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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:

Artificial intelligence in gynecologic cancers: Current status and future challenges – A systematic review
Munetoshi Akazawa, Kazunori Hashimoto
Artificial Intelligence in Medicine (2021) Vol. 120, pp. 102164-102164
Closed Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

A survey on deep learning applied to medical images: from simple artificial neural networks to generative models
Pedro Celard, Eva Iglesias, José Manuel Sorribes-Fdez, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2291-2323
Open Access | Times Cited: 102
Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review
Yue Cai, Yuqing Cai, Liying Tang, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 27
Exploring data mining and machine learning in gynecologic oncology
Ferdaous Idlahcen, Ali Idri, Evgin Göçeri
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 24
Artificial intelligence for the diagnosis of pediatric appendicitis: A systematic review
Mariam Chekmeyan, Shao‐Hsien Liu
The American Journal of Emergency Medicine (2025) Vol. 92, pp. 18-31
Closed Access | Times Cited: 2
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
Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors
Ya‐Ting Jan, Pei‐Shan Tsai, Wenhui Huang, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 30
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
Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer
Zhichao Wang, Yan Hu, Jun Cai, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Application of artificial intelligence to ultrasound imaging for benign gynecological disorders: systematic review
F. Moro, Maria Teresa Giudice, Mariano Ciancia, et al.
Ultrasound in Obstetrics and Gynecology (2025)
Open Access | Times Cited: 1
A Convolutional Neural Network Tool for Early Diagnosis and Precision Surgery in Endometriosis-Related Ovarian Cancer
C. Macis, Miriam Santoro, Vladislav Zybin, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3070-3070
Open Access | Times Cited: 1
Progress in the Application of Artificial Intelligence in Ultrasound-Assisted Medical Diagnosis
Yan Li, Li Q, Kang Fu, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 288-288
Open Access | Times Cited: 1
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990–2022)
Joshua Sheehy, Hamish Rutledge, U. Rajendra Acharya, et al.
Artificial Intelligence in Medicine (2023) Vol. 139, pp. 102536-102536
Closed Access | Times Cited: 19
Role of artificial intelligence applied to ultrasound in gynecology oncology: A systematic review
F. Moro, Marianna Ciancia, Drieda Zaçe, et al.
International Journal of Cancer (2024) Vol. 155, Iss. 10, pp. 1832-1845
Open Access | Times Cited: 8
Deep-learning models for image-based gynecological cancer diagnosis: a systematic review and meta- analysis
Asefa Adimasu Taddese, Binyam Tilahun, Tadesse Awoke, et al.
Frontiers in Oncology (2024) Vol. 13
Open Access | Times Cited: 7
Impact of artificial intelligence on the diagnosis, treatment and prognosis of endometrial cancer
Samia Rauf Butt, Amna Soulat, Priyanka Mohan Lal, et al.
Annals of Medicine and Surgery (2024) Vol. 86, Iss. 3, pp. 1531-1539
Open Access | Times Cited: 7
Revolutionizing Medical Diagnosis with Novel Teaching-Learning-Based Optimization
Mitra Bakhshi, Ali Karkehabadi, Seyed Behnam Razavian
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024)
Closed Access | Times Cited: 7
Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging
Shih‐Tien Hsu, Yujie Su, Chian-Huei Hung, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 27
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 16
Artificial intelligence for prediction of endometrial intraepithelial neoplasia and endometrial cancer risks in pre- and postmenopausal women
Evrim Erdemoğlu, Tekin Ahmet Serel, Erdener Karacan, et al.
AJOG Global Reports (2023) Vol. 3, Iss. 1, pp. 100154-100154
Open Access | Times Cited: 15
Application of magnetic resonance imaging radiomics in endometrial cancer: a systematic review and meta-analysis
Meng-Lin Huang, Jing Ren, Zhengyu Jin, et al.
La radiologia medica (2024) Vol. 129, Iss. 3, pp. 439-456
Closed Access | Times Cited: 6
Diffusion-Weighted MRI in the Genitourinary System
Thomas de Perrot, Christine Sadjo Zoua, Carl Glessgen, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 7, pp. 1921-1921
Open Access | Times Cited: 21
Detection of malignancy in whole slide images of endometrial cancer biopsies using artificial intelligence
Christina Fell, Mahnaz Mohammadi, David Morrison, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0282577-e0282577
Open Access | Times Cited: 13
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
Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers
Pankaj Garg, Atish Mohanty, Sravani Ramisetty, et al.
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2023) Vol. 1878, Iss. 6, pp. 189026-189026
Open Access | Times Cited: 12
Predicting Hypoxia Using Machine Learning: Systematic Review
Lena Pigat, Benjamin P. Geisler, Seyedmostafa Sheikhalishahi, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e50642-e50642
Open Access | Times Cited: 4
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