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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 Machine Learning for Oral Cancer: From Precise Diagnosis to Precision Medicine
Rasheed Omobolaji Alabi, Alhadi Almangush, Mohammed Elmusrati, et al.
Frontiers in Oral Health (2022) Vol. 2
Open Access | Times Cited: 51

Showing 26-50 of 51 citing articles:

Analysis of Oral Cancer Detection based Segmentation and Classification using Deep Learning Algorithms
Pullaiah Pinnika, K. Venkata Rao
Advances in computer science research (2024), pp. 683-690
Open Access
Synthesis of clinical images for oral cancer detection and prediction using deep learning
Sourav Kumar Giri, S. Dash
Elsevier eBooks (2024), pp. 339-356
Closed Access
Deep Learning Framework for Early Detection of Oral Cancer
Jeevan Kumar, Vijay Pandey, Rajesh Tiwari
Advances in environmental engineering and green technologies book series (2024), pp. 353-372
Closed Access
Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification
Adeetya Patel, Camille Besombes, Theerthika Dillibabu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Artificial Intelligence Illuminates the Path: Revolutionizing oral oncology with Intelligent Insights
Hema Suryawanshi, Santosh Patil, Lakshmi Thangavelu, et al.
Oral Oncology Reports (2024) Vol. 9, pp. 100244-100244
Open Access
Exploring advanced machine learning techniques in oral cancer diagnosis
Bharath Kumar Jayam, Aravind Kumar Subramanian
Oral Oncology Reports (2024) Vol. 10, pp. 100275-100275
Open Access
AI model driven oral cancerous cells prediction using Bragg’s reflector fabry perot microcavity sensing
Sheethal Raj TG, Nirmala Hiremani
Journal of Optics (2024)
Closed Access
DETECTION OF ORAL SQUAMOUS CELL CARCINOMA USING PRE-TRAINED DEEP LEARNING MODELS
K. Dhanya, D. VENKATA VARA PRASAD, Y. V. Lokeswari
Experimental Oncology (2024) Vol. 46, Iss. 2, pp. 119-128
Open Access
Precision and speed: The AI revolution in oral squamous cell carcinoma detection
Mikropoulos Ch, Victor Hugo C. de Albuquerque, Vinutha Heggade, et al.
Journal of Oral Medicine Oral Surgery Oral Pathology and Oral Radiology (2024) Vol. 10, Iss. 3, pp. 170-177
Open Access
Machine Learning for Treatment Management Prediction in Laryngeal Fractures
Rasheed Omobolaji Alabi, Riikka E. Mäkitie
Journal of Voice (2024)
Open Access
Enhancing the adversarial robustness in medical image classification: exploring adversarial machine learning with vision transformers-based models
Elif Kanca, Selen Ayas, Elif Baykal Kablan, et al.
Neural Computing and Applications (2024)
Closed Access
Optimizing the Prognostic Model of Cervical Cancer Based on Artificial Intelligence Algorithm and Data Mining Technology
Yue Ma, Hongbo Zhu, Zhuo Yang, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 3
Machine Learning Heuristics on Gingivobuccal Cancer Gene Datasets Reveals Key Candidate Attributes for Prognosis
Tanvi Singh, Girik Malik, Saloni Someshwar, et al.
Genes (2022) Vol. 13, Iss. 12, pp. 2379-2379
Open Access | Times Cited: 3
Analysis of Deep Learning based Optimization Techniques for Oral Cancer Detection
K. J. Subha, M. Anto Bennet, Gaddam Pranay, et al.
(2023), pp. 1550-1555
Closed Access | Times Cited: 1
Effectiveness of deep learning in early‐stage oral cancer detections and classification using histogram of oriented gradients
Chiranjit Dutta, P. Sandhya, K. Vidhya, et al.
Expert Systems (2023) Vol. 41, Iss. 6
Closed Access | Times Cited: 1
Optimization of Support Vector Machines by Meta-Heuristic Approach for Differential Diagnosis and Classification of Oral Diseases
Roozbeh Soltani, Amine Jaouadi
(2022)
Open Access | Times Cited: 1
Optimization of Support Vector Machines by Meta-Heuristic Approach for Differential Diagnosis and Classification of Oral Diseases
Roozbeh Soltani, Amine Jaouadi
(2022)
Open Access | Times Cited: 1
Machine Learning Heuristics on Gingivobuccal Cancer Gene Datasets Reveals Key Candidate Attributes for Prognosis
Tanvi Singh, Girik Malik, Saloni Someshwar, et al.
(2022)
Open Access | Times Cited: 1
Artificial Intelligence Applications for the Early Diagnosis of Oral Cancer
Nezaket Ezgi Özer, Betul Karaca, Pelin Güneri
Journal of Ege University School of Dentistry (2022) Vol. 43, Iss. 50, pp. 19-26
Open Access | Times Cited: 1
Investigation of genes related to oral cancer using time-to-event machine learning approaches
Niusha Shekari, Payam Amini, Leili Tapak, et al.
Research Square (Research Square) (2023)
Open Access
A Novel Method for the Detection of Oral Cancers: Deep Learning
Elif Esra ÖZMEN, Türkay Kölüş, Veysel İçen
Research Square (Research Square) (2023)
Open Access
Detection of Abnormal Changes on the Dorsal Tongue Surface Using Deep Learning
Ho‐Jun Song, Yeong-Joon Park, Hieyong Jeong, et al.
Medicina (2023) Vol. 59, Iss. 7, pp. 1293-1293
Open Access
Convolutional neural network misclassification analysis in oral lesions: an error evaluation criterion by image characteristics
Rita Fabiane Teixeira Gomes, Jean Schmith, Rodrigo Marques de Figueiredo, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2023) Vol. 137, Iss. 3, pp. 243-252
Closed Access
Enhancing the Adversarial Robustness in Medical Image Classification: Exploring Adversarial Machine Learning with Vision Transformers-Based Models
Elif Kanca, Selen Ayas, Elif Baykal Kablan, et al.
(2023)
Closed Access
AI on Oral Mucosal Lesion Detection
Gaye Keser, Filiz Namdar Pekiner, Kaan Orhan
Springer eBooks (2023), pp. 143-176
Closed Access

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