Open Access Helper

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:

How Artificial Intelligence Constrains the Human Experience
Ana Valenzuela, Stefano Puntoni, Donna L. Hoffman, et al.
Journal of the Association for Consumer Research (2024) Vol. 9, Iss. 3, pp. 241-256
Closed Access | Times Cited: 9

Showing 9 citing articles:

Chatbot dynamics: trust, social presence and customer satisfaction in AI-driven services
Badrea Al Oraini
Deleted Journal (2025)
Open Access
Health Data Privacy and Consumer Norm Concessions: Negotiating Privacy Through Tiered Transparency
Courtney Nations Azzari, Maureen Bourassa, Kristen Walker, et al.
Journal of the Association for Consumer Research (2025)
Closed Access
Empowering GenAI stakeholders
Erik Hermann, Stefano Puntoni
Journal of the Academy of Marketing Science (2025)
Closed Access
Unveiling the adverse effects of artificial intelligence on financial decisions via the AI-IMPACT model
Wendy De La Rosa, Christopher J. Bechler
Current Opinion in Psychology (2024) Vol. 58, pp. 101843-101843
Open Access | Times Cited: 2
Me, Myself, and My AI: How artificial intelligence classification failures threaten consumers’ self-expression
Ana Rita Gonçalves, Diego Costa Pinto, Héctor Gonzalez Jimenez, et al.
Journal of Business Research (2024) Vol. 186, pp. 114974-114974
Open Access | Times Cited: 2
AI as a Convivial Tool
Aric Rindfleisch, Minchang Kim, Erica Ji Hyun Lee
Journal of Macromarketing (2024)
Closed Access | Times Cited: 1
Averse to what: Consumer aversion to algorithmic labels, but not their outputs?
Shwetha Mariadassou, Anne-Kathrin Klesse, Johannes Boegershausen
Current Opinion in Psychology (2024) Vol. 58, pp. 101839-101839
Open Access
Reducing prejudice with counter‐stereotypical AI
Erik Hermann, Julian De Freitas, Stefano Puntoni
Consumer Psychology Review (2024)
Closed Access
Alphabetical Diaries and Autobiographical Memory in the Digital Age
Sanaz Talaifar
Psychological Inquiry (2024) Vol. 35, Iss. 2, pp. 141-144
Closed Access
“A How-To-Guide For Bringing Artificial Intelligence Into Life In Your Marketing Curriculum: A Blueprint For Student Learning And Success”
Victor A. Barger, Pavan Rao Chennamaneni, Andrew J. Dahl, et al.
Marketing Education Review (2024), pp. 1-10
Closed Access
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