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:

Exploring the Role of Local and Global Explanations in Recommender Systems
Marissa Radensky, Doug Downey, Kyle Lo, et al.
CHI Conference on Human Factors in Computing Systems Extended Abstracts (2022), pp. 1-7
Open Access | Times Cited: 12

Showing 12 citing articles:

Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 4, pp. 2104-2122
Open Access | Times Cited: 62

An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission
Luis M. de Campos, Juan M. Fernández‐Luna, Juan F. Huete
User Modeling and User-Adapted Interaction (2024)
Open Access | Times Cited: 4

What Is the Focus of XAI in UI Design? Prioritizing UI Design Principles for Enhancing XAI User Experience
Dian Lei, Yao He, Jianyou Zeng
Lecture notes in computer science (2024), pp. 219-237
Closed Access | Times Cited: 1

Transparency in the Wild: Navigating Transparency in a Deployed AI System to Broaden Need-Finding Approaches
Violet Turri, Katelyn Morrison, Katherine-Marie Robinson, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024), pp. 1494-1514
Open Access | Times Cited: 1

FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs
Harmanpreet Kaur, Doug Downey, Amanpreet Singh, et al.
(2022), pp. 1-15
Open Access | Times Cited: 4

Report on the 1st Workshop on Measuring the Quality of Explanations in Recommender Systems (QUARE 2022) at SIGIR 2022
Alessandro Piscopo, Oana Inel, Sanne Vrijenhoek, et al.
ACM SIGIR Forum (2022) Vol. 56, Iss. 2, pp. 1-16
Closed Access | Times Cited: 4

Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong, Tobias Leemann, Thai-trang Nguyen, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 3

Can Interpretability Layouts Influence Human Perception of Offensive Sentences?
Thiago Freitas dos Santos, Nardine Osman, Marco Schorlemmer
Lecture notes in computer science (2024), pp. 39-57
Closed Access

Comparative Study of XAI Perception Between Eastern and Western Cultures
Shih‐Yi Chien, Yi-Fan Wang, Kuang‐Ting Cheng, et al.
International Journal of Human-Computer Interaction (2024), pp. 1-17
Closed Access

Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review
Yasmin Abdelaal, Michaël Aupetit, Abdelkader Baggag, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e53863-e53863
Open Access

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’22)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, et al.
(2022), pp. 667-670
Closed Access | Times Cited: 2

Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review (Preprint)
Yasmin Abdelaal, Michaël Aupetit, Abdelkader Baggag, et al.
(2023)
Closed Access

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