
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:
Mobile Computer Vision-Based Applications for Food Recognition and Volume and Calorific Estimation: A Systematic Review
Lameck Mbangula Amugongo, Alexander Kriebitz, Auxane Boch, et al.
Healthcare (2022) Vol. 11, Iss. 1, pp. 59-59
Open Access | Times Cited: 29
Lameck Mbangula Amugongo, Alexander Kriebitz, Auxane Boch, et al.
Healthcare (2022) Vol. 11, Iss. 1, pp. 59-59
Open Access | Times Cited: 29
Showing 1-25 of 29 citing articles:
Using Artificial Intelligence to Tackle Food Waste and Enhance the Circular Economy: Maximising Resource Efficiency and Minimising Environmental Impact: A Review
Helen Onyeaka, Phemelo Tamasiga, Uju Mary Nwauzoma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10482-10482
Open Access | Times Cited: 79
Helen Onyeaka, Phemelo Tamasiga, Uju Mary Nwauzoma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10482-10482
Open Access | Times Cited: 79
Computer vision and deep learning-based approaches for detection of food nutrients/nutrition: New insights and advances
Sushant Kaushal, Dushyanth Kumar Tammineni, Priya Rana, et al.
Trends in Food Science & Technology (2024) Vol. 146, pp. 104408-104408
Closed Access | Times Cited: 20
Sushant Kaushal, Dushyanth Kumar Tammineni, Priya Rana, et al.
Trends in Food Science & Technology (2024) Vol. 146, pp. 104408-104408
Closed Access | Times Cited: 20
Operationalising AI ethics through the agile software development lifecycle: a case study of AI-enabled mobile health applications
Lameck Mbangula Amugongo, Alexander Kriebitz, Auxane Boch, et al.
AI and Ethics (2023)
Open Access | Times Cited: 26
Lameck Mbangula Amugongo, Alexander Kriebitz, Auxane Boch, et al.
AI and Ethics (2023)
Open Access | Times Cited: 26
Smart Diet Diary: Real-Time Mobile Application for Food Recognition
Muhammad Nadeem, Henry Shen, Lincoln Choy, et al.
Applied System Innovation (2023) Vol. 6, Iss. 2, pp. 53-53
Open Access | Times Cited: 15
Muhammad Nadeem, Henry Shen, Lincoln Choy, et al.
Applied System Innovation (2023) Vol. 6, Iss. 2, pp. 53-53
Open Access | Times Cited: 15
Perspective: Data in personalized nutrition: Bridging biomedical, psycho-behavioral, and food environment approaches for population-wide impact
Jakob Linseisen, Britta Renner, Kurt Gedrich, et al.
Advances in Nutrition (2025), pp. 100377-100377
Open Access
Jakob Linseisen, Britta Renner, Kurt Gedrich, et al.
Advances in Nutrition (2025), pp. 100377-100377
Open Access
Edge Computing-Based Machine Vision for Non-Invasive and Rapid Soft Sensing of Mushroom Liquid Strain Biomass
Libin Wu, G. Y. Xiao, Deyao Huang, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 242-242
Open Access
Libin Wu, G. Y. Xiao, Deyao Huang, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 242-242
Open Access
Large-scale image classification and nutrient estimation for Chinese dishes
Yihang Feng, Yi Wang, Xinhao Wang, et al.
Journal of Agriculture and Food Research (2025), pp. 101733-101733
Open Access
Yihang Feng, Yi Wang, Xinhao Wang, et al.
Journal of Agriculture and Food Research (2025), pp. 101733-101733
Open Access
The Nutritional Content of Meal Images in Free-Living Conditions—Automatic Assessment with goFOODTM
Ioannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, et al.
Nutrients (2023) Vol. 15, Iss. 17, pp. 3835-3835
Open Access | Times Cited: 10
Ioannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, et al.
Nutrients (2023) Vol. 15, Iss. 17, pp. 3835-3835
Open Access | Times Cited: 10
A modified time adaptive self-organizing map with stochastic gradient descent optimizer for automated food recognition system
Jameer Kotwal, Shweta Koparde, Chaya Jadhav, et al.
Journal of Stored Products Research (2024) Vol. 107, pp. 102314-102314
Closed Access | Times Cited: 3
Jameer Kotwal, Shweta Koparde, Chaya Jadhav, et al.
Journal of Stored Products Research (2024) Vol. 107, pp. 102314-102314
Closed Access | Times Cited: 3
Guidelines for microbiome studies in renal physiology
Rikeish R. Muralitharan, Matthew Snelson, Guillaume Méric, et al.
AJP Renal Physiology (2023) Vol. 325, Iss. 3, pp. F345-F362
Closed Access | Times Cited: 8
Rikeish R. Muralitharan, Matthew Snelson, Guillaume Méric, et al.
AJP Renal Physiology (2023) Vol. 325, Iss. 3, pp. F345-F362
Closed Access | Times Cited: 8
Image-based volume estimation for food in a bowl
Wenyan Jia, Boyang Li, Qi Xu, et al.
