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:

A Food Recommender System Considering Nutritional Information and User Preferences
Raciel Yera, Ahmad A. Alzahrani, Luis Martı́nez
IEEE Access (2019) Vol. 7, pp. 96695-96711
Open Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

Realizing an Efficient IoMT-Assisted Patient Diet Recommendation System Through Machine Learning Model
Celestine Iwendi, Suleman Khan, Joseph Henry Anajemba, et al.
IEEE Access (2020) Vol. 8, pp. 28462-28474
Open Access | Times Cited: 176
A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering
Mehrdad Rostami, Mourad Oussalah, Vahid Farrahi
IEEE Access (2022) Vol. 10, pp. 52508-52524
Open Access | Times Cited: 95
A novel healthy and time-aware food recommender system using attributed community detection
Mehrdad Rostami, Vahid Farrahi, Sajad Ahmadian, et al.
Expert Systems with Applications (2023) Vol. 221, pp. 119719-119719
Open Access | Times Cited: 48
ChatGPT as a Virtual Dietitian: Exploring Its Potential as a Tool for Improving Nutrition Knowledge
Manuel B. Garcia
Applied System Innovation (2023) Vol. 6, Iss. 5, pp. 96-96
Open Access | Times Cited: 48
ChatDiet: Empowering personalized nutrition-oriented food recommender chatbots through an LLM-augmented framework
Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, et al.
Smart Health (2024) Vol. 32, pp. 100465-100465
Open Access | Times Cited: 16
A novel healthy food recommendation to user groups based on a deep social community detection approach
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh, et al.
Neurocomputing (2024) Vol. 576, pp. 127326-127326
Open Access | Times Cited: 15
A Systematic Study on the Recommender Systems in the E-Commerce
Pegah Malekpour Alamdari, Nima Jafari Navimipour, Mehdi Hosseinzadeh, et al.
IEEE Access (2020) Vol. 8, pp. 115694-115716
Open Access | Times Cited: 128
Blockchain-based recommender systems: Applications, challenges and future opportunities
Yassine Himeur, Aya Nabil Sayed, Abdullah Alsalemi, et al.
Computer Science Review (2021) Vol. 43, pp. 100439-100439
Open Access | Times Cited: 101
A Blockchain-Driven Food Supply Chain Management Using QR Code and XAI-Faster RCNN Architecture
Surbhi Bhatia, Abdulaziz Albarrak
Sustainability (2023) Vol. 15, Iss. 3, pp. 2579-2579
Open Access | Times Cited: 33
Digital Anti-Aging Healthcare: An Overview of the Applications of Digital Technologies in Diet Management
Tagne Poupi Theodore Armand, Hee‐Cheol Kim, Jung-In Kim
Journal of Personalized Medicine (2024) Vol. 14, Iss. 3, pp. 254-254
Open Access | Times Cited: 11
AI nutrition recommendation using a deep generative model and ChatGPT
Ilias Papastratis, Dimitrios Konstantinidis, Petros Daras, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Design and Development of Diabetes Management System Using Machine Learning
Robert A. Sowah, Adelaide A. Bampoe-Addo, Stephen K. Armoo, et al.
International Journal of Telemedicine and Applications (2020) Vol. 2020, pp. 1-17
Open Access | Times Cited: 67
Content-based group recommender systems: A general taxonomy and further improvements
Yilena Pérez-Almaguer, Raciel Yera, Ahmad A. Alzahrani, et al.
Expert Systems with Applications (2021) Vol. 184, pp. 115444-115444
Open Access | Times Cited: 55
Optimized adaptive tree seed Kalman filter for a diabetes recommendation system—bilevel performance improvement strategy for healthcare applications
P. Nagaraj, P. Deepalakshmi, Muhammad Fazal Ijaz
Elsevier eBooks (2022), pp. 191-202
Closed Access | Times Cited: 35
A Systematic Review on Food Recommender Systems for Diabetic Patients
Raciel Yera, Ahmad A. Alzahrani, Luis Martı́nez, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 4248-4248
Open Access | Times Cited: 16
Exploring post-hoc agnostic models for explainable cooking recipe recommendations
Raciel Yera, Ahmad A. Alzahrani, Luis Martı́nez
Knowledge-Based Systems (2022) Vol. 251, pp. 109216-109216
Open Access | Times Cited: 25
PROTEIN AI Advisor: A Knowledge-Based Recommendation Framework Using Expert-Validated Meals for Healthy Diets
Kiriakos Stefanidis, Dorothea Tsatsou, Dimitrios Konstantinidis, et al.
Nutrients (2022) Vol. 14, Iss. 20, pp. 4435-4435
Open Access | Times Cited: 25
Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System
Ayoub El Majjodi, Alain D. Starke, Christoph Trattner
(2022), pp. 48-56
Open Access | Times Cited: 22
Can ChatGPT provide appropriate meal plans for NCD patients?
Ilias Papastratis, Andreas Stergioulas, Dimitrios Konstantinidis, et al.
Nutrition (2023) Vol. 121, pp. 112291-112291
Closed Access | Times Cited: 13
Secured Smart Meal Delivery System for Women's Safety
C. N. S. Vinoth Kumar, U. Sakthivelu, R. Naresh, et al.
Advances in computational intelligence and robotics book series (2024), pp. 275-290
Closed Access | Times Cited: 5
An Approach for Multi-Context-Aware Multi-Criteria Recommender Systems Based on Deep Learning
Ifra Afzal, Özgür Yılmazel, Cihan Kaleli
IEEE Access (2024) Vol. 12, pp. 99936-99948
Open Access | Times Cited: 5
Adaptafood: an intelligent system to adapt recipes to specialised diets and healthy lifestyles
Andrea Morales-Garzón, Karel Gutiérrez‐Batista, Marı́a J. Martı́n-Bautista
Multimedia Systems (2025) Vol. 31, Iss. 1
Open Access
Food multi-factor decoupling recognition based on progressive spatial-frequency attention distillation learning
Minkang Chai, Lu Wei, Qian Zheng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110379-110379
Closed Access
Co-occurrence and Ontology Reinforcement Learning: CoO-RL in Food Recommendations
Nataporn Thammabunwarit, Amornvit Vatcharaphrueksadee, Puttakul Puttawattanakul, et al.
Journal of Advances in Information Technology (2025) Vol. 16, Iss. 3, pp. 318-329
Open Access
Multimodal Food Learning
Weiqing Min, X. H. Hong, Yuxin Liu, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2025)
Closed Access
Page 1 - Next Page

Scroll to top