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:

Artificial intelligence in the diagnosis of dental diseases on panoramic radiographs: a preliminary study
Junhua Zhu, Zhi Chen, Jing Zhao, et al.
BMC Oral Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Empowering Modern Dentistry: The Impact of Artificial Intelligence on Patient Care and Clinical Decision Making
Zeliha Merve Semerci, Selmi Yardımcı
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1260-1260
Open Access | Times Cited: 19

Periapical Lesions in Panoramic Radiography and CBCT Imaging—Assessment of AI’s Diagnostic Accuracy
Wojciech Kazimierczak, Róża Wajer, Adrian Wajer, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 9, pp. 2709-2709
Open Access | Times Cited: 17

Applications of artificial intelligence in the utilisation of imaging modalities in dentistry: A systematic review and meta-analysis of in-vitro studies
Mohammad Khursheed Alam, Sultan Abdulkareem Ali Alftaikhah, Rakhi Issrani, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e24221-e24221
Open Access | Times Cited: 10

Advancing Dental Diagnostics: A Review of Artificial Intelligence Applications and Challenges in Dentistry
Dhiaa Musleh, Haya Almossaeed, Fay Balhareth, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 6, pp. 66-66
Open Access | Times Cited: 9

Diagnostic measures for monitoring and follow‐up in periodontology and implant dentistry
Christoph A. Ramseier
Periodontology 2000 (2024) Vol. 95, Iss. 1, pp. 129-155
Open Access | Times Cited: 9

Automatic Segmentation of the Nasolacrimal Canal: Application of the nnU-Net v2 Model in CBCT Imaging
Emre Haylaz, İsmail Gümüşsoy, Şuayip Burak Duman, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 3, pp. 778-778
Open Access | Times Cited: 1

Automating Dental Condition Detection on Panoramic Radiographs: Challenges, Pitfalls, and Opportunities
Sorana Mureşanu, Mihaela Hedeșiu, Liviu Iacob, et al.
Diagnostics (2024) Vol. 14, Iss. 20, pp. 2336-2336
Open Access | Times Cited: 6

A comprehensive survey of deep learning algorithms and applications in dental radiograph analysis
Suvarna Bhat, Gajanan K. Birajdar, Mukesh D. Patil
Healthcare Analytics (2023) Vol. 4, pp. 100282-100282
Open Access | Times Cited: 12

A novel deep learning-based pipeline architecture for pulp stone detection on panoramic radiographs
Ceyda Gürhan, Hasan Yiğit, Selim F. Yilmaz, et al.
Oral Radiology (2025)
Closed Access

Detection and Diagnosis of Carious Lesions: Factual Clinical Approaches
Amel Slimani, Elodie Terrer, David J. Manton, et al.
(2025), pp. 23-46
Closed Access

Applications of artificial intelligence for surgical extraction in stomatology: a systematic review
Piaopiao Qiu, Rongkai Cao, Zhaoyang Li, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2024) Vol. 138, Iss. 3, pp. 346-361
Closed Access | Times Cited: 3

Artificial Intelligence (AI) Assessment of Pediatric Dental Panoramic Radiographs (DPRs): A Clinical Study
Natalia Turosz, Kamila Chęcińska, Maciej Chęciński, et al.
Pediatric Reports (2024) Vol. 16, Iss. 3, pp. 794-805
Open Access | Times Cited: 3

How Artificial Inelegance Is Transforming Aesthetic Dentistry: A Review
Tamer M. Hamdy
Current Oral Health Reports (2024) Vol. 11, Iss. 2, pp. 95-104
Closed Access | Times Cited: 2

Innovating dental diagnostics: ChatGPT's accuracy on diagnostic challenges
Arman Danesh, Arsalan Danesh, Farzad Danesh
Oral Diseases (2024)
Closed Access | Times Cited: 2

Can GPT-4 be a viable alternative for discussing complex cases in digital oral radiology? A critical analysis.
Lucas Alves da Mota Santana, Lara Góis Floresta, Êmilly Victória Maciel Alves, et al.
PubMed (2023) Vol. 22, pp. 749-751
Closed Access | Times Cited: 5

X-ray Image Analysis for Dental Disease: A Deep Learning Approach Using EfficientNets
Zeeshan Ali, Zeeshan Ali, Muhammad Sajid Maqbool, et al.
VFAST Transactions on Software Engineering (2024) Vol. 12, Iss. 3, pp. 147-165
Open Access | Times Cited: 1

ResNet Tabanlı PSPNet Kullanarak Panoramik Görüntülerde Gömülü Diş Segmentasyon Analizi
Meryem Durmuş, Burhan Ergen, Adalet Çelebi, et al.
Fırat Üniversitesi Mühendislik Bilimleri Dergisi (2024) Vol. 36, Iss. 1, pp. 159-166
Open Access

Combining public datasets for automated tooth assessment in panoramic radiographs
Niels van Nistelrooij, Khalid El Ghoul, Tong Xi, et al.
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access

INNS: A Novel Identification of Machine Learning Based Dental Disease Identification Scheme Using Improved Neural Network Strategy
A. Jaya Mabel Rani, R. Valli Suseela, R Anbunathan, et al.
(2024), pp. 1-6
Closed Access

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