Journal of Food Engineering (2024), pp. 111943-111943
Closed Access | Times Cited: 1
Wenyan Jia, Boyang Li, Qi Xu, et al.
Journal of Food Engineering (2024), pp. 111943-111943
Closed Access | Times Cited: 1
Decoding Heterogeneity in Data-Driven Self-Monitoring Adherence Trajectories in Digital Lifestyle Interventions for Weight Loss: A Qualitative Study
Shiyu Li, Yan Du, Christiane Meireles, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Shiyu Li, Yan Du, Christiane Meireles, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Food Recognition and Nutritional Apps
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, et al.
Elsevier eBooks (2024), pp. 73-83
Open Access | Times Cited: 1
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, et al.
Elsevier eBooks (2024), pp. 73-83
Open Access | Times Cited: 1
A Study on Food Value Estimation From Images: Taxonomies, Datasets, and Techniques
Jamalia Sultana, B. Ahmed, Mohammad Mehedy Masud, et al.
IEEE Access (2023) Vol. 11, pp. 45910-45935
Open Access | Times Cited: 4
Jamalia Sultana, B. Ahmed, Mohammad Mehedy Masud, et al.
IEEE Access (2023) Vol. 11, pp. 45910-45935
Open Access | Times Cited: 4
Assessing daily energy intake in adult women: validity of a food-recognition mobile application compared to doubly labelled water
Michele Serra, Daniela Alceste, Florian Häuser, et al.
Frontiers in Nutrition (2023) Vol. 10
Open Access | Times Cited: 3
Michele Serra, Daniela Alceste, Florian Häuser, et al.
Frontiers in Nutrition (2023) Vol. 10
Open Access | Times Cited: 3
A fine-grained recognition technique for identifying Chinese food images
Shuo Feng, Yangang Wang, Jianhong Gong, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21565-e21565
Open Access | Times Cited: 3
Shuo Feng, Yangang Wang, Jianhong Gong, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21565-e21565
Open Access | Times Cited: 3
Nutrient Estimation from Images of Food for Diet Management in Diabetic Patients
Rajeshwari Sajith, Chandan Khatua, Deepjyoti Kalita, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Rajeshwari Sajith, Chandan Khatua, Deepjyoti Kalita, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Dining Bowl Modeling and Optimization for Single-Image-Based Dietary Assessment
Boyang Li, Mingui Sun, Zhi-Hong Mao, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 6058-6058
Open Access
Boyang Li, Mingui Sun, Zhi-Hong Mao, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 6058-6058
Open Access
HealthMate: A Comprehensive Mobile Application for Personalized Health and Fitness Management
Aditya Soraganvi, Maya Bembde, Nilambari Todakari, et al.
(2024), pp. 1304-1309
Closed Access
Aditya Soraganvi, Maya Bembde, Nilambari Todakari, et al.
(2024), pp. 1304-1309
Closed Access
Innovative food supply chain through spatial computing technologies: A review
Peihua Ma, Xiaoxue Jia, Ming Gao, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 23, Iss. 6
Open Access
Peihua Ma, Xiaoxue Jia, Ming Gao, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 23, Iss. 6
Open Access
Artificial Neural Network Algorithm in Nutritional Assessment
David Oyekunle, Alain Claude Bah Esseme, Matthew Abiola Oladipupo, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 253-276
Closed Access
David Oyekunle, Alain Claude Bah Esseme, Matthew Abiola Oladipupo, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 253-276
Closed Access
Nutrition Estimation and Dietary Assessment in Indian Food through Deep Learning
Amit Kumar Nandanwar, Mohit Kushwaha, Kondabathula Vishwatej, et al.
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024), pp. 1-7
Closed Access
Amit Kumar Nandanwar, Mohit Kushwaha, Kondabathula Vishwatej, et al.
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024), pp. 1-7
Closed Access
Automatic Image Recognition Meal Reporting among Young Adults: A Randomized Controlled Trial (Preprint)
Prasan Kumar Sahoo, Sherry Yueh-Hsia Chiu, Yu‐Sheng Lin, et al.
(2024)
Open Access
Prasan Kumar Sahoo, Sherry Yueh-Hsia Chiu, Yu‐Sheng Lin, et al.
(2024)
Open Access
Empowering Diabetics: Advancements in Smartphone-Based Food Classification, Volume Measurement, and Nutritional Estimation
Afnan Ahmed Crystal, Maria Valero, Valentina Nino, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4089-4089
Open Access
Afnan Ahmed Crystal, Maria Valero, Valentina Nino, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4089-4089
Open Access
Nutrient Intake Estimation System Integrating Semantic Segmentation and Point Cloud Modeling Techniques
Chin‐Hsuan Lin, Jung-Tang Huang
(2024), pp. 539-543
Closed Access
Chin‐Hsuan Lin, Jung-Tang Huang
(2024), pp. 539-543
Closed Access