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:

Evaluation of a machine learning algorithms for predicting the dental age of adolescent based on different preprocessing methods
Shihui Shen, Xiaoyan Yuan, Jian Wang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 12

Showing 12 citing articles:

Artificial intelligence in forensic medicine and forensic dentistry.
Marin Vodanović, Marko Subašić, Denis Milošević, et al.
PubMed (2023) Vol. 41, Iss. 2, pp. 30-41
Closed Access | Times Cited: 17

Performance of Artificial Intelligence Models Designed for Automated Estimation of Age Using Dento-Maxillofacial Radiographs—A Systematic Review
Sanjeev B. Khanagar, Farraj Albalawi, Aram Alshehri, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1079-1079
Open Access | Times Cited: 5

Dental age estimation: A comparative study of convolutional neural network and Demirjian's method
Mustan Barış SİVRİ, Shahram Taheri, Rukiye Gözde Kırzıoğlu Ercan, et al.
Journal of Forensic and Legal Medicine (2024) Vol. 103, pp. 102679-102679
Closed Access | Times Cited: 4

Efficacy of the methods of age determination using artificial intelligence in panoramic radiographs — a systematic review
Tania Camila Niño-Sandoval, Ana Milena Doria-Martínez, Ruby Amparo Vásquez Escobar, et al.
International Journal of Legal Medicine (2024) Vol. 138, Iss. 4, pp. 1459-1496
Closed Access | Times Cited: 2

Güncel Pedodonti Çalışmaları IV
Kadriye Görkem Ulu Güzel, Eda Odabaş, İsmail Cihangir, et al.
(2024)
Open Access

A Comparison of Two Methods of Dental Age Estimation in a Population of Saudi Children and Adolescents
Heba H. Bakhsh, Nada A. Al-shehri, Alanoud Shahwan, et al.
Diagnostics (2024) Vol. 14, Iss. 17, pp. 1935-1935
Open Access

Artificial intelligence in forensic odontology: A review
Ruchika Raj, Rubeena Anjum, Pradakhshana Vijay, et al.
International Journal of Maxillofacial Imaging (2024) Vol. 10, Iss. 3, pp. 96-99
Closed Access

Do Machine Learning Methods Solve the Main Pitfall of Linear Regression in Dental Age Estimation?
Andrea Faragalli, Luigi Ferrante, Nikolaos Angelakopoulos, et al.
Forensic Science International (2024) Vol. 367, pp. 112353-112353
Open Access

Impact of Machine Learning and Prediction Models in the Diagnosis of Oral Health Conditions
Nihar Ranjan Panda, Soumya Subhashree Satapathy, Sanat Kumar Bhuyan, et al.
International Journal of Statistics in Medical Research (2023) Vol. 12, pp. 51-57
Open Access | Times Cited: 1

Machine learning assessment of dental age classification based on cone-beam CT images: a different approach
Özlem Doğan, Hatice Boyacıoğlu, Dinçer Göksülük
Dentomaxillofacial Radiology (2023) Vol. 53, Iss. 1, pp. 67-73
Open Access | Times Cited: 1

Dental Radiography in Age Determination: Contemporary Methods and Trends
Pornpattra Chulamanee, Wannakamon Panyarak
Oral Sciences Reports (2023) Vol. 44, Iss. 3, pp. 54-76
Open Access

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