Open Access Helper

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 recommendations on the playlist creation behavior of users
Iman Kamehkhosh, Geoffray Bonnin, Dietmar Jannach
User Modeling and User-Adapted Interaction (2019) Vol. 30, Iss. 2, pp. 285-322
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Digital nudging with recommender systems: Survey and future directions
Mathias Jesse, Dietmar Jannach
Computers in Human Behavior Reports (2021) Vol. 3, pp. 100052-100052
Open Access | Times Cited: 136
Current challenges and visions in music recommender systems research
Markus Schedl, Hamed Zamani, Ching-Wei Chen, et al.
International Journal of Multimedia Information Retrieval (2018) Vol. 7, Iss. 2, pp. 95-116
Open Access | Times Cited: 160
Escaping the McNamara Fallacy: Toward More Impactful Recommender Systems Research
Dietmar Jannach, Christine Bauer
AI Magazine (2020) Vol. 41, Iss. 4, pp. 79-95
Open Access | Times Cited: 67
Motivations in the adoption and conversion of freemium services: insights for digital entrepreneurship
João Ricardo de Souza Martins, Ricardo Rodrigues
Review of Managerial Science (2024)
Open Access | Times Cited: 5
Music Recommendation Systems: Techniques, Use Cases, and Challenges
Markus Schedl, Peter Knees, Brian McFee, et al.
Springer eBooks (2021), pp. 927-971
Closed Access | Times Cited: 31
The impact of playlist characteristics on coherence in user-curated music playlists
Harald Victor Schweiger, Emilia Parada‐Cabaleiro, Markus Schedl
EPJ Data Science (2025) Vol. 14, Iss. 1
Open Access
Capacity Building of Music Care for Older Adults and Caregivers: Qualitative Exploration of Enablers and Barriers
Wan Ling Lee, Shafa’atussara Silahudin, Anna Che Azmi, et al.
Journal of Applied Gerontology (2025)
Closed Access
‘Do songs tell stories?’ An empirical analysis of the effect of emotional arcs on success in a national song contest
Jürgen Rösch, Martín Rauch
Journal of Cultural Economics (2025)
Open Access
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: 15
MKGCN: Multi-Modal Knowledge Graph Convolutional Network for Music Recommender Systems
Xiaohui Cui, Xiaolong Qu, Dongmei Li, et al.
Electronics (2023) Vol. 12, Iss. 12, pp. 2688-2688
Open Access | Times Cited: 9
Effective Nearest-Neighbor Music Recommendations
Malte Ludewig, Iman Kamehkhosh, Nick Landia, et al.
(2018), pp. 1-6
Closed Access | Times Cited: 27
Order, context and popularity bias in next-song recommendations
Andreu Vall, Massimo Quadrana, Markus Schedl, et al.
International Journal of Multimedia Information Retrieval (2019) Vol. 8, Iss. 2, pp. 101-113
Open Access | Times Cited: 25
AI human impact: toward a model for ethical investing in AI-intensive companies
James Brusseau
Journal of Sustainable Finance & Investment (2021) Vol. 13, Iss. 2, pp. 1030-1057
Open Access | Times Cited: 20
Research on Tourism Route Recommendation Strategy Based on Convolutional Neural Network and Collaborative Filtering Algorithm
Shan He
Security and Communication Networks (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 14
Intelligent User Interfaces for Music Discovery
Peter Knees, Markus Schedl, Masataka Goto
Transactions of the International Society for Music Information Retrieval (2020) Vol. 3, Iss. 1, pp. 165-179
Open Access | Times Cited: 20
Surveying More Than Two Decades of Music Information Retrieval Research on Playlists
Giovanni Gabbolini, Derek Bridge
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 6, pp. 1-68
Open Access | Times Cited: 2
The Psychology of Personalization in Digital Environments: From Motivation to Well-Being – A Theoretical Integration
Fabian Hutmacher, Markus Appel
Review of General Psychology (2022) Vol. 27, Iss. 1, pp. 26-40
Closed Access | Times Cited: 11
A Session-Based Song Recommendation Approach Involving User Characterization along the Play Power-Law Distribution
Diego Sánchez-Moreno, Vivian F. López, María Dolores Muñoz Vicente, et al.
Complexity (2020) Vol. 2020, pp. 1-13
Open Access | Times Cited: 16
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: 13
Exploring Longitudinal Effects of Session-based Recommendations
Andrés Ferraro, Dietmar Jannach, Xavier Serra
(2020)
Open Access | Times Cited: 14
The rhythm of Mexico: an exploratory data analysis of Spotify’s top 50
J. Manuel Pérez-Verdejo, C. A. Piña-García, Mario Miguel Ojeda, et al.
Journal of Computational Social Science (2020) Vol. 4, Iss. 1, pp. 147-161
Closed Access | Times Cited: 13
Value and Impact of Recommender Systems
Dietmar Jannach, Markus Zanker
Springer eBooks (2012), pp. 519-546
Closed Access | Times Cited: 15
Music Trend Prediction Based on Improved LSTM and Random Forest Algorithm
Xiangli Liu
Journal of Sensors (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 8
A Model for Generating Playlists based on Consumer Emotions
Josué Alexis Lugos Abarca
(2024)
Open Access | Times Cited: 1
STREAMING MUSIK SEBAGAI KONSTRUKSI IDENTITAS (SEBUAH KAJIAN LITERATUR)
Aji Satria Nugraha, Siti Komariah, Siti Nurbayani
National Conference on Applied Business Education & Technology (NCABET) (2024) Vol. 3, Iss. 1, pp. 785-797
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top