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-Learning-Based Automated Identification and Visualization of Oral Cancer in Optical Coherence Tomography Images
Zihan Yang, Hongming Pan, Jianwei Shang, et al.
Biomedicines (2023) Vol. 11, Iss. 3, pp. 802-802
Open Access | Times Cited: 24

Showing 24 citing articles:

Oral squamous cell carcinoma detection using EfficientNet on histopathological images
Eid Albalawi, Arastu Thakur, Mahesh Thyluru Ramakrishna, et al.
Frontiers in Medicine (2024) Vol. 10
Open Access | Times Cited: 32

Deep learning in oral cancer- a systematic review
Kritsasith Warin, Siriwan Suebnukarn
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 17

Three-Dimension Epithelial Segmentation in Optical Coherence Tomography of the Oral Cavity Using Deep Learning
Chloe Hill, Jeanie Malone, Kelly H. Liu, et al.
Cancers (2024) Vol. 16, Iss. 11, pp. 2144-2144
Open Access | Times Cited: 6

Advancing Non-Invasive Diagnosis of Oral Epithelial Dysplasia: Comparative Insights from In Vivo Optical Coherence Tomography and Histopathology
Waseem Jerjes, Zaid Hamdoon, Dara Rashed, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 4, pp. 1118-1118
Open Access

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

Oral Cancer: Recent Breakthroughs in Pathology and Therapeutic Approaches
Surekha Ramachandran
Oral Oncology Reports (2024), pp. 100678-100678
Open Access | Times Cited: 4

Artificial Intelligence in Oral Cancer: A Comprehensive Scoping Review of Diagnostic and Prognostic Applications
Vineet Vinay, Praveen Jodalli, Mahesh Chavan, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 280-280
Open Access

Deeppatchnet: A Deep Learning Model for Enhanced Screening and Diagnosis of Oral Cancer
Idriss Tafala, fatima-ezzahraa ben-bouazza, Aymane Edder, et al.
(2025)
Closed Access

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

Enhancing Oral Cancer Detection: A Systematic Review of the Diagnostic Accuracy and Future Integration of Optical Coherence Tomography with Artificial Intelligence
Waseem Jerjes, Harvey Stevenson, Daniele Ramsay, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 19, pp. 5822-5822
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: 1

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

Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy
Máté Vlocskó, József Piffkò, Ágnes Janovszky
Cancers (2023) Vol. 16, Iss. 1, pp. 121-121
Open Access | Times Cited: 2

A Comprehensive Study on Artificial Intelligence Techniques for Oral Cancer Diagnosis: Challenges and Opportunities
R. Sathishkumar, M. Govindarajan
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) (2023) Vol. 13, pp. 1-5
Closed Access | Times Cited: 2

Oral Lesion Cell Segmentation and Classification using Convolution Neural Network Technique
J. Amutha, S. Priyadarsini, S. Prasanth, et al.
(2024), pp. 1040-1045
Closed Access

Strengthening Oral Cancer Detection Using WDCNN
Lavanya Vemulapalli, Anantha Venkata Sai Kola, Chaitanya Chowdary Ravuri, et al.
(2024), pp. 1600-1605
Closed Access

Nanoscale morphology imaging for arbitrary surfaces by optical coherence tomography
Yapeng Sun, Qiunan Yang, Dongjun Jiang, et al.
Optics & Laser Technology (2024) Vol. 179, pp. 111388-111388
Closed Access

Application of Targeted Optical Coherence Tomography in Oral Cancer: A Cross-Sectional Preliminary Study
Vera Panzarella, Fortunato Buttacavoli, Vito Rodolico, et al.
Diagnostics (2024) Vol. 14, Iss. 19, pp. 2247-2247
Open Access

A Novel Attention-based Explainable Deep Learning Framework Towards Medical Image Classification
Gladys Wavinya Muoka, Ding Yi, Chiagoziem C. Ukwuoma, et al.
(2023) Vol. 8, pp. 1-8
Closed Access | Times Cited: 1

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