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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:

Deep learning for osteoarthritis classification in temporomandibular joint
Won Seok Jung, Kyung‐Eun Lee, Bong‐Jik Suh, et al.
Oral Diseases (2021) Vol. 29, Iss. 3, pp. 1050-1059
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Incorporation of “Artificial Intelligence” for Objective Pain Assessment: A Comprehensive Review
Salah N. El-Tallawy, Joseph V. Pergolizzi, Ingrid Vasiliu-Feltes, et al.
Pain and Therapy (2024) Vol. 13, Iss. 3, pp. 293-317
Open Access | Times Cited: 23
Personalized dental medicine, artificial intelligence, and their relevance for dentomaxillofacial imaging
Kuo Feng Hung, Andy Wai Kan Yeung, Michael M. Bornstein, et al.
Dentomaxillofacial Radiology (2022) Vol. 52, Iss. 1
Open Access | Times Cited: 48
Automation and deep (machine) learning in temporomandibular joint disorder radiomics: A systematic review
Taseef Hasan Farook, James Dudley
Journal of Oral Rehabilitation (2023) Vol. 50, Iss. 6, pp. 501-521
Open Access | Times Cited: 37
Deep learning and artificial intelligence in dental diagnostic imaging
Akitoshi Katsumata
Japanese Dental Science Review (2023) Vol. 59, pp. 329-333
Open Access | Times Cited: 28
Analysis of the Use of Sample Size and Effect Size Calculations in a Temporomandibular Disorders Randomised Controlled Trial—Short Narrative Review
Grzegorz Zieliński, Piotr Gawda
Journal of Personalized Medicine (2024) Vol. 14, Iss. 6, pp. 655-655
Open Access | Times Cited: 14
Applications of artificial intelligence in dentomaxillofacial imaging–a systematic review
Serlie Hartoonian, Matine Hosseini, Iman Yousefi, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2024) Vol. 138, Iss. 5, pp. 641-655
Closed Access | Times Cited: 9
Deep Learning in Diagnosis of Dental Anomalies and Diseases: A Systematic Review
Esra Sivari, Güler Burcu Senirkentli, Erkan Bostancı, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2512-2512
Open Access | Times Cited: 21
Image preprocessing with contrast-limited adaptive histogram equalization improves the segmentation performance of deep learning for the articular disk of the temporomandibular joint on magnetic resonance images
Yuki Yoshimi, Yuichi Mine, Shota Ito, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2023) Vol. 138, Iss. 1, pp. 128-141
Closed Access | Times Cited: 20
Temporomandibular Joint Osteoarthritis Diagnosis Employing Artificial Intelligence: Systematic Review and Meta-Analysis
Oana Almășan, Daniel-Corneliu Leucuţa, Mihaela Hedeșiu, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 3, pp. 942-942
Open Access | Times Cited: 19
A Comprehensive Review of Artificial Intelligence Based Algorithms Regarding Temporomandibular Joint Related Diseases
Şifa Özsarı, Mehmet Serdar Güzel, Dilek Yılmaz, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2700-2700
Open Access | Times Cited: 18
Deep learning for temporomandibular joint arthropathies: A systematic review and meta‐analysis
Rata Rokhshad, Hossein Mohammad‐Rahimi, Fatemeh Sohrabniya, et al.
Journal of Oral Rehabilitation (2024) Vol. 51, Iss. 8, pp. 1632-1644
Closed Access | Times Cited: 8
Artificial intelligence in osteoarthritis detection: A systematic review and meta-analysis
Soheil Mohammadi, Mohammad Amin Salehi, Ali Jahanshahi, et al.
Osteoarthritis and Cartilage (2023) Vol. 32, Iss. 3, pp. 241-253
Closed Access | Times Cited: 15
Machine learning-based medical imaging diagnosis in patients with temporomandibular disorders: a diagnostic test accuracy systematic review and meta-analysis
Yunan Zhang, Tao Zhu, Yunhao Zheng, et al.
Clinical Oral Investigations (2024) Vol. 28, Iss. 3
Closed Access | Times Cited: 5
Artificial Intelligence–Related Dental Research: Bibliometric and Altmetric Analysis
Wei Lu, Xueqian Yu, Yueyang Li, et al.
International Dental Journal (2024)
Open Access | Times Cited: 5
Machine-learning–based detection of degenerative temporomandibular joint diseases using lateral cephalograms
Xinyi Fang, Xin Xiong, Jiu Lin, et al.
American Journal of Orthodontics and Dentofacial Orthopedics (2023) Vol. 163, Iss. 2, pp. 260-271.e5
Closed Access | Times Cited: 13
Classification of temporomandibular joint osteoarthritis on cone beam computed tomography images using artificial intelligence system
Gözde Eşer, Şuayip Burak Duman, İbrahim Şevki Bayrakdar, et al.
Journal of Oral Rehabilitation (2023) Vol. 50, Iss. 9, pp. 758-766
Open Access | Times Cited: 13
Newer Technological Advances: A Step Towards Better Dental Care
Mohan Kumar Pasupuleti, Supraja Salwaji, Mahitha Dantuluri, et al.
The Open Dentistry Journal (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 4
A Review of Voice-Based Pain Detection in Adults Using Artificial Intelligence
Sahar Borna, Clifton R. Haider, Karla C. Maita, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 500-500
Open Access | Times Cited: 10
A Deep Learning-Based Approach to Detect Lamina Dura Loss on Periapical Radiographs
Büşra Şahin, İlknur Eninanç
Deleted Journal (2025)
Closed Access
Automated Diagnosis and Classification of Temporomandibular Joint Degenerative Joint Disease via Artificial Intelligence Using CBCT Imaging
Weiyu Mao, Yuanyuan Fang, Z. Jane Wang, et al.
Journal of Dentistry (2025), pp. 105592-105592
Closed Access
Bone Data Lake: A storage platform for bone texture analysis
M. Wolski, Tomasz Woloszynski, Gwidon Stachowiak, et al.
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2025)
Closed Access
Deep learning algorithms for detecting fractured instruments in root canals
Ekin Deniz Çatmabacak, İrem Çetinkaya
BMC Oral Health (2025) Vol. 25, Iss. 1
Open Access
Application of Machine Learning in the Diagnosis of Temporomandibular Disorders: An Overview
Xiayanran Wu, Yunhao Zheng, Chao He, et al.
Oral Diseases (2025)
Open Access
Artificial Intelligence Applications in Oral Health Imaging
Manal Hamdan, Zaid Badr, Sergio Uribe
(2025), pp. 23-39
Closed Access
Improving TMJ Diagnosis: A Deep Learning Approach for Detecting Mandibular Condyle Bone Changes
Kader Azlağ Pekince, Adem Pekince, Buse Yaren Kazangirler
Diagnostics (2025) Vol. 15, Iss. 8, pp. 1022-1022
Open Access
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