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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.

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Showing 1-25 of 47 citing articles:

Artificial Intelligence in Cervical Cancer Screening and Diagnosis
Xin Hou, Guangyang Shen, Liqiang Zhou, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 107
Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies
Peng Xue, Chao Tang, Qing Li, et al.
BMC Medicine (2020) Vol. 18, Iss. 1
Open Access | Times Cited: 73
Diagnosis of Cervical Cancer and Pre-Cancerous Lesions by Artificial Intelligence: A Systematic Review
Leila Allahqoli, Antonio Simone Laganà, Afrooz Mazidimoradi, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2771-2771
Open Access | Times Cited: 50
Deep Learning in Cervical Cancer Diagnosis: Architecture, Opportunities, and Open Research Challenges
Nina Youneszade, Mohsen Marjani, Pei Pei Chong
IEEE Access (2023) Vol. 11, pp. 6133-6149
Open Access | Times Cited: 30
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: 28
Development and validation of artificial intelligence-based analysis software to support screening system of cervical intraepithelial neoplasia
Yung‐Taek Ouh, Tae Jin Kim, Woong Ju, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Application of artificial intelligence in gynecologic malignancies: A review
Kenbun Sone, Yusuke Toyohara, Ayumi Taguchi, et al.
Journal of Obstetrics and Gynaecology Research (2021) Vol. 47, Iss. 8, pp. 2577-2585
Closed Access | Times Cited: 35
Revolutionizing Women’s Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology
Marta Brandão, Francisco Mendes, Miguel Martins, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 4, pp. 1061-1061
Open Access | Times Cited: 5
Characterization of human papillomavirus genotypes and their coverage in vaccine delivered to Ethiopian women
Alemayehu Abate, Abaineh Munshea, Endalkachew Nibret, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Artificial intelligence in colposcopic examination: A promising tool to assist junior colposcopists
Aiyuan Wu, Peng Xue, Guzhalinuer Abulizi, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 12
Feasibility of predicting live birth by combining conventional embryo evaluation with artificial intelligence applied to a blastocyst image in patients classified by age
Yasunari Miyagi, Toshihiro Habara, Rei Hirata, et al.
Reproductive Medicine and Biology (2019) Vol. 18, Iss. 4, pp. 344-356
Open Access | Times Cited: 31
Recognition of facial expression of fetuses by artificial intelligence (AI)
Yasunari Miyagi, Toshiyuki Hata, Saori Bouno, et al.
Journal of Perinatal Medicine (2021) Vol. 49, Iss. 5, pp. 596-603
Open Access | Times Cited: 26
Progress in the Study of Cervical Cancer Screening Methods
祺 孙
Advances in Clinical Medicine (2025) Vol. 15, Iss. 03, pp. 1989-1998
Closed Access
A bibliometric analysis of artificial intelligence applied to cervical cancer
Qiang Huang, Wenmei Su, Shujun Li, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Deep Learning-Based Classification of Uterine Cervical and Endometrial Cancer Subtypes from Whole-Slide Histopathology Images
Jae‐Yen Song, Soyoung Im, Sung Hak Lee, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2623-2623
Open Access | Times Cited: 16
Artificial intelligence and visual inspection in cervical cancer screening
Carolyn Nakisige, Marlieke de Fouw, Johnblack K Kabukye, et al.
International Journal of Gynecological Cancer (2023) Vol. 33, Iss. 10, pp. 1515-1521
Open Access | Times Cited: 9
MFEM-CIN: A Lightweight Architecture Combining CNN and Transformer for the Classification of Pre-Cancerous Lesions of the Cervix
Peng Chen, Fobao Liu, Jun Zhang, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2024) Vol. 5, pp. 216-225
Open Access | Times Cited: 3
An artificial intelligence‑assisted diagnostic system improves the accuracy of image diagnosis of uterine cervical lesions
Yu Ito, Ai Miyoshi, Yutaka Ueda, et al.
Molecular and Clinical Oncology (2021) Vol. 16, Iss. 2
Open Access | Times Cited: 20
A Predictive Model to Detect Cervical Diseases Using Convolutional Neural Network Algorithms and Digital Colposcopy Images
Nina Youneszade, Mohsen Marjani, Sayan Kumar Ray
IEEE Access (2023) Vol. 11, pp. 59882-59898
Open Access | Times Cited: 8
Predicting a live birth by artificial intelligence incorporating both the blastocyst image and conventional embryo evaluation parameters
Yasunari Miyagi, Toshihiro Habara, Rei Hirata, et al.
Artificial Intelligence in Medical Imaging (2020) Vol. 1, Iss. 3, pp. 94-107
Open Access | Times Cited: 19
A customized ConvNeXt‐XL network with fusion of deep and handcrafted features for colposcopy image classification
Thendral Natarajan, D. Lakshmi, Ramaprabha Palayanoor Seethapathy, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 2
Exploring explainable artificial intelligence techniques for evaluating cervical intraepithelial neoplasia (CIN) diagnosis using colposcopy images
Elima Hussain, Lipi B. Mahanta, Khurshid Alam Borbora, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123579-123579
Closed Access | Times Cited: 2
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 | Times Cited: 2
Colposcopic multimodal fusion for the classification of cervical lesions
Yinuo Fan, Huizhan Ma, Yuanbin Fu, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 13, pp. 135003-135003
Closed Access | Times Cited: 10
Recognition of Fetal Facial Expressions Using Artificial Intelligence Deep Learning
Toshiyuki Hata, Yasunari Miyagi
Donald School Journal of Ultrasound in Obstetrics & Gynecology (2021) Vol. 15, Iss. 3, pp. 223-228
Open Access | Times Cited: 12
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