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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.

Requested Article:

Mobile music recommendations for runners based on location and emotions: The DJ-Running system
Pedro Álvarez, F. Javier Zarazaga‐Soria, Sandra Baldassarri
Pervasive and Mobile Computing (2020) Vol. 67, pp. 101242-101242
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Content-driven music recommendation: Evolution, state of the art, and challenges
Yashar Deldjoo, Markus Schedl, Peter Knees
Computer Science Review (2024) Vol. 51, pp. 100618-100618
Open Access | Times Cited: 22
Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning
Stanisław Saganowski
Electronics (2022) Vol. 11, Iss. 3, pp. 496-496
Open Access | Times Cited: 51
The SSA-BP-based potential threat prediction for aerial target considering commander emotion
Xun Wang, Jin Liu, Tao Hou, et al.
Defence Technology (2021) Vol. 18, Iss. 11, pp. 2097-2106
Open Access | Times Cited: 33
A novel similarity-based taste features-extracted emotions-aware music recommendation algorithm
Yu Gao, Shu‐Ping Wan, Jiu-Ying Dong
Information Sciences (2025), pp. 122001-122001
Closed Access
Beyond the Big Five personality traits for music recommendation systems
Mariusz Kleć, Alicja Wieczorkowska, Krzysztof Szklanny, et al.
EURASIP Journal on Audio Speech and Music Processing (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 12
Affective State Prediction from Smartphone Touch and Sensor Data in the Wild
Rafael Wampfler, Severin Klingler, Barbara Solenthaler, et al.
CHI Conference on Human Factors in Computing Systems (2022), pp. 1-14
Open Access | Times Cited: 17
Enhanced Music Recommendation Systems: A Comparative Study of Content-Based Filtering and K-Means Clustering Approaches
Sayak Mukhopadhyay, Akshay Kumar, Deepak Parashar, et al.
Revue d intelligence artificielle (2024) Vol. 38, Iss. 1, pp. 365-376
Open Access | Times Cited: 3
A survey on blockchain-based Recommender Systems: Integration architecture and taxonomy
Loubna Mekouar, Youssef Iraqi, Issam Damaj, et al.
Computer Communications (2022) Vol. 187, pp. 1-19
Closed Access | Times Cited: 15
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners
Barry Smyth, Aonghus Lawlor, Jakim Berndsen, et al.
User Modeling and User-Adapted Interaction (2021) Vol. 32, Iss. 5, pp. 787-838
Open Access | Times Cited: 19
Context Awareness in Recognition of Affective States: A Systematic Mapping of the Literature
Sandro Oliveira Dorneles, Rosemary Francisco, Débora Nice Ferrari Barbosa, et al.
International Journal of Human-Computer Interaction (2022) Vol. 39, Iss. 8, pp. 1563-1581
Closed Access | Times Cited: 13
Design and Implementation of An Intelligent Classroom Teaching System for Music Class Based on Internet of Things
Dong Lyu, Zhiying Wang
International Journal of Emerging Technologies in Learning (iJET) (2021) Vol. 16, Iss. 18, pp. 171-171
Open Access | Times Cited: 16
Recommender Systems for Outdoor Adventure Tourism Sports: Hiking, Running and Climbing
Iustina Ivanova, Mike Wald
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 3, pp. 344-365
Open Access | Times Cited: 6
Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets
Jiayu Li, Zhiyu He, Y. Cui, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2022) Vol. 6, Iss. 3, pp. 1-34
Open Access | Times Cited: 10
Intelligent interaction model for battleship control based on the fusion of target intention and operator emotion
Xun Wang, Aiguo Lu, Jin Liu, et al.
Computers & Electrical Engineering (2021) Vol. 92, pp. 107196-107196
Closed Access | Times Cited: 13
Personalised Interactive Music Systems for Physical Activity and Exercise: A Systematic Review and Meta-Analysis
Andrew Danso, Tiia Kekäläinen, Friederike Koehler, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Social music discovery: an ethical recommendation system based on friend’s preferred songs
Marco Furini, Francesca Fragnelli
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 1
Music Recommendation Systems: A Survey
Mariusz Kleć, Alicja Wieczorkowska
Studies in computational intelligence (2021), pp. 107-118
Closed Access | Times Cited: 7
Wearables and Machine Learning for Improving Runners’ Motivation from an Affective Perspective
Sandra Baldassarri, J. García de Quirós, José Ramón Beltrán, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1608-1608
Open Access | Times Cited: 2
Affect sensing from smartphones through touch and motion contexts
Susmi Jacob, P. Vinod, Arjun Subramanian, et al.
Multimedia Systems (2023) Vol. 29, Iss. 5, pp. 2495-2509
Closed Access | Times Cited: 2
Lessons Learned from Developing Emotion Recognition System for Everyday Life
Stanisław Saganowski, Jan Miszczyk, Dominika Kunc, et al.
(2022), pp. 1047-1054
Open Access | Times Cited: 4
Recognition of Energy Harvesting Techniques for Enhanced Operation in WSN Using IoT with Deep Learning
D. Hemanand D. Venkatesh
Deleted Journal (2024) Vol. 20, Iss. 3s, pp. 142-149
Open Access
Learning to Run Marathons: On the Applications of Machine Learning to Recreational Marathon Running
Barry Smyth, Ciara Feely, Jakim Berndsen, et al.
(2024), pp. 209-231
Closed Access
Emotion-Driven Music and IoT Devices for Collaborative Exer-Games
Pedro Álvarez, J. García de Quirós, Javier Fabra
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10251-10251
Open Access
A novel hybrid algorithm considering deviation in group recommender systems
Wen‐Yau Liang, Chun‐Che Huang
Multimedia Tools and Applications (2024)
Closed Access
PSRMER: Proactive Services Recommendation Driven-by Multimodal Emotion Recognition
Zhizhong Liu, Guangyu Huang, Dianhui Chu, et al.
(2023), pp. 514-525
Closed Access | Times Cited: 1
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