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:

Artificial intelligence for cervical cancer screening: Scoping review, 2009–2022
Hernán Darío Vargas‐Cardona, M. Rodríguez‐López, Marcela Arrivillaga, et al.
International Journal of Gynecology & Obstetrics (2023) Vol. 165, Iss. 2, pp. 566-578
Open Access | Times Cited: 23

Showing 23 citing articles:

Management for Cervical Cancer Patients: A Comparison of the Guidelines from the International Scientific Societies (ESGO-NCCN-ASCO-AIOM-FIGO-BGCS-SEOM-ESMO-JSGO)
Stefano Restaino, Giulia Pellecchia, Martina Arcieri, et al.
Cancers (2024) Vol. 16, Iss. 14, pp. 2541-2541
Open Access | Times Cited: 15

Promoting Artificial Intelligence for Global Breast Cancer Risk Prediction and Screening in Adult Women: A Scoping Review
Lea Sacca, Diana Lobaina, Sara Burgoa, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 9, pp. 2525-2525
Open Access | Times Cited: 5

A multimodal deep learning model for cervical pre-cancers and cancers prediction: Development and internal validation study
Sreenath Madathil, Mohamed Dhouib, Quitterie Lelong, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109710-109710
Closed Access

Immunology and pathogenesis of Trichomonas vaginalis and HIV coinfection
R Mathew, Suyash A. Sawale, Ankush Gupta, et al.
Elsevier eBooks (2025), pp. 155-179
Closed Access

Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis
Yousry AbdulAzeem, Hossam Magdy Balaha, Hanaa ZainEldin, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107620-107620
Closed Access

TransPapCanCervix: An Enhanced Transfer Learning‐Based Ensemble Model for Cervical Cancer Classification
Barkha Bhavsar, Bela Shrimali
Computational Intelligence (2025) Vol. 41, Iss. 1
Closed Access

The future of cervical cancer prevention: advances in research and technology
Praveen Kumar Chandra Sekar, Sheena Mariam Thomas, Ramakrishnan Veerabathiran
Exploration of Medicine (2024), pp. 384-400
Open Access | Times Cited: 3

Current Status of Machine Learning and Artificial Intelligence in Cervical Cancer Screening and Diagnosis: A Systematic Review
Rushin Patel, Mrunal Patel, Zalak Patel, et al.
Global Academic Journal of Medical Sciences (2024) Vol. 6, Iss. 01, pp. 38-48
Open Access | Times Cited: 2

High-risk human papillomavirus testing for cervical cancer screening in Uganda: Considering potential harms and benefits in a low-resource setting
Marat Sultanov, Jaap Koot, Geertruida H. de Bock, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0312295-e0312295
Open Access | Times Cited: 1

Meticulous Review: Cutting-Edge Cervix Cancer Stratification Using Image Processing And Machine Learning
Barkha Bhavsar, Bela Shrimali
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 1343-1358
Open Access | Times Cited: 1

Application of artificial intelligence in cervical cancer screening: Enhancing accuracy and reducing misdiagnosis
Qingzhi Yang, Muxing Xie, Mingxiang Yuan, et al.
Journal of Clinical Nursing (2024)
Open Access | Times Cited: 1

Disease-Free Survival Prediction in Recurrent Cervical Cancer using Naive Bayes Machine Learning Algorithm
S. Geeitha, Renuka Panchagnula, K. Poongothai, et al.
(2024), pp. 1901-1906
Closed Access | Times Cited: 1

Advancements in Tumor Diagnostics through Carbon Dot‐Assisted Photoacoustic Imaging
Rajan Patyal, Khushboo Warjurkar, Vinay Sharma
Advanced Optical Materials (2024)
Open Access | Times Cited: 1

Classification of Cervical Cancer using Convolutional Neural Networks
Sarah Amer Al-asbaily, Salwa Almoshity, Salema Younus, et al.
(2024), pp. 735-739
Closed Access

Histopathology Image Analysis for Cervical Cancer Using AI
Sejal Shah, Rohit M. Thanki, Anjali Diwan
Signals and communication technology (2024), pp. 67-84
Closed Access

A cervical cancer control strategy for lower-resource settings: interventions to complement one-dose HPV vaccination
Nicole G. Campos, Douglas R. Lowy, Silvia de Sanjosé, et al.
JNCI Monographs (2024) Vol. 2024, Iss. 67, pp. 417-423
Closed Access

Constructing a Classification Model for Cervical Cancer Tumor Tissue and Normal Tissue Based on CT Radiomics
Jiao Pei, Jing Yu, Pingshu Ge, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access

A bibliometric review of predictive modelling for cervical cancer risk
Francis Ngema, Bonginkosi Mdhluli, Pako Mmileng, et al.
Frontiers in Research Metrics and Analytics (2024) Vol. 9
Open Access

Data journey map: a process for co-creating data requirements for health care artificial intelligence
Cathy Charles, Cherie Tulloch, Maurice McNaughton, et al.
Revista Panamericana de Salud Pública (2024) Vol. 48, pp. 1-1
Open Access

Artificial Intelligence in Cervical Cancer Screening: Opportunities and Challenges
Miriam Dellino, Marco Cerbone, Antonio d’Amati, et al.
AI (2024) Vol. 5, Iss. 4, pp. 2984-3000
Open Access

Performance of artificial intelligence for diagnosing cervical intraepithelial neoplasia and cervical cancer: a systematic review and meta-analysis
Lei Liu, Jiangang Liu, Qing Su, et al.
EClinicalMedicine (2024) Vol. 80, pp. 102992-102992
Closed Access

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