjun Ma, Caterina Maidhof, Juan Carlos Carrillo, et al.
(2025), pp. 1-18
Closed Access
Exploring text-to-image application in architectural design: insights and implications
Zaina M. Albaghajati, Donia M. Bettaieb, Raif Malek
Architecture Structures and Construction (2023) Vol. 3, Iss. 4, pp. 475-497
Open Access | Times Cited: 9
Uncertainty in Visual Generative AI
Kara Combs, Adam Moyer, Trevor Bihl
Algorithms (2024) Vol. 17, Iss. 4, pp. 136-136
Open Access | Times Cited: 3
Regulating Generative AI: Ethical Considerations and Explainability Benchmarks
C.K. Luk, Hoi-Lam Chung, Wai-Kuen Yim, et al.
(2024)
Open Access | Times Cited: 2
IMMA: Immunizing Text-to-Image Models Against Malicious Adaptation
Amber Yijia Zheng, Raymond A. Yeh
Lecture notes in computer science (2024), pp. 458-475
Closed Access | Times Cited: 2
Exploring the Use of Abusive Generative AI Models on Civitai
Yiluo Wei, Yiming Zhu, Pan Hui, et al.
(2024), pp. 6949-6958
Closed Access | Times Cited: 2
Harnessing federated generative learning for green and sustainable Internet of Things
Yuanhang Qi, M. Shamim Hossain
Journal of Network and Computer Applications (2023) Vol. 222, pp. 103812-103812
Open Access | Times Cited: 5
Future Shock: Generative AI and the International AI Policy and Governance Crisis
David Leslie, Antonella Perini
Harvard data science review (2024), Iss. Special Issue 5
Open Access | Times Cited: 1
Mitigating the Risks of Generative AI in Government through Algorithmic Governance
Mark Esposito, Terence Tse
(2024), pp. 605-609
Closed Access | Times Cited: 1
Is pen-to-paper the buggy whip of design? Assessing the use of ai tools for design sketching
Alexander “Freddie” Holliman
Proceedings of DRS (2024)
Closed Access | Times Cited: 1
Open-Source Text-to-Image Models: Evaluation using Metrics and Human Perception
Aylin Yamac, Dilan Genc, Esra Zaman, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2024), pp. 1659-1664
Closed Access | Times Cited: 1
A DSL for Testing LLMs for Fairness and Bias
Sergio Morales, Robert Clarisó, Jordi Cabot
(2024) Vol. 21, pp. 203-213
Closed Access | Times Cited: 1
Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp
Rachel Hong, William S. Agnew, Tadayoshi Kohno, et al.
(2024), pp. 1-17
Closed Access | Times Cited: 1
Contesting efficacy: Tensions between risk and inclusion in computer vision technology
Morgan Klaus Scheuerman
Future Humanities (2024) Vol. 2, Iss. 1-2
Closed Access
Bias by Default.: Neocolonial Visual Vocabularies in AI Image Generating Design Practices.
Fábio de Almeida, Sónia Rafael
(2024), pp. 1-8
Open Access
Auditing Image-based NSFW Classifiers for Content Filtering
Warren Leu, Yuta Nakashima, Noa García
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 35, pp. 1163-1173
Open Access
Game Theory Approach to Identifying Deception in Large Language Models
Tyler Di Maggio, Robert Santiago
(2024)
Open Access
First Year CS Students Exploring And Identifying Biases and Social Injustices in Text-to-Image Generative AI
Mikko Apiola, Henriikka Vartiainen, Matti Tedre
(2024), pp. 485-491
Closed Access
EvilPromptFuzzer: generating inappropriate content based on text-to-image models
Juntao He, Haoran Dai, Runqi Sui, et al.
Cybersecurity (2024) Vol. 7, Iss. 1
Open Access
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value Optimization
X. F. Wang, Xiaoyuan Yi, Xing Xie, et al.
(2024), pp. 3558-3567
Open Access
Exploiting LLMs for E-Learning: A Cybersecurity Perspective on AI-Generated Tools in Education
Danilo Greco, Luca Chianese
(2024), pp. 237-242
Closed Access

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