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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:

A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study
Eman Shaheen, André Ferreira Leite, Khalid Alqahtani, et al.
Journal of Dentistry (2021) Vol. 115, pp. 103865-103865
Closed Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Artificial intelligence and augmented reality for guided implant surgery planning: A proof of concept
Francesco Mangano, Oleg Admakin, Henriette Lerner, et al.
Journal of Dentistry (2023) Vol. 133, pp. 104485-104485
Closed Access | Times Cited: 59
A review of deep learning in dentistry
Chenxi Huang, Jiaji Wang, Shuihua Wang‎, et al.
Neurocomputing (2023) Vol. 554, pp. 126629-126629
Open Access | Times Cited: 42
Artificial intelligence serving pre-surgical digital implant planning: A scoping review
Bahaaeldeen M. Elgarba, Rocharles Cavalcante Fontenele, Mihai Tarce, et al.
Journal of Dentistry (2024) Vol. 143, pp. 104862-104862
Open Access | Times Cited: 14
Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography:A validation study
Flavia Preda, Nermin Morgan, Adriaan Van Gerven, et al.
Journal of Dentistry (2022) Vol. 124, pp. 104238-104238
Closed Access | Times Cited: 56
Influence of dental fillings and tooth type on the performance of a novel artificial intelligence-driven tool for automatic tooth segmentation on CBCT images – A validation study
Rocharles Cavalcante Fontenele, Maurício do Nascimento Gerhardt, Jáder Camilo Pinto, et al.
Journal of Dentistry (2022) Vol. 119, pp. 104069-104069
Open Access | Times Cited: 51
Automated detection and labelling of teeth and small edentulous regions on cone-beam computed tomography using convolutional neural networks
Maurício do Nascimento Gerhardt, Rocharles Cavalcante Fontenele, André Ferreira Leite, et al.
Journal of Dentistry (2022) Vol. 122, pp. 104139-104139
Open Access | Times Cited: 44
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: 44
Tooth automatic segmentation from CBCT images: a systematic review
Alessandro Polizzi, Vincenzo Quinzi, Vincenzo Ronsivalle, et al.
Clinical Oral Investigations (2023) Vol. 27, Iss. 7, pp. 3363-3378
Closed Access | Times Cited: 38
Convolutional neural network‐based automated maxillary alveolar bone segmentation on cone‐beam computed tomography images
Rocharles Cavalcante Fontenele, Maurício do Nascimento Gerhardt, Fernando Fortes Pícoli, et al.
Clinical Oral Implants Research (2023) Vol. 34, Iss. 6, pp. 565-574
Open Access | Times Cited: 30
Contemporary Role and Applications of Artificial Intelligence in Dentistry
Talal Bonny, Wafaa Al Nassan, Khaled Obaideen, et al.
F1000Research (2023) Vol. 12, pp. 1179-1179
Open Access | Times Cited: 27
Deep learning-based segmentation of dental implants on cone-beam computed tomography images: A validation study
Bahaaeldeen M. Elgarba, Stijn Van Aelst, Abdullah Swaity, et al.
Journal of Dentistry (2023) Vol. 137, pp. 104639-104639
Open Access | Times Cited: 25
Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction
Jiaxiang Liu, Jin Hao, Hangzheng Lin, et al.
Patterns (2023) Vol. 4, Iss. 9, pp. 100825-100825
Open Access | Times Cited: 25
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: 12
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
A novel deep learning-based perspective for tooth numbering and caries detection
Baturalp Ayhan, Enes Ayan, Yusuf Bayraktar
Clinical Oral Investigations (2024) Vol. 28, Iss. 3
Open Access | Times Cited: 10
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: 8
Deep learning-based tooth segmentation methods in medical imaging: A review
Xiaokang Chen, Nan Ma, Tongkai Xu, et al.
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2024) Vol. 238, Iss. 2, pp. 115-131
Closed Access | Times Cited: 8
Deep convolutional neural network-based automated segmentation and classification of teeth with orthodontic brackets on cone-beam computed-tomographic images: a validation study
Khalid Alqahtani, Reinhilde Jacobs, A. Smolders, et al.
European Journal of Orthodontics (2022) Vol. 45, Iss. 2, pp. 169-174
Closed Access | Times Cited: 34
Three-dimensional maxillary virtual patient creation by convolutional neural network-based segmentation on cone-beam computed tomography images
Fernanda Nogueira-Reis, Nermin Morgan, Stefanos K. Nomidis, et al.
Clinical Oral Investigations (2022) Vol. 27, Iss. 3, pp. 1133-1141
Open Access | Times Cited: 27
Analysis of Deep Learning Techniques for Dental Informatics: A Systematic Literature Review
Samah AbuSalim, Nordin Zakaria, Md Rafiqul Islam, et al.
Healthcare (2022) Vol. 10, Iss. 10, pp. 1892-1892
Open Access | Times Cited: 27
The Application of Deep Learning on CBCT in Dentistry
Wenjie Fan, Jiaqi Zhang, Nan Wang, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2056-2056
Open Access | Times Cited: 19
Novel method for augmented reality guided endodontics: An in vitro study
Marco Farronato, Andrés Torres, Mariano Simón Pedano, et al.
Journal of Dentistry (2023) Vol. 132, pp. 104476-104476
Closed Access | Times Cited: 17
Biomechanical effects of clear aligners with different thicknesses and gingival-margin morphology for appliance design optimization
Xinwei Lyu, Xing Cao, Jiayin Yan, et al.
American Journal of Orthodontics and Dentofacial Orthopedics (2023) Vol. 164, Iss. 2, pp. 239-252
Closed Access | Times Cited: 17
Full virtual patient generated by artificial intelligence-driven integrated segmentation of craniomaxillofacial structures from CBCT images
Fernanda Nogueira-Reis, Nermin Morgan, Isti Rahayu Suryani, et al.
Journal of Dentistry (2023) Vol. 141, pp. 104829-104829
Open Access | Times Cited: 15
Convolutional neural network for automated tooth segmentation on intraoral scans
Xiaotong Wang, Khalid Alqahtani, Tom Van Bogaert, et al.
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6
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