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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 Based Detection Tool for Impacted Mandibular Third Molar Teeth
Mahmut Emin Çelik
Diagnostics (2022) Vol. 12, Iss. 4, pp. 942-942
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

The current landscape of artificial intelligence in oral and maxillofacial surgery– a narrative review
Rushil R. Dang, Balram Kadaikal, Sam El Abbadi, et al.
Oral and Maxillofacial Surgery (2025) Vol. 29, Iss. 1
Closed Access | Times Cited: 1
Impacted lower third molar classification and difficulty index assessment: comparisons among dental students, general practitioners and deep learning model assistance
Paniti Achararit, Chawan Manaspon, Chavin Jongwannasiri, et al.
BMC Oral Health (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images
Abdullah Swaity, Bahaaeldeen M. Elgarba, Nermin Morgan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Performance evaluation of three versions of a convolutional neural network for object detection and segmentation using a multiclass and reduced panoramic radiograph dataset
Mónica Bonfanti‐Gris, Ángel Herrera, Sergio Paraíso-Medina, et al.
Journal of Dentistry (2024) Vol. 144, pp. 104891-104891
Open Access | Times Cited: 8
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: 7
Deep Learning in Diagnosis of Dental Anomalies and Diseases: A Systematic Review
Esra Sivari, Güler Burcu SENİRKENTLİ, Erkan Bostancı, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2512-2512
Open Access | Times Cited: 20
Deep Learning-Based Recognition of Periodontitis and Dental Caries in Dental X-ray Images
Ivane Delos Santos Chen, Chieh-Ming Yang, Mei‐Juan Chen, et al.
Bioengineering (2023) Vol. 10, Iss. 8, pp. 911-911
Open Access | Times Cited: 19
The role of deep learning for periapical lesion detection on panoramic radiographs
Berrin Çelik, Ertugrul Furkan Savaştaer, Halil İbrahim Kaya, et al.
Dentomaxillofacial Radiology (2023) Vol. 52, Iss. 8
Closed Access | Times Cited: 15
Hybrid CNN-Transformer Model for Accurate Impacted Tooth Detection in Panoramic Radiographs
Deniz Bora Küçük, Andaç İmak, Salih Taha Alperen Özçelik, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 244-244
Open Access
Artificial Intelligence‐Based Detection and Numbering of Dental Implants on Panoramic Radiographs
Yunus Balel, Kaan Sağtaş, Fatih Teke, et al.
Clinical Implant Dentistry and Related Research (2025) Vol. 27, Iss. 1
Open Access
Deep Learning-Assisted Diagnostic System: Apices and Odontogenic Sinus Floor Level Analysis in Dental Panoramic Radiographs
Peiyi Wu, Y.C. Lin, Yu-Jen Chang, et al.
Bioengineering (2025) Vol. 12, Iss. 2, pp. 134-134
Open Access
Development of an AI-Supported Clinical Tool for Assessing Mandibular Third Molar Tooth Extraction Difficulty Using Panoramic Radiographs and YOLO11 Sub-Models
Serap Akdoğan, Muhammet Üsame Özıç, Melek Taşsöker
Diagnostics (2025) Vol. 15, Iss. 4, pp. 462-462
Open Access
Automated Impaction Angulation Measurement of Mandibular Third Molars for Winter’s Classification Using Deep Learning
M. A. Mohd Ali, Daisuke Fujita, Hiromitsu Kishimoto, et al.
Journal of Advanced Computational Intelligence and Intelligent Informatics (2025) Vol. 29, Iss. 2, pp. 325-336
Open Access
Automated detection of dental restorations using deep learning on panoramic radiographs
Berrin Çelik, Mahmut Emin Çelik
Dentomaxillofacial Radiology (2022) Vol. 51, Iss. 8
Open Access | Times Cited: 24
Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography
Kang Hsu, Da‐Yo Yuh, Shao-Chieh Lin, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24
ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images
Andaç İmak, Adalet Çelebi, Onur Polat, et al.
Oral Radiology (2023) Vol. 39, Iss. 4, pp. 614-628
Closed Access | Times Cited: 12
Deep learning for classifying the stages of periodontitis on dental images: a systematic review and meta-analysis
Xin Li, Dan Zhao, Jinxuan Xie, et al.
BMC Oral Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11
Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach
Damla Torul, Hasan Akpınar, İbrahim Şevki Bayrakdar, et al.
Journal of Stomatology Oral and Maxillofacial Surgery (2024) Vol. 125, Iss. 4, pp. 101817-101817
Closed Access | Times Cited: 3
A fully automated classification of third molar development stages using deep learning
Omid Halimi Milani, Salih Furkan Atici, Veerasathpurush Allareddy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Automating Dental Condition Detection on Panoramic Radiographs: Challenges, Pitfalls, and Opportunities
Sorana Mureșanu, Mihaela Hedeșiu, Liviu Iacob, et al.
Diagnostics (2024) Vol. 14, Iss. 20, pp. 2336-2336
Open Access | Times Cited: 3
Deep learning model for the automated evaluation of contact between the lower third molar and inferior alveolar nerve on panoramic radiography
Katsuki Takebe, Tomoaki Imai, Seiko Kubota, et al.
Journal of Dental Sciences (2022) Vol. 18, Iss. 3, pp. 991-996
Open Access | Times Cited: 16
Root Dilaceration Using Deep Learning: A Diagnostic Approach
Berrin Çelik, Mahmut Emin Çelik
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8260-8260
Open Access | Times Cited: 9
Ai-aided diagnosis of oral X-ray images of periapical films based on deep learning
Lifeng Gao, Tongkai Xu, Meiyu Liu, et al.
Displays (2024) Vol. 82, pp. 102649-102649
Closed Access | Times Cited: 2
An Automatic Grading System for Orthodontically Induced External Root Resorption Based on Deep Convolutional Neural Network
Shuxi Xu, Houli Peng, Lanxin Yang, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 2
Tooth and Supporting Tissue Anomalies Detection from Panoramic Radiography Using Integrating Convolution Neural Network with Batch Normalization
Arna Fariza, Rengga Asmara, Eha Renwi Astuti, et al.
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 2, pp. 210-222
Open Access | Times Cited: 2
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