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:

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: 11

Showing 11 citing articles:

Supremacy of attention-based transformer in oral cancer classification using histopathology images
Bhaswati Singha Deo, Mayukha Pal, Prasanta K. Panigrahi, et al.
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 5

Enhancing Pediatric Congenital Heart Disease Detection Using Customized 1D CNN Algorithm and Phonocardiogram Signals
Ihtisham Ul Haq, Ghassan Husnain, Yazeed Yasin Ghadi, et al.
Heliyon (2025), pp. e42257-e42257
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

Automated Detection of Oral Cancer Through Deep Learning: A Histopathological Approach
Rupali M. Bora
Studies in computational intelligence (2025), pp. 145-161
Closed Access

Harnessing artificial intelligence for predictive modelling in oral oncology: Opportunities, challenges, and clinical Perspectives
Vishnu Priya Veeraraghavan, Shikhar Daniel, Arun Kumar Dasari, et al.
Oral Oncology Reports (2024) Vol. 11, pp. 100591-100591
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

Enhancements in Radiological Detection of Metastatic Lymph Nodes Utilizing AI-Assisted Ultrasound Imaging Data and the Lymph Node Reporting and Data System Scale
Cezary Chudobiński, Bartosz Świderski, Izabella Antoniuk, et al.
Cancers (2024) Vol. 16, Iss. 8, pp. 1564-1564
Open Access | Times Cited: 2

Detection of hidden pediatric elbow fractures in X-ray images based on deep learning
Jian Li, Weiyi Hu, Hong Wu, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 2, pp. 100893-100893
Open Access | Times Cited: 1

A Fusion Framework of Pre-trained Deep Learning Models for Oral Squamous Cell Carcinoma Classification
Muhammad Attique Khan, Momina Mir, Muhammad Sami Ullah, et al.
Lecture notes in networks and systems (2024), pp. 769-782
Closed Access | Times Cited: 1

Exploring the Efficacy of Various CNN Architectures in Diagnosing Oral Cancer from Squamous Cell Carcinoma
Pandurang M. Kulkarni, Nidhi Sarwe, Abhishek Pingale, et al.
MethodsX (2024) Vol. 13, pp. 103034-103034
Closed Access

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