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 1-25 of 51 citing articles:

Artificial Intelligence in Head and Neck Cancer: A Systematic Review of Systematic Reviews
Antti Mäkitie, Rasheed Omobolaji Alabi, Sweet Ping Ng, et al.
Advances in Therapy (2023) Vol. 40, Iss. 8, pp. 3360-3380
Open Access | Times Cited: 27

Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects
Rasheed Omobolaji Alabi, Mohammed Elmusrati, Ilmo Leivo, et al.
International Journal of Medical Informatics (2024) Vol. 188, pp. 105464-105464
Open Access | Times Cited: 8

Transformative Potential of Artificial Intelligence in Enhancing Oral and Maxillofacial Cancer Care for a Brighter Tomorrow
Md. Asaduzzaman, M. A. Rahman, Nitish Krishna Das, et al.
(2025) Vol. 06, Iss. issue 1, pp. 05-09
Open Access

An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer
Rasheed Omobolaji Alabi, Alhadi Almangush, Mohammed Elmusrati, et al.
International Journal of Medical Informatics (2022) Vol. 168, pp. 104896-104896
Open Access | Times Cited: 32

Novel prediction model on OSCC histopathological images via deep transfer learning combined with Grad-CAM interpretation
Heba M. Afify, Kamel K. Mohammed, Aboul Ella Hassanien
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104704-104704
Closed Access | Times Cited: 19

Automated Analysis of Nuclear Parameters in Oral Exfoliative Cytology Using Machine Learning
Shubhangi Mhaske, Karthikeyan Ramalingam, Preeti Nair, et al.
Cureus (2024)
Open Access | Times Cited: 5

A DEEP LEARNING APPROACH TO DETECTION OF ORAL CANCER LESIONS FROM INTRA ORAL PATIENT IMAGES: A PRELIMINARY RETROSPECTIVE STUDY
Gaye Keser, Filiz Namdar Pekiner, İbrahim Şevki Bayrakdar, et al.
Journal of Stomatology Oral and Maxillofacial Surgery (2024) Vol. 125, Iss. 5, pp. 101975-101975
Closed Access | Times Cited: 4

Computational Intelligence in Cancer Diagnostics: A Contemporary Review of Smart Phone Apps, Current Problems, and Future Research Potentials
Somit Jain, Dharmik Naicker, Ritu Raj, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1563-1563
Open Access | Times Cited: 13

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: 4

OralNet: deep learning fusion for oral cancer identification from lips and tongue images using stochastic gradient based logistic regression
S. Pradeepa, N. Sasikaladevi, S. Vimal, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 3

Few-shot learning based oral cancer diagnosis using a dual feature extractor prototypical network
Zijun Guo, S.I. Ao, Bo Ao
Journal of Biomedical Informatics (2024) Vol. 150, pp. 104584-104584
Closed Access | Times Cited: 2

Oral Cancer Detection using Deep Learning Techniques
Nagamani Tenali, Vasavi Sripriya Desu, Charishma Boppa, et al.
(2023), pp. 168-175
Closed Access | Times Cited: 7

Analysis of Histopathological Images for Early Diagnosis of Oral Squamous Cell Carcinoma by Hybrid Systems Based on CNN Fusion Features
Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-33
Open Access | Times Cited: 7

Multimodal feature fusion in deep learning for comprehensive dental condition classification
Shang-Ting Hsieh, Ya-Ai Cheng
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 2, pp. 303-321
Closed Access | Times Cited: 1

Interpretable machine learning model for prediction of overall survival in laryngeal cancer
Rasheed Omobolaji Alabi, Alhadi Almangush, Mohammed Elmusrati, et al.
Acta Oto-Laryngologica (2024), pp. 1-7
Closed Access | Times Cited: 1

Computer Vision—Radiomics & Pathognomics
Alexandra T. Bourdillon
Otolaryngologic Clinics of North America (2024) Vol. 57, Iss. 5, pp. 719-751
Closed Access | Times Cited: 1

Deep Learning Model for Automatic Detection of Oral squamous cell carcinoma (OSCC) using Histopathological Images
Sayyada Hajera Begum, P Vidyullatha
International Journal of Computing and Digital Systems (2023) Vol. 13, Iss. 1, pp. 889-899
Open Access | Times Cited: 4

Periodontitis Auxiliary Diagnosis Based on Deep Learning and Oral Dental X-ray Images
Xueyan Zhu, Fei Wang, Yunji Xie, et al.
Russian Journal of Nondestructive Testing (2023) Vol. 59, Iss. 4, pp. 487-500
Closed Access | Times Cited: 4

Deep Learning Techniques for the Detection and Classification of Oral Cancer Using Histopathological Images
A. Parkavi, Yash Tiriyar, Pragyan Jyoti Borthakur, et al.
(2023), pp. 1625-1630
Closed Access | Times Cited: 3

Personalized precision medicine for oral oncology
Rajiv Periakaruppan, K. T. Abhishekh, C. Nithya, et al.
Oral Oncology Reports (2024) Vol. 10, pp. 100301-100301
Open Access

178 Implementation challenges of artificial intelligence-based radiomics in head and neck oncology: A systematic review
Rasheed Omobolaji Alabi, Alhadi Almangush, Mohammed Elmusrati, et al.
Radiotherapy and Oncology (2024) Vol. 192, pp. S207-S209
Open Access

Digital Diagnosis of Mouth Disease Using Deep Learning Algorithms
G. Sudha, M. Mohammadha Hussani, N. Bagyalakshmi, et al.
(2024), pp. 1-9
Closed Access

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