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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:

A pilot study to determine whether using a lightweight, wearable micro-camera improves dietary assessment accuracy and offers information on macronutrients and eating rate
Claire Pettitt, Jindong Liu, Richard M. Kwasnicki, et al.
British Journal Of Nutrition (2015) Vol. 115, Iss. 1, pp. 160-167
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods
Carol J. Boushey, Melissa Spoden, Fengqing Zhu, et al.
Proceedings of The Nutrition Society (2016) Vol. 76, Iss. 3, pp. 283-294
Open Access | Times Cited: 298
Validity of Dietary Assessment Methods When Compared to the Method of Doubly Labeled Water: A Systematic Review in Adults
Tracy Burrows, Yan Yee Ho, Megan E. Rollo, et al.
Frontiers in Endocrinology (2019) Vol. 10
Open Access | Times Cited: 151
Doubly labelled water assessment of energy expenditure: principle, practice, and promise
Klaas R. Westerterp
European Journal of Applied Physiology (2017) Vol. 117, Iss. 7, pp. 1277-1285
Open Access | Times Cited: 160
Analysis of energy metabolism in humans: A review of methodologies
Yan Y. Lam, Éric Ravussin
Molecular Metabolism (2016) Vol. 5, Iss. 11, pp. 1057-1071
Open Access | Times Cited: 122
Automatic food detection in egocentric images using artificial intelligence technology
Wenyan Jia, Yuecheng Li, Ruowei Qu, et al.
Public Health Nutrition (2018), pp. 1-12
Open Access | Times Cited: 89
A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment
Ghalib Ahmed Tahir, Chu Kiong Loo
Healthcare (2021) Vol. 9, Iss. 12, pp. 1676-1676
Open Access | Times Cited: 56
Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications
Anuja Phalle, Devaki Gokhale
Frontiers in Nutrition (2025) Vol. 12
Open Access | Times Cited: 1
Reported Energy Intake Accuracy Compared to Doubly Labeled Water and Usability of the Mobile Food Record among Community Dwelling Adults
Carol J. Boushey, Melissa Spoden, Edward J. Delp, et al.
Nutrients (2017) Vol. 9, Iss. 3, pp. 312-312
Open Access | Times Cited: 72
Automatic diet monitoring: a review of computer vision and wearable sensor-based methods
Hamid Hassannejad, Guido Matrella, Paolo Ciampolini, et al.
International Journal of Food Sciences and Nutrition (2017) Vol. 68, Iss. 6, pp. 656-670
Closed Access | Times Cited: 71
Review of the validity and feasibility of image-assisted methods for dietary assessment
Christoph Höchsmann, Corby K. Martin
International Journal of Obesity (2020) Vol. 44, Iss. 12, pp. 2358-2371
Open Access | Times Cited: 53
Portion size estimation in dietary assessment: a systematic review of existing tools, their strengths and limitations
Birdem Amoutzopoulos, Polly Page, Caireen Roberts, et al.
Nutrition Reviews (2019) Vol. 78, Iss. 11, pp. 885-900
Open Access | Times Cited: 49
Emerging trends of technology-based dietary assessment: a perspective study
Xueyin Zhao, Xiaochen Xu, Xiuyan Li, et al.
European Journal of Clinical Nutrition (2020) Vol. 75, Iss. 4, pp. 582-587
Closed Access | Times Cited: 39
Standardised and Objective Dietary Intake Assessment Tool (SODIAT): Protocol of a dual-site dietary intervention study to integrate dietary assessment methods
Eka Bobokhidze, Michelle Weech, Katerina Petropoulou, et al.
F1000Research (2025) Vol. 13, pp. 1144-1144
Open Access
Meal Microstructure Characterization from Sensor-Based Food Intake Detection
Abul Doulah, Muhammad Farooq, Xin Yang, et al.
Frontiers in Nutrition (2017) Vol. 4
Open Access | Times Cited: 45
Snap‐N‐Send: A valid and reliable method for assessing the energy intake of elite adolescent athletes
Nessan Costello, Kevin Deighton, Joshua Dyson, et al.
European Journal of Sport Science (2017) Vol. 17, Iss. 8, pp. 1044-1055
Open Access | Times Cited: 41
Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes
Kaylen J. Pfisterer, Robert Amelard, Audrey G. Chung, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 19
Usefulness of Wearable Cameras as a Tool to Enhance Chronic Disease Self-Management: Scoping Review
Ralph Maddison, Susie Cartledge, Michelle Rogerson, et al.
JMIR mhealth and uhealth (2018) Vol. 7, Iss. 1, pp. e10371-e10371
Open Access | Times Cited: 37
Food volume estimation for quantifying dietary intake with a wearable camera
Anqi Gao, Frank P.-W. Lo, Benny Lo
(2018), pp. 110-113
Closed Access | Times Cited: 34
Validity of the Remote Food Photography Method Against Doubly Labeled Water Among Minority Preschoolers
Theresa A. Nicklas, Rabab Saab, Noemi Islam, et al.
Obesity (2017) Vol. 25, Iss. 9, pp. 1633-1638
Open Access | Times Cited: 31
Scaling up Dietary Data for Decision-Making in Low-Income Countries: New Technological Frontiers
Winnie Bell, Brooke Colaiezzi, Cathleen Prata, et al.
Advances in Nutrition (2017) Vol. 8, Iss. 6, pp. 916-932
Open Access | Times Cited: 29
Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints
Sai Krupa Das, Akari Miki, Caroline M. Blanchard, et al.
Advances in Nutrition (2021) Vol. 13, Iss. 1, pp. 1-15
Open Access | Times Cited: 18
Automatic Dietary Monitoring Using Wearable Accessories
Giovanni Schiboni, Oliver Amft
Springer eBooks (2017), pp. 369-412
Closed Access | Times Cited: 23
Feasibility of Automated Cameras to Measure Screen Use in Adolescents
Claire Smith, Barbara C. Galland, Willemijn E. de Bruin, et al.
American Journal of Preventive Medicine (2019) Vol. 57, Iss. 3, pp. 417-424
Closed Access | Times Cited: 20
Supporting food choices in the Internet of People: Automatic detection of diet-related activities and display of real-time interventions via mixed reality headsets
Klaus Fuchs, Mirella Haldimann, Tobias Grundmann, et al.
Future Generation Computer Systems (2020) Vol. 113, pp. 343-362
Open Access | Times Cited: 20
Validation of a life-logging wearable camera method and the 24-h diet recall method for assessing maternal and child dietary diversity
Andrea L. S. Bulungu, Luigi Palla, Jan Priebe, et al.
British Journal Of Nutrition (2020) Vol. 125, Iss. 11, pp. 1299-1309
Open Access | Times Cited: 18
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