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 systematic review of artificial intelligence techniques for oral cancer detection
C. Kavyashree, H S Vimala, J Shreyas
Healthcare Analytics (2024) Vol. 5, pp. 100304-100304
Open Access | Times Cited: 16

Showing 16 citing articles:

Advanced deep learning algorithms in oral cancer detection: Techniques and applications
Dipali Wankhade, Chitra Dhawale, Mrunal Meshram
Journal of Environmental Science and Health Part C (2025), pp. 1-26
Closed Access | Times Cited: 1

Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions
Tuan D. Pham, Muy‐Teck Teh, Domniki Chatzopoulou, et al.
Current Oncology (2024) Vol. 31, Iss. 9, pp. 5255-5290
Open Access | Times Cited: 5

Automatic oral cancer detection using deep learning techniques
T. Sundari, M. Maheswari
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107731-107731
Closed Access

AI-powered oral cancer detection: A breakthrough in dental diagnostics
Asmita Kharche, Ankita Mathur, Vini Mehta
Oral Oncology Reports (2024) Vol. 10, pp. 100293-100293
Open Access | Times Cited: 2

Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection
Wenyi Lian, Joakim Lindblad, Christina Stark, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109498-109498
Open Access | Times Cited: 2

Assessing Artificial Intelligence in Oral Cancer Diagnosis: A Systematic Review
Vishnu Priya Veeraraghavan, Giuseppe Minervini, Diana Russo, et al.
Journal of Craniofacial Surgery (2024)
Closed Access | Times Cited: 1

Can artificial intelligence (AI) Predict the risk of oral cancer?
Bharath Kumar Jayam, Aravind Kumar Subramanian
Oral Oncology Reports (2024) Vol. 9, pp. 100237-100237
Open Access

Emerging role of liquid biopsies and advanced imaging in early detection and monitoring of oral oncology
S. Manikandan, Sundaram Vickram
Oral Oncology Reports (2024) Vol. 10, pp. 100377-100377
Open Access

Unlocking oral oncology: AI-powered biomarker discovery for early detection
S. Karishma, A. Saravanan
Oral Oncology Reports (2024) Vol. 10, pp. 100427-100427
Open Access

An improved deep convolutional neural network fororal cancer detection using pretrained models
C Kavyashree, H S Vimala, J Shreyas
Research Square (Research Square) (2024)
Open Access

Oral Cancer Using Deep Learning and Auto-Fluorescence Image Analysis
Muhammed Yaseer P, Arul Xavier V M, S S Shyni
(2024), pp. 1-6
Closed Access

Applications of Artificial Intelligence in the Analysis of Images of the Oral Cavity for Cancer Detection
Adarsh Kudva, Vidya Kudva, Vathsala Patil, et al.
Biological and medical physics series (2024), pp. 157-169
Closed Access

Integrating Machine Learning with Web-Based Tools for Personalized Prognosis in Oral Adenoid Cystic Carcinoma
Sakhr Alshwayyat, Mohammad Alkhatib, Hebah Almahariq, et al.
Journal of Stomatology Oral and Maxillofacial Surgery (2024), pp. 102143-102143
Closed Access

Tongluo Jiedu as an adjuvant therapy for oral cancer
Sarah Monserrat Lomelí Martínez, Melissa Martínez Nieto, Ana Esther Mercado González
World Journal of Clinical Cases (2024) Vol. 13, Iss. 5
Closed Access

Diagnostic Modalities in Oral Pathology: Integrating Advance Diagnostic Techniques to Differentiate Malignant and Benign Lesions
Kanza Iqbal, Kanwal Fatima, Madeeha Minhas, et al.
Pakistan Journal of Health Sciences (2024)
Closed Access

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