OpenAlex Citation Counts

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:

Nutritional biomarkers and machine learning for personalized nutrition applications and health optimization
Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis
(2021), pp. 1-6
Closed Access | Times Cited: 15

Showing 15 citing articles:

Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review
Tagne Poupi Theodore Armand, Kintoh Allen Nfor, Jung-In Kim, et al.
Nutrients (2024) Vol. 16, Iss. 7, pp. 1073-1073
Open Access | Times Cited: 38

A novel framework for artificial intelligence explainability via the Technology Acceptance Model and Rapid Estimate of Adult Literacy in Medicine using machine learning
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
Expert Systems with Applications (2024) Vol. 248, pp. 123375-123375
Closed Access | Times Cited: 20

Regulation and Validation Challenges in Artificial Intelligence-Empowered Healthcare Applications—The Case of Blood-Retrieved Biomarkers
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
Learning and analytics in intelligent systems (2023), pp. 97-110
Closed Access | Times Cited: 11

SVM-Based Blood Exam Classification for Predicting Defining Factors in Metabolic Syndrome Diagnosis
Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis
Electronics (2022) Vol. 11, Iss. 6, pp. 857-857
Open Access | Times Cited: 15

Biomarker-based deep learning for personalized nutrition
Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI) (2021), pp. 306-313
Closed Access | Times Cited: 18

An Explainable AI-Based Framework for Supporting Decisions in Energy Management
Elissaios Sarmas, Dimitrios P. Panagoulias, George A. Tsihrintzis, et al.
Learning and analytics in intelligent systems (2024), pp. 1-27
Closed Access | Times Cited: 2

Towards Personalized Nutrition Applications with Nutritional Biomarkers and Machine Learning
Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis
Learning and analytics in intelligent systems (2021), pp. 73-122
Closed Access | Times Cited: 11

nuhealthsoft: A Nutritional and Health Data Processing Software Tool from a patient’s perspective
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
(2022), pp. 386-393
Closed Access | Times Cited: 7

Extreme value analysis for dietary intake based on weight class
Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis
(2022)
Closed Access | Times Cited: 5

An Extreme Value Analysis-Based Systemic Approach in Healthcare Information Systems: The Case of Dietary Intake
Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis
Electronics (2022) Vol. 12, Iss. 1, pp. 204-204
Open Access | Times Cited: 4

A microservices-based iterative development approach for usable, reliable and explainable A.I.-infused medical applications using R.U.P
Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
(2022), pp. 1028-1035
Closed Access | Times Cited: 4

Rule-Augmented Artificial Intelligence-empowered Systems for Medical Diagnosis using Large Language Models
Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria Virvou, et al.
(2023), pp. 70-77
Closed Access | Times Cited: 2

Forgetting how we ate: personalised nutrition and the strategic uses of history
Christopher Mayes, Maurizio Meloni
History & Philosophy of the Life Sciences (2024) Vol. 46, Iss. 1
Open Access

A parallel feature selection algorithm for detection of cancer biomarkers
Maryam Razmjouei, Hamid Reza Hamidi
Intelligent Decision Technologies (2022) Vol. 16, Iss. 2, pp. 441-447
Closed Access

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Requested Article:

Showing 15 citing articles:

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