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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 learning‐based pathology image analysis predicts cancer progression risk in patients with oral leukoplakia
Xinyi Zhang, Frederico O. Gleber‐Netto, Shidan Wang, et al.
Cancer Medicine (2023) Vol. 12, Iss. 6, pp. 7508-7518
Open Access | Times Cited: 17

Showing 17 citing articles:

Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment
Chaoyi Zhang, Jin Xu, Rong Tang, et al.
Journal of Hematology & Oncology (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 49
Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review
Vanesa Pereira‐Prado, Felipe Martins Silveira, Estafanía Sicco, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2416-2416
Open Access | Times Cited: 15
Machine learning methods in predicting the risk of malignant transformation of oral potentially malignant disorders: A systematic review
Simran Uppal, Priyanshu Kumar Shrivastava, Atiya Khan, et al.
International Journal of Medical Informatics (2024) Vol. 186, pp. 105421-105421
Closed Access | Times Cited: 5
Oral Pre-malignancy: An Update on Novel Therapeutic Approaches
Shorook Na’ara, Clara Andrews, Andrew G. Sikora, et al.
Current Oncology Reports (2024)
Closed Access | Times Cited: 5
Defining precancer: a grand challenge for the cancer community
Jessica M. Faupel‐Badger, Indu Kohaar, Manisha Bahl, et al.
Nature reviews. Cancer (2024)
Closed 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
Development of model for identifying homologous recombination deficiency (HRD) status of ovarian cancer with deep learning on whole slide images
Ke Zhang, Yinghe Qiu, Songwei Feng, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Diagnostic performance of artificial intelligence in detecting oral potentially malignant disorders and oral cancer using medical diagnostic imaging: a systematic review and meta-analysis
Rakesh Kumar Sahoo, Krushna Chandra Sahoo, Girish Chandra Dash, et al.
Frontiers in Oral Health (2024) Vol. 5
Open 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
Prompting Vision Foundation Models for Pathology Image Analysis
Chong Yin, Siqi Liu, Kaiyang Zhou, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 11292-11301
Closed Access | Times Cited: 2
An Update on the Use of Artificial Intelligence in Digital Pathology for Oral Epithelial Dysplasia Research
Shahd A. Alajaji, Zaid H. Khoury, Maryam Jessri, et al.
Head and Neck Pathology (2024) Vol. 18, Iss. 1
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 models for predicting the survival of patients with medulloblastoma based on a surveillance, epidemiology, and end results analysis
Meng Sun, Jikui Sun, Meng Li
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Oral Leukoplakia: Diagnosis And Management Revisited
I. van der Waal
Journal of Dentistry Indonesia (2023) Vol. 30, Iss. 2
Open Access | Times Cited: 2
Deep learning models for predicting the survival of patients with medulloblastoma based on a surveillance, epidemiology, and end results analysis
Meng Sun, Jikui Sun, Meng Li
Research Square (Research Square) (2024)
Open Access
Annual review of selected scientific literature: A report of the Committee on Scientific Investigation of the American Academy of Restorative Dentistry
David R. Cagna, Terence E. Donovan, James R. McKee, et al.
Journal of Prosthetic Dentistry (2024)
Closed Access
I-Viewer: An Online Digital Pathology Analysis Platform with Agentic-RAG AI Copilot
Ruichen Rong, Danni Luo, Zifan Gu, et al.
Research Square (Research Square) (2024)
Open Access
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