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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:

Recommender Systems: Techniques, Applications, and Challenges
Francesco Ricci⋆, Lior Rokach, Bracha Shapira
Springer eBooks (2021), pp. 1-35
Closed Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Evaluating Recommender Systems: Survey and Framework
Eva Zangerle, Christine Bauer
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-38
Open Access | Times Cited: 123
Trustworthy Recommender Systems
Shoujin Wang, Xiuzhen Zhang, Yan Wang, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 4, pp. 1-20
Open Access | Times Cited: 40
Promoting Green Fashion Consumption Through Digital Nudges in Recommender Systems
Angelo Geninatti Cossatin, Noemi Mauro, Liliana Ardissono
IEEE Access (2024) Vol. 12, pp. 6812-6829
Open Access | Times Cited: 6
Social Recommender System Based on CNN Incorporating Tagging and Contextual Features
Muhammad Alrashidi, Ali Selamat, Roliana Ibrahim, et al.
Journal of Cases on Information Technology (2024) Vol. 26, Iss. 1, pp. 1-20
Open Access | Times Cited: 5
Where Are the Values? A Systematic Literature Review on News Recommender Systems
Christine Bauer, Chandni Bagchi, Olusanmi Hundogan, et al.
ACM Transactions on Recommender Systems (2024) Vol. 2, Iss. 3, pp. 1-40
Open Access | Times Cited: 5
Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation
Bjørnar Vassøy, Helge Langseth
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 4
Recommender Systems for Students in Flexible Education: An Exploration of Benefits and Risks
Suzanne van Rossen, Erik Kluijtmans, Suzan van Brussel, et al.
Lecture notes in computer science (2024), pp. 196-204
Closed Access | Times Cited: 4
A survey on point-of-interest recommendations leveraging heterogeneous data
Zehui Wang, Wolfram Höpken, Dietmar Jannach
Information Technology & Tourism (2025)
Open Access
Impression-Aware Recommender Systems
Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, et al.
ACM Transactions on Recommender Systems (2025)
Open Access
The Tension Between Global Reach and Local Identity in Creative and Cultural Industries
Luigi Nasta
(2025), pp. 83-112
Closed Access
Tourist Routes Recommender System Supported by Artificial Intelligence
Cristina González-Navasa, José Andrés Moreno Pérez, Julio Brito
Lecture notes in computer science (2025), pp. 92-106
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
Google Discover data-driven study of user activity on e-commerce platforms
Artur Strzelecki, Mariia Rizun
Aslib Journal of Information Management (2025)
Closed Access
Human-Centered Recommender Systems
Miguel Portaz, Ángeles Manjarrés Riesco, Olga C. Santos
Human-computer interaction series (2025), pp. 593-617
Closed Access
User Modeling in Human-Centered AI
Eelco Herder, Judith Masthoff
Human-computer interaction series (2025), pp. 475-491
Closed Access
Adaptation and Personalization in Human-Centered AI
Marko Tkalčič, Bruce Ferwerda
Human-computer interaction series (2025), pp. 493-511
Closed Access
Simulating the Impact of Recommendation Salience on Tourists Experienced Utility
Pavel Merinov, Francesco Ricci⋆
Communications in computer and information science (2025), pp. 35-51
Closed Access
Not All Memories Created Equal: Dynamic User Representations for Collaborative Filtering
Keren Gaiger, Oren Barkan, Shir Tsipory-Samuel, et al.
IEEE Access (2023) Vol. 11, pp. 34746-34763
Open Access | Times Cited: 10
A cutting-edge artificial intelligence paradigm for entertainment-infused music recommendations
S.V. Krishna Reddy, V. Rama Krishna, Roshnadevi Jaising Sapkal, et al.
Entertainment Computing (2024) Vol. 51, pp. 100717-100717
Closed Access | Times Cited: 3
A review on individual and multistakeholder fairness in tourism recommender systems
Ashmi Banerjee, Paromita Banik, Wolfgang Wörndl
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 8
Towards Human-Centric Psychomotor Recommender Systems
Miguel Portaz, Ángeles Manjarrés Riesco, Olga C. Santos
(2023), pp. 337-342
Open Access | Times Cited: 8
Computational Methods to Infer Human Factors for Adaptation and Personalization Using Eye Tracking
Ben Steichen
Human-computer interaction series (2024), pp. 183-204
Closed Access | Times Cited: 2
Preference Management in a Single User Group Recommender System
Hanif Emamgholizadeh, Amra Delić, Francesco Ricci⋆
Springer proceedings in business and economics (2024), pp. 3-15
Open Access | Times Cited: 2
Preferences of people with chronic kidney disease regarding digital health interventions that promote healthy lifestyle: qualitative systematic review with meta-ethnography
Thái Bình Trần, Meghan Ambrens, Jennifer Nguyễn, et al.
BMJ Open (2024) Vol. 14, Iss. 5, pp. e082345-e082345
Open Access | Times Cited: 2
LLM-generated Explanations for Recommender Systems
Sebastian Lubos, Thi Ngoc Trang Tran, Alexander Felfernig, et al.
(2024), pp. 276-285
Closed Access | Times Cited: 2
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