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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:

Three-axis measurements with a novel system for 3D plantar foot scanning: iPhone X
Javier Alfaro-Santafé, Antonio Gómez-Bernal, Carla Lanuza-Cerzócimo, et al.
Footwear Science (2020) Vol. 12, Iss. 2, pp. 123-131
Closed Access | Times Cited: 11

Showing 11 citing articles:

Comparison of iPad Pro®’s LiDAR and TrueDepth Capabilities with an Industrial 3D Scanning Solution
Maximilian Vogt, Adrian Rips, Claus Emmelmann
Technologies (2021) Vol. 9, Iss. 2, pp. 25-25
Open Access | Times Cited: 93
Accuracy of Mobile Device–Compatible 3D Scanners for Facial Digitization: Systematic Review and Meta-Analysis
Hang‐Nga Mai, Du‐Hyeong Lee
Journal of Medical Internet Research (2020) Vol. 22, Iss. 10, pp. e22228-e22228
Open Access | Times Cited: 45
Facial Scanning Accuracy with Stereophotogrammetry and Smartphone Technology in Children: A Systematic Review
Vincenzo Quinzi, Alessandro Polizzi, Vincenzo Ronsivalle, et al.
Children (2022) Vol. 9, Iss. 9, pp. 1390-1390
Open Access | Times Cited: 21
Accuracy (trueness and precision) of four tablet-based applications for three-dimensional facial scanning: An in-vitro study
Deise Caldas Kühlman, Mohammed Almuzian, Christianne Coppini, et al.
Journal of Dentistry (2023) Vol. 135, pp. 104533-104533
Closed Access | Times Cited: 11
Semi‐automatic measurements of foot morphological parameters from 3D plantar foot scans
Giulia Rogati, Alberto Leardini, Maurizio Ortolani, et al.
Journal of Foot and Ankle Research (2021) Vol. 14, Iss. 1
Open Access | Times Cited: 17
The Effect of Perioral Scan and Artificial Skin Markers on the Accuracy of Virtual Dentofacial Integration: Stereophotogrammetry Versus Smartphone Three-Dimensional Face-Scanning
Hang‐Nga Mai, Du‐Hyeong Lee
International Journal of Environmental Research and Public Health (2020) Vol. 18, Iss. 1, pp. 229-229
Open Access | Times Cited: 15
iPhone-Based Cartilage Topography Scanning Yields Similar Results to Computed Tomography Scanning
Hailey P. Huddleston, Kevin Credille, Mohamad Alzein, et al.
Arthroscopy Sports Medicine and Rehabilitation (2024) Vol. 6, Iss. 4, pp. 100936-100936
Open Access | Times Cited: 1
Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges
Wesley Tay, Rina Yu Chin Quek, Bhupinder Kaur, et al.
JMIR Public Health and Surveillance (2022) Vol. 8, Iss. 7, pp. e33478-e33478
Open Access | Times Cited: 7
JUSTIFICATION FOR THE CHOICE OF MOBILE APPLICATIONS FOR CREATING AND ORGANIZING A FASHIONABLE WARDROBE
Oksana ZAKHARKEVICH, Julia Koshevko, Sergii LYSENKO
Herald of Khmelnytskyi National University Technical sciences (2022) Vol. 305, Iss. 1, pp. 25-30
Open Access | Times Cited: 3
investigatin the accuracy of iPhone LiDAR in preparing point clouds of tree trunks (Case study: Middle Zagros - Oak forests of Lorestan province)
Elham Karimzadeh jafari, Javad Soosani, Masood Varshosaz, et al.
Journal of Geomatics Science and Technology (2023) Vol. 12, Iss. 3, pp. 63-73
Open Access
Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges (Preprint)
Wesley Tay, Rina Yu Chin Quek, Bhupinder Kaur, et al.
(2021)
Open Access
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