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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.

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Showing 1-25 of 45 citing articles:

To explain or not to explain
Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, et al.
(2019), pp. 397-407
Open Access | Times Cited: 116
“Knowing me, knowing you”: personalized explanations for a music recommender system
Martijn Millecamp, Cristina Conati, Katrien Verbert
User Modeling and User-Adapted Interaction (2022) Vol. 32, Iss. 1-2, pp. 215-252
Closed Access | Times Cited: 41
Visualization for Recommendation Explainability: A Survey and New Perspectives
Mohamed Amine Chatti, Mouadh Guesmi, Arham Muslim
ACM Transactions on Interactive Intelligent Systems (2024) Vol. 14, Iss. 3, pp. 1-40
Open Access | Times Cited: 9
Designing for the better by taking users into account
Jaron Harambam, Dimitrios Bountouridis, Mykola Makhortykh, et al.
(2019)
Closed Access | Times Cited: 58
Explaining Recommendations in E-Learning: Effects on Adolescents' Trust
Jeroen Ooge, Shotallo Kato, Katrien Verbert
(2022)
Open Access | Times Cited: 31
Deep Learning-Enhanced Framework for Performance Evaluation of a Recommending Interface with Varied Recommendation Position and Intensity Based on Eye-Tracking Equipment Data Processing
Piotr Sulikowski, Tomasz Zdziebko
Electronics (2020) Vol. 9, Iss. 2, pp. 266-266
Open Access | Times Cited: 46
Effects of personal characteristics in control-oriented user interfaces for music recommender systems
Yucheng Jin, Nava Tintarev, Nyi Nyi Htun, et al.
User Modeling and User-Adapted Interaction (2019) Vol. 30, Iss. 2, pp. 199-249
Open Access | Times Cited: 43
What's in a User? Towards Personalising Transparency for Music Recommender Interfaces
Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, et al.
(2020)
Closed Access | Times Cited: 41
Deep Probabilistic Matrix Factorization Framework for Online Collaborative Filtering
Kangkang Li, Xiuze Zhou, Fan Lin, et al.
IEEE Access (2019) Vol. 7, pp. 56117-56128
Open Access | Times Cited: 42
MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction
Yucheng Jin, Wanling Cai, Li Chen, et al.
(2019), pp. 951-960
Closed Access | Times Cited: 39
CoNet: Co-occurrence neural networks for recommendation
Ming Chen, Yunhao Li, Xiuze Zhou
Future Generation Computer Systems (2021) Vol. 124, pp. 308-314
Closed Access | Times Cited: 27
Enabling Goal-Focused Exploration of Podcasts in Interactive Recommender Systems
Yu Liang, Aditya Ponnada, Paul Lamere, et al.
(2023)
Open Access | Times Cited: 9
Reading News with a Purpose
Emily Sullivan, Dimitrios Bountouridis, Jaron Harambam, et al.
(2019), pp. 241-245
Open Access | Times Cited: 29
ContextPlay
Yucheng Jin, Nyi Nyi Htun, Nava Tintarev, et al.
(2019), pp. 294-302
Open Access | Times Cited: 26
Promoting Music Exploration through Personalized Nudging in a Genre Exploration Recommender
Yu Liang, Martijn C. Willemsen
International Journal of Human-Computer Interaction (2022) Vol. 39, Iss. 7, pp. 1495-1518
Open Access | Times Cited: 14
Supporting job mediator and job seeker through an actionable dashboard
Sven Charleer, Francisco Luís Gutiérrez Vela, Katrien Verbert
(2019)
Open Access | Times Cited: 24
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
User Needs for Explanations of Recommendations: In-depth Analyses of the Role of Item Domain and Personal Characteristics
Thi Ngoc Trang Tran, Alexander Felfernig, Viet-Man Le, et al.
(2023), pp. 54-65
Open Access | Times Cited: 6
Big Data Analytics for Personalized Recommendation Systems
Carson K. Leung, Abhishek Kajal, Yeyoung Won, et al.
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (2019), pp. 1060-1065
Closed Access | Times Cited: 18
On Natural Language User Profiles for Transparent and Scrutable Recommendation
Filip Radlinski, Krisztian Balog, Fernando Díaz, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 2863-2874
Open Access | Times Cited: 10
Cogito ergo quid? The Effect of Cognitive Style in a Transparent Mobile Music Recommender System
Martijn Millecamp, Robin Haveneers, Katrien Verbert
(2020), pp. 323-327
Closed Access | Times Cited: 15
The role of preference consistency, defaults and musical expertise in users’ exploration behavior in a genre exploration recommender
Yu Liang, Martijn C. Willemsen
(2021)
Open Access | Times Cited: 12
Contesting personalized recommender systems: a cross-country analysis of user preferences
Christopher Starke, Ljubiša Metikoš, Natali Helberger, et al.
Information Communication & Society (2024), pp. 1-20
Open Access | Times Cited: 1
Knowledge Graph-Based Integration of Conversational Advisors and Faceted Filtering
Timm Kleemann, Benedikt Loepp, Jürgen Ziegler
Interacting with Computers (2024)
Closed Access | Times Cited: 1
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System
Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Joarder, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 22, pp. 7248-7269
Open Access | Times Cited: 4
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