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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:

Filter bubbles in recommender systems: Fact or fallacy—A systematic review
Qazi Mohammad Areeb, Mohammad Nadeem, Shahab Saquib Sohail, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 6
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions
Yassine Habchi, Yassine Himeur, Hamza Kheddar, et al.
Systems (2023) Vol. 11, Iss. 10, pp. 519-519
Open Access | Times Cited: 46
From Vulnerability to Defense: The Role of Large Language Models in Enhancing Cybersecurity
Wafaa Kasri, Yassine Himeur, Hamzah Ali Alkhazaleh, et al.
Computation (2025) Vol. 13, Iss. 2, pp. 30-30
Open Access | Times Cited: 9
Vision-Enabled Large Language and Deep Learning Models for Image-Based Emotion Recognition
Mohammad Nadeem, Shahab Saquib Sohail, Laeeba Javed, et al.
Cognitive Computation (2024) Vol. 16, Iss. 5, pp. 2566-2579
Closed Access | Times Cited: 7
AI alignment: Assessing the global impact of recommender systems
Ljubiša Bojić
Futures (2024) Vol. 160, pp. 103383-103383
Open Access | Times Cited: 5
The Role of Large Language Models -(LLMs) in Healthcare: Transforming Diagnosis and Patient Care
Sushant Tripathi
(2025)
Closed Access
Machine Learning Models
Shrey Bhatt
(2025)
Closed Access
Real-Time AI Responses
Fareha Shakoor
(2025)
Closed Access
Restraining the formation of filter bubbles with algorithmic affordances: Toward more balanced information consumption and decreased attitude extremity
Tingting Jiang, Zhumo Sun, Shiting Fu
Journal of the Association for Information Science and Technology (2025)
Closed Access
Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences
Erica Coppolillo, Simone Mungari, Ettore Ritacco, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104125-104125
Open Access
Mitigating social polarization in video sharing platform using unbiased recommendation system: A case study of South Korea political youtube channels
Giang T.C. Tran, Jason J. Jung, JeongHun Han
Technology in Society (2025), pp. 102881-102881
Closed Access
Human-Centered Recommender Systems
Miguel Portaz, Ángeles Manjarrés Riesco, Olga C. Santos
Human-computer interaction series (2025), pp. 593-617
Closed Access
Discovering the richness of Brazilian amphibians and reptiles through images from Instagram profiles
Werther Pereira Ramalho, Tainã Lucas Andreani, Ana Clara Moreira de Melo, et al.
Studies on Neotropical Fauna and Environment (2025), pp. 1-13
Closed Access
Deep Learning in Disability Research: A Bibliometric Analysis
H. A. KHAN, Shahab Saquib Sohail, Dag Øivind Madsen, et al.
Digital engineering. (2025), pp. 100046-100046
Open Access
Exploring Users' Perspectives on a Solid-Enabled Personal Data Store Enhanced Streaming Service
Tim Theys, Stephanie Van Hove, Peter Mechant, et al.
(2025), pp. 1-22
Closed Access
Toward Responsible Recommender Systems
Przemysław Kazienko, Erik Cambria
IEEE Intelligent Systems (2024) Vol. 39, Iss. 3, pp. 5-12
Closed Access | Times Cited: 2
Recommender System: A Comprehensive Overview of Technical Challenges and Social Implications
Yiquan An, Yingxin Tan, Xi Sun, et al.
(2024) Vol. 1, Iss. 1, pp. 30-51
Closed Access | Times Cited: 2
Enhanced Sub-graph Reconstruction Graph Neural Network for Recommendation
Zhe Liu, Xiaojun Lou, Jian Li, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 1
Prick “filter bubbles” by enhancing consumers' novelty‐seeking: The role of personalized recommendations of unmentionable products
Linxiang Lv, Qi Kang, Guanrong Liu
Psychology and Marketing (2024) Vol. 41, Iss. 10, pp. 2355-2367
Open Access | Times Cited: 1
Analyzing the Interplay between Diversity of News Recommendations and Misinformation Spread in Social Media
R. S. Pathak, Francesca Spezzano
(2024), pp. 80-85
Closed Access | Times Cited: 1
Utility-based context-aware multi-agent recommendation system for energy efficiency in residential buildings
Valentyna Riabchuk, Leon Hagel, Felix Germaine, et al.
Information Fusion (2024) Vol. 112, pp. 102559-102559
Open Access | Times Cited: 1
Developing and evaluating a design method for positive artificial intelligence
Willem van der Maden, Derek Lomas, Paul Hekkert
Artificial intelligence for engineering design analysis and manufacturing (2024) Vol. 38
Open Access | Times Cited: 1
Evaluating the role of Artificial Intelligence in sustainable development goals with an emphasis on “quality education”
Hatoon S. AlSagri, Shahab Saquib Sohail
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 1
Toward optimizing scientific workflow using multi-objective optimization in a cloud environment
Shabina Ghafir, M. Afshar Alam, Farheen Siddiqui, et al.
Cogent Engineering (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Does algorithmic filtering lead to filter bubbles in online tourist information searches?
Yaqi Gong, Ashley Schroeder, Bing Pan, et al.
Information Technology & Tourism (2023) Vol. 26, Iss. 1, pp. 183-217
Closed Access | Times Cited: 2
Recommendation Systems: Enhancing Personalization and Customer Experience
Sinzy Silvester, Shaji Kurian
(2023), pp. 1-6
Closed Access | Times Cited: 2
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