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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:

A survey on popularity bias in recommender systems
Anastasiia Klimashevskaia, Dietmar Jannach, Mehdi Elahi, et al.
User Modeling and User-Adapted Interaction (2024) Vol. 34, Iss. 5, pp. 1777-1834
Open Access | Times Cited: 24

Showing 24 citing articles:

Revisiting recommender systems: an investigative survey
Osman Ali Sadek Ibrahim, Eman M. G. Younis, Ebtsam A. Mohamed, et al.
Neural Computing and Applications (2025)
Open Access
Popularity Bias in Recommender Systems: The Search for Fairness in the Long Tail
Filippo Carnovalini, Antonio Rodà, Geraínt A. Wiggins
Information (2025) Vol. 16, Iss. 2, pp. 151-151
Open Access
Addressing popularity discrepancy in collaborative filtering
Cizhou Yu, Dongsheng Li, Hansu Gu, et al.
Knowledge and Information Systems (2025)
Closed Access
Mirror, Mirror: Exploring Stereotype Presence Among Top-N Recommendations That May Reach Children
Robin Ungruh, Murtadha Al Nahadi, Maria Soledad Pera
ACM Transactions on Recommender Systems (2025)
Closed Access
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers
Chenyang Yang, Tesi Xiao, Michael Shavlovsky, et al.
(2025), pp. 1093-1106
Closed Access
Exploring the Relationship Between Listener Receptivity and Source of Music Recommendations
John Paul Vargheese, Marianne Wilson, Katherine Stephen, et al.
Lecture notes in computer science (2025), pp. 104-118
Closed Access
On the Longitudinal Impact of Exposure Bias in Recommender Systems
Andrea Pisani
Lecture notes in computer science (2025), pp. 178-183
Closed Access
The Impact of Mainstream-Driven Algorithms on Recommendations for Children
Robin Ungruh, Alejandro Bellogín, Maria Soledad Pera
Lecture notes in computer science (2025), pp. 67-84
Closed Access
Knowledge Distillation Based Recommendation Systems: A Comprehensive Survey
Haoyuan Song, Yibowen Zhao, Yixin Zhang, et al.
Electronics (2025) Vol. 14, Iss. 8, pp. 1538-1538
Open Access
Assessing the Utility of an Interaction Qualities Framework in Systematizing the Evaluation of User Control
Aletta Smits, Chris Detweiler, Ester Bartels, et al.
Lecture notes in computer science (2024), pp. 185-195
Closed Access | Times Cited: 3
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?
Yu-Chen Fan, Yitong Ji, Jie Zhang, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 6, pp. 1-25
Open Access | Times Cited: 2
A Survey on Intent-aware Recommender Systems
Dietmar Jannach, Markus Zanker
ACM Transactions on Recommender Systems (2024)
Open Access | Times Cited: 1
Regulatory Initiatives
Markus Schedl, Vito Walter Anelli, Elisabeth Lex
˜The œSpringer international series on information retrieval (2024), pp. 11-27
Closed Access | Times Cited: 1
Improving Recommendations for Non-Mainstream Users by Addressing Subjective Item Views
Arsen Matej Golubovikj
(2024), pp. 35-39
Closed Access
CBRM: A Causal Approach to BalancingPopularity Bias with Global Quality inRecommendation Systems
Rongsheng Dong, Dongting Lv, Fengying Li
Research Square (Research Square) (2024)
Closed Access
Fairness Explanations in Recommender Systems
Luan Souza
(2024), pp. 1353-1354
Open Access
A Novel Pre-Processing Technique to Combat Popularity Bias in Personality-Aware Recommender Systems
Madiha Waris, Muhammad Zaman Fakhar, Mert Gulsoy, et al.
IEEE Access (2024) Vol. 12, pp. 183230-183251
Open Access
Relieving popularity bias in recommender systems via user group-level augmentation
Ming He, Zihao Zhang, Han Zhang, et al.
Applied Soft Computing (2024), pp. 112610-112610
Closed Access
Conclusions and Open Challenges
Markus Schedl, Vito Walter Anelli, Elisabeth Lex
˜The œSpringer international series on information retrieval (2024), pp. 143-146
Closed Access
Privacy and Security
Markus Schedl, Vito Walter Anelli, Elisabeth Lex
˜The œSpringer international series on information retrieval (2024), pp. 103-141
Closed Access
Biases, Fairness, and Non-discrimination
Markus Schedl, Vito Walter Anelli, Elisabeth Lex
˜The œSpringer international series on information retrieval (2024), pp. 29-67
Closed Access
Introduction
Markus Schedl, Vito Walter Anelli, Elisabeth Lex
˜The œSpringer international series on information retrieval (2024), pp. 1-10
Closed Access
Transparency
Markus Schedl, Vito Walter Anelli, Elisabeth Lex
˜The œSpringer international series on information retrieval (2024), pp. 69-102
Closed Access
Modelling Concept Drift in Dynamic Data Streams for Recommender Systems
Luciano Caroprese, Francesco Sergio Pisani, Bruno Veloso, et al.
ACM Transactions on Recommender Systems (2024)
Open Access
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