OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 26-50 of 43 citing articles:

Managing Cold-Start Issues in Music Recommendation Systems: An Approach Based on User Experience
Willian Garcias de Assunção, Raquel Oliveira Prates, Luciana Zaina
(2023), pp. 31-37
Closed Access | Times Cited: 3

How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective
Benedikt Loepp, Jürgen Ziegler
(2023), pp. 1090-1095
Closed Access | Times Cited: 3

Investigating the Effects of Different Levels of User Control on the Effectiveness of Context-Aware Recommender Systems for Web-Based Search
Neha Rani, Sharon Lynn Chu, Victoria Rene Mei
CHI Conference on Human Factors in Computing Systems Extended Abstracts (2022)
Closed Access | Times Cited: 5

Evaluating user experience in music discovery on deezer and spotify
Willian Garcias de Assunção, Luciana Zaina
(2022), pp. 1-11
Closed Access | Times Cited: 5

Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems
Alisa Rieger, Mariët Theune, Nava Tintarev
(2020), pp. 50-54
Closed Access | Times Cited: 4

Modeling User Interaction at the Convergence of Filtering Mechanisms, Recommender Algorithms and Advisory Components
Timm Kleemann, Magdalena Wagner, Benedikt Loepp, et al.
(2021)
Closed Access | Times Cited: 4

An Improved Intelligent Machine Learning Approach to Music Recommendation Based on Big Data Techniques and DSO Algorithms
Sujie He, Yuxian Li
ICST Transactions on Scalable Information Systems (2024) Vol. 11, Iss. 5
Open Access

Enhancing User Acceptance of an AI Agent’s Recommendation in Information-Sharing Environments
Rebecca Kehat, Ron S. Hirschprung, Shani Alkoby
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7874-7874
Open Access

An Adaptive Filter for Preference Fine-Tuning in Recommender Systems
José Miguel Blanco, Mouzhi Ge, Tomáš Pitner
Lecture notes in business information processing (2023), pp. 107-121
Closed Access | Times Cited: 1

Multi-list interfaces for recommender systems: survey and future directions
Benedikt Loepp
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 1

The sound of music: from increased personalization to therapeutic values
Ileana Caceres, Souvick Ghosh
Information Research an international electronic journal (2022) Vol. 27
Open Access | Times Cited: 2

Preface to the Special Issue on user modeling for personalized interaction with music
Marko Tkalčič, Markus Schedl, Peter Knees
User Modeling and User-Adapted Interaction (2020) Vol. 30, Iss. 2, pp. 195-198
Open Access | Times Cited: 2

Music Discovery as Differentiation Strategy for Streaming Providers
Andreas Raff, Andreas Mladenow, Christine Strauß
(2020) Vol. 22, pp. 476-480
Closed Access | Times Cited: 1

I Can Feel You: A Self-Trained Therapeutic Music Recommender System
Sumitra Biswal
2022 12th International Conference on Advanced Computer Information Technologies (ACIT) (2021)
Closed Access | Times Cited: 1

Optimizing User Acceptance of AI Agents in Information-Sharing Environments
Rebecca Kehat, Ron S. Hirschprung, Shani Alkoby
Research Square (Research Square) (2023)
Open Access

From User Context to Tailored Playlists: A User Centered Approach to Improve Music Recommendation System
Willian Garcias de Assunção, Raquel Oliveira Prates, Luciana Zaina
(2023), pp. 1-11
Closed Access

Previous Page - Page 2

Scroll to top