Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Learning for Clinical Image Analyses in Oral Squamous Cell Carcinoma
Chui Shan Chu, Nikki P. Lee, Joshua W. K. Ho, et al.
JAMA Otolaryngology–Head & Neck Surgery (2021) Vol. 147, Iss. 10, pp. 893-893
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A Current Review of Machine Learning and Deep Learning Models in Oral Cancer Diagnosis: Recent Technologies, Open Challenges, and Future Research Directions
Shriniket Dixit, Anant Kumar, Kathiravan Srinivasan
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1353-1353
Open Access | Times Cited: 61
GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment
Bing Yan, Zhining Wen, Lili Xue, et al.
International Journal of Oral Science (2025) Vol. 17, Iss. 1
Open Access | Times Cited: 2
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: 55
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: 35
Assessment of Surgical Margin of Tongue Squamous Cell Carcinoma via Raman Mapping
Z. Li, Lili Xue, Xiaobo Dai, et al.
Oral Diseases (2025)
Open Access | Times Cited: 1
Early Diagnosis of Oral Squamous Cell Carcinoma Based on Histopathological Images Using Deep and Hybrid Learning Approaches
Suliman Mohamed Fati, Ebrahim Mohammed Senan, Yasir Javed
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1899-1899
Open Access | Times Cited: 38
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: 7
Multi-Method Analysis of Histopathological Image for Early Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning and Hybrid Techniques
Mehran Ahmad, Muhammad Abeer Irfan, Umar Sadique, et al.
Cancers (2023) Vol. 15, Iss. 21, pp. 5247-5247
Open Access | Times Cited: 13
Early detection of nasopharyngeal carcinoma through machine‐learning‐driven prediction model in a population‐based healthcare record database
Jeng‐Wen Chen, Shih‐Tsang Lin, Yi‐Chun Lin, et al.
Cancer Medicine (2024) Vol. 13, Iss. 7
Open Access | Times Cited: 4
Deep structured learning with vision intelligence for oral carcinoma lesion segmentation and classification using medical imaging
Ahmad A. Alzahrani, Jamal Alsamri, Mashael Maashi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The Utility Of Deep Learning Model in Clinical Treatment Decision-making of Mandibular Third Molar: A Systematic Review and Meta-analysis
Chenjie Zhao, Xueshan Bai, Ziyang Liu, et al.
Journal of Evidence Based Dental Practice (2025), pp. 102164-102164
Closed Access
Single‐Cell and Bulk RNA Sequencing Reveal Tumor Cell Characteristics and Communication Features of Primary and Lymphatic Metastatic Hypopharyngeal Squamous Cell Carcinoma
Zhimou Cai, Zhiwei Qiang, Rong Tang, et al.
Head & Neck (2025)
Closed Access
Thyroid carcinoma detection on whole histologic slides using hyperspectral imaging and deep learning
Minh H. Tran, Ling Ma, James V. Litter, et al.
(2022) Vol. 91, pp. 19-19
Open Access | Times Cited: 14
Artificial-Intelligence-Based Decision Making for Oral Potentially Malignant Disorder Diagnosis in Internet of Medical Things Environment
Rana Alabdan, Abdulrahman Alruban, Anwer Mustafa Hilal, et al.
Healthcare (2022) Vol. 11, Iss. 1, pp. 113-113
Open Access | Times Cited: 13
Integrating Cutting-Edge Methods to Oral Cancer Screening, Analysis, and Prognosis
Sagar Dholariya, Ragini Singh, Amit Sonagra, et al.
Critical Reviews™ in Oncogenesis (2023) Vol. 28, Iss. 2, pp. 11-44
Closed Access | Times Cited: 7
Duck Pack Optimization With Deep Transfer Learning-Enabled Oral Squamous Cell Carcinoma Classification on Histopathological Images
Savita K. Shetty, Annapurna P. Patil
International Journal of Grid and High Performance Computing (2023) Vol. 15, Iss. 2, pp. 1-21
Open Access | Times Cited: 7
Predicting nodal metastases in squamous cell carcinoma of the oral tongue using artificial intelligence
Antoinette Esce, Andrewe L. Baca, Jordan P. Redemann, et al.
American Journal of Otolaryngology (2023) Vol. 45, Iss. 1, pp. 104102-104102
Closed Access | Times Cited: 7
A pathology-based diagnosis and prognosis intelligent system for oral squamous cell carcinoma using semi-supervised learning
Jiaying Zhou, Haoyuan Wu, Xiao-Jing Hong, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124242-124242
Open Access | Times Cited: 2
Automated Detection of Oral Malignant Lesions Using Deep Learning: Scoping Review and Meta‐Analysis
Olga Di Fede, Gaetano La Mantia, Marco Parola, et al.
Oral Diseases (2024)
Open Access | Times Cited: 2
Addressing oral cancer inequalities: a multifaceted approach to equitable healthcare
Waseem Jerjes
BDJ (2024) Vol. 237, Iss. 11, pp. 837-841
Closed Access | Times Cited: 2
Prognostic significance of cyclin D1 expression pattern in HPV‐negative oral and oropharyngeal carcinoma: A deep‐learning approach
Ke Yang, Guixin Zhu, Yanan Sun, et al.
Journal of Oral Pathology and Medicine (2023) Vol. 52, Iss. 10, pp. 919-929
Closed Access | Times Cited: 4
Application of machine learning in oral and maxillofacial surgery
Kaixin Yan, Lei Liu, Hui Li
Artificial Intelligence in Medical Imaging (2021) Vol. 2, Iss. 6, pp. 104-114
Open Access | Times Cited: 8
Editorial of Special Issue “Oral Cancer: From Pathophysiology to Novel Therapeutic Approaches”
Vui King Vincent‐Chong
Biomedicines (2023) Vol. 11, Iss. 10, pp. 2748-2748
Open Access | Times Cited: 2
Anticancer role of lidocaine in oral squamous cell carcinoma through IGF2BP2‐mediated CAV1 stability
Zhi Wang, Lína Zhang, Ting Wu, et al.
Oral Diseases (2023) Vol. 30, Iss. 6, pp. 3884-3896
Closed Access | Times Cited: 2
A Visualization System for Interactive Diagnosis and Intelligent Statistical Analysis of Oral Diseases based on Panoramic Radiography: Method Study (Preprint)
Ting Xu, Yue Hong, Tianya Pan, et al.
(2024)
Closed Access
Page 1 - Next Page

Scroll to top