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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:

Artificial Intelligence in Nutrients Science Research: A Review
Jarosław Sak, Magdalena Suchodolska
Nutrients (2021) Vol. 13, Iss. 2, pp. 322-322
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Artificial Intelligence: Implications for the Agri-Food Sector
Akriti Taneja, Gayathri Nair, Manisha Joshi, et al.
Agronomy (2023) Vol. 13, Iss. 5, pp. 1397-1397
Open Access | Times Cited: 74
Assessing the influence of artificial intelligence on the energy efficiency for sustainable ecological products value
Malin Song, Heting Pan, Zhiyang Shen, et al.
Energy Economics (2024) Vol. 131, pp. 107392-107392
Closed Access | Times Cited: 15
Artificial intelligence in food science and nutrition: a narrative review
Taiki Miyazawa, Yoichi Hiratsuka, Masako Toda, et al.
Nutrition Reviews (2022) Vol. 80, Iss. 12, pp. 2288-2300
Closed Access | Times Cited: 39
Artificial intelligence, nutrition, and ethical issues: A mini-review
Paraskevi Detopoulou, Gavriela Voulgaridou, Panagiotis Moschos, et al.
Clinical Nutrition Open Science (2023) Vol. 50, pp. 46-56
Closed Access | Times Cited: 20
Large language models in food science: Innovations, applications, and future
Peihua Ma, Shawn Tsai, Yiyang He, et al.
Trends in Food Science & Technology (2024) Vol. 148, pp. 104488-104488
Closed Access | Times Cited: 7
The Role of Artificial Intelligence in Nutrition Research: A Scoping Review
Andrea Sosa-Holwerda, Oak-Hee Park, Kembra Albracht‐Schulte, et al.
Nutrients (2024) Vol. 16, Iss. 13, pp. 2066-2066
Open Access | Times Cited: 7
Investigation and Assessment of AI’s Role in Nutrition—An Updated Narrative Review of the Evidence
Hanin Kassem, A. Shamla Beevi, Sondos Basheer, et al.
Nutrients (2025) Vol. 17, Iss. 1, pp. 190-190
Open Access
How artificial intelligence can provide information about subdural hematoma: Assessment of readability, reliability, and quality of ChatGPT, BARD, and perplexity responses
Şanser Gül, İsmail Erdemir, Volkan Hancı, et al.
Medicine (2024) Vol. 103, Iss. 18, pp. e38009-e38009
Open Access | Times Cited: 5
Machine learning combined with multi-source data fusion for rapid quality assessment of yellow rice wine with different aging years
Zhi‐Tong Zhang, Yu Li, Lei Bai, et al.
Microchemical Journal (2024) Vol. 199, pp. 110126-110126
Closed Access | Times Cited: 3
Artificial intelligence assisted food science and nutrition perspective for smart nutrition research and healthcare
Saloni Joshi, Bhawna Bisht, Vinod Kumar, et al.
Systems Microbiology and Biomanufacturing (2023) Vol. 4, Iss. 1, pp. 86-101
Closed Access | Times Cited: 10
A multidisciplinary approach to facies evaluation at regional level using well log analysis, machine learning, and statistical methods
Jar Ullah, Huan Li, Umar Ashraf, et al.
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 9
Discrepancy between Food Classification Systems: Evaluation of Nutri-Score, NOVA Classification and Chilean Front-of-Package Food Warning Labels
Aranza Valenzuela, Leandro Zambrano, Rocío Velásquez, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 22, pp. 14631-14631
Open Access | Times Cited: 16
Measuring food volume from RGB-Depth image with point cloud conversion method using geometrical approach and robust ellipsoid fitting algorithm
Yuita Arum Sari, Akio Gofuku
Journal of Food Engineering (2023) Vol. 358, pp. 111656-111656
Closed Access | Times Cited: 9
A paradigm shift in clinical nutrition
Diana Cárdenas, Juan B. Ochoa
Clinical Nutrition (2023) Vol. 42, Iss. 3, pp. 380-383
Open Access | Times Cited: 8
A Multiobjective Diet Planning Model for Diabetic Patients in the Moroccan Health Context Using Particle Swarm Intelligence
Abdellah Ahourag, Karim El Moutaouakil, Bader Elkari, et al.
Statistics Optimization & Information Computing (2024) Vol. 12, Iss. 3, pp. 605-616
Open Access | Times Cited: 2
Biosynthesis of biomolecules from saffron as an industrial crop and their regulation, with emphasis on the chemistry, extraction methods, identification techniques, and potential applications in human health and food: A critical comprehensive review
Vishal Gupta, Gayatri Jamwal, G. Rai, et al.
Biocatalysis and Agricultural Biotechnology (2024) Vol. 59, pp. 103260-103260
Closed Access | Times Cited: 2
The AI coach
Ramon Carlo Masagca
Journal of Human Sport and Exercise (2024) Vol. 20, Iss. 1, pp. 39-56
Open Access | Times Cited: 2
Artificial intelligence in food biotechnology: trends and perspectives
Antonella Amore, Sheryl Philip
Frontiers in Industrial Microbiology (2023) Vol. 1
Open Access | Times Cited: 6
Prospects and Pitfalls of Machine Learning in Nutritional Epidemiology
Stefania Russo, Stefano Bonassi
Nutrients (2022) Vol. 14, Iss. 9, pp. 1705-1705
Open Access | Times Cited: 9
AI showdown: info accuracy on protein quality content in foods from ChatGPT 3.5, ChatGPT 4, bard AI and bing chat
Hati̇ce Merve Bayram, Arda Öztürkcan
British Food Journal (2024) Vol. 126, Iss. 9, pp. 3335-3346
Closed Access | Times Cited: 1
Application of Artificial Intelligence in Food Processing: Current Status and Future Prospects
Thingujam. Bidyalakshmi, Bikram Jyoti, Shekh Mukhtar Mansuri, et al.
Food Engineering Reviews (2024)
Closed Access | Times Cited: 1
A Cross-Sectional Reproducibility Study of a Standard Camera Sensor Using Artificial Intelligence to Assess Food Items: The FoodIntech Project
Virginie van Wymelbeke, Charles Juhel, Hugo Bole, et al.
Nutrients (2022) Vol. 14, Iss. 1, pp. 221-221
Open Access | Times Cited: 9
Design an Archetype to Predict the impact of diet and lifestyle interventions in autoimmune diseases using Deep Learning and Artificial Intelligence
Abeda Begum, Rajeev Kumar
Research Square (Research Square) (2022)
Open Access | Times Cited: 7
Challenges for Estimating the Global Prevalence of Micronutrient Deficiencies and Related Disease Burden: A Case Study of the Global Burden of Disease Study
Sonja Y. Hess, Alexander C. McLain, Edward A. Frongillo, et al.
Current Developments in Nutrition (2021) Vol. 5, Iss. 12, pp. nzab141-nzab141
Open Access | Times Cited: 9
We got nuts! use deep neural networks to classify images of common edible nuts
Ruopeng An, Joshua M. Perez-Cruet, Junjie Wang
Nutrition and Health (2022) Vol. 30, Iss. 2, pp. 301-307
Closed Access | Times Cited: 6
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