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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:

Applications and performance of artificial intelligence models in removable prosthodontics: A literature review
Islam E. Ali, Chihiro Tanikawa, Manabu Chikai, et al.
Journal of Prosthodontic Research (2023) Vol. 68, Iss. 3, pp. 358-367
Open Access | Times Cited: 10

Showing 10 citing articles:

Artificial Intelligence and its Implications in the Management of Orofacial Diseases - A Systematic Review
Maria Micheal Morise Mahrous, Maryam Bin Dukhan, Hasan Ali, et al.
The Open Dentistry Journal (2025) Vol. 19, Iss. 1
Open Access
Automated design prediction for definitive obturator prostheses: A case‐based reasoning study
Islam E. Ali, Mariko Hattori, Yuka I. Sumita, et al.
Journal of Prosthodontics (2025)
Closed Access
A comprehensive narrative review exploring the current landscape of digital complete denture technology and advancements
Chan Park
Heliyon (2025) Vol. 11, Iss. 2, pp. e41870-e41870
Open Access
Verification of the accuracy and design time of crowns designed with artificial intelligence
Koudai Nagata, Eiji Inoue, Toshifumi Nakashizu, et al.
The Journal of Advanced Prosthodontics (2025) Vol. 17, Iss. 1, pp. 1-1
Open Access
The Potential of Artificial Intelligence in Prosthodontics: A Comprehensive Review
Ibrahim Saleh Aljulayfi, Ali Almatrafi, Ramzi O. Althubaitiy, et al.
Medical Science Monitor (2024) Vol. 30
Open Access | Times Cited: 2
Aesthetics in Removable Partial Dentures: Modification of the Proximal Plate and Retentive Lamellae in Kennedy Class II Scenarios
Saverio Ceraulo
Prosthesis (2024) Vol. 6, Iss. 1, pp. 107-118
Open Access | Times Cited: 1
Machine Learning Prediction of Tongue Pressure in Elderly Patients with Head and Neck Tumor: A Cross-Sectional Study
Xuewei Han, Ziyi Bai, Kaoru Mogushi, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 8, pp. 2363-2363
Open Access
Predicting maximum occlusal force and tongue pressure using decision tree analysis in patients diagnosed with head and neck tumors
Ziyi Bai, Xuewei Han, Yuka I. Sumita, et al.
Journal of Prosthetic Dentistry (2024)
Closed Access
Evaluation of the methods for determining accuracy of fit and precision of RPD framework in Digital (3D printed, milled) and conventional RPDs - a systematic review
Saurabh Chaturvedi, Nasser M. Alqahtani, Mohammed A. Al-Qarni, et al.
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access
Aesthetics in Removable Partial Dentures: Modification of the Proximal Plate and Retentive Lamellae in Kennedy's Second Classes
Saverio Ceraulo
(2023)
Open Access | Times Cited: 1
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