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:

Human-Centered Responsible Artificial Intelligence: Current & Future Trends
Mohammad Tahaei, Marios Constantinides, Daniele Quercia, et al.
(2023)
Open Access | Times Cited: 13

Showing 13 citing articles:

Human-centered design and evaluation of AI-empowered clinical decision support systems: a systematic review
Liuping Wang, Zhan Zhang, Dakuo Wang, et al.
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 19

Understanding Human-Centred AI: a review of its defining elements and a research agenda
Stefan Schmager, Ilias O. Pappas, Polyxeni Vassilakopoulou
Behaviour and Information Technology (2025), pp. 1-40
Open Access

Making Data Work Count
Srravya Chandhiramowuli, Alex Taylor, Sara Heitlinger, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW1, pp. 1-26
Open Access | Times Cited: 4

Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence
Marios Constantinides, Mohammad Tahaei, Daniele Quercia, et al.
(2024), pp. 1-4
Open Access | Times Cited: 4

Digital twin designs with generative AI: crafting a comprehensive framework for manufacturing systems
Omar Mata, Pedro Ponce, Citlaly Pérez, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access

Transforming HCI Research Cycles using Generative AI and “Large Whatever Models” (LWMs)
Passant Elagroudy, Jie Li, Kaisa Väänänen, et al.
(2024), pp. 1-5
Open Access | Times Cited: 3

Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits
Malak Sadek, Marios Constantinides, Daniele Quercia, et al.
(2024), pp. 1-20
Open Access | Times Cited: 2

User Characteristics in Explainable AI: The Rabbit Hole of Personalization?
Robert Nimmo, Marios Constantinides, Ke Zhou, et al.
(2024), pp. 1-13
Open Access | Times Cited: 1

RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles
Marios Constantinides, Edyta P. Bogucka, Daniele Quercia, et al.
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. CSCW2, pp. 1-28
Open Access | Times Cited: 1

FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing
Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, et al.
(2023)
Open Access | Times Cited: 3

Evaluating the acceptability of ethical recommendations in industry 4.0: an ethics by design approach
Marc M. Anderson, Karën Fort
AI & Society (2024) Vol. 39, Iss. 6, pp. 2989-3003
Closed Access

The X Factor: On the Relationship between User eXperience and eXplainability
Hannah Deters, Jakob Droste, Anne Heß, et al.
Nordic Conference on Human-Computer Interaction (2024) Vol. 3, pp. 1-12
Closed Access

Artificial super intelligence: Barriers and limitations
Rahul Goyal, Neha Sharma, Amanpreet Kaur
AIP conference proceedings (2024) Vol. 3232, pp. 020011-020011
Closed Access

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