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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-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology
Yuting Jiang, Chengdi Wang, Shengtao Zhou
Seminars in Cancer Biology (2023) Vol. 96, pp. 82-99
Open Access | Times Cited: 17

Showing 17 citing articles:

Evolution of artificial intelligence in healthcare: a 30-year bibliometric study
Yiweng Xie, Yuansheng Zhai, Guihua Lu
Frontiers in Medicine (2025) Vol. 11
Open Access | Times Cited: 2
Global burden of gynaecological cancers in 2022 and projections to 2050
Binhua Zhu, Hao Gu, Zhihan Mao, et al.
Journal of Global Health (2024) Vol. 14
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
Deep Learning in Oncology: Transforming Cancer Diagnosis, Prognosis, and Treatment
Thaís Santos Anjo Reis
Emerging Trends in Drugs Addictions and Health (2025), pp. 100171-100171
Open Access
Artificial intelligence in gynecology surgery: Current status, challenges and future opportunities
Qi Dou, Krystel Nyangoh-Timoh, Pierre Jannin, et al.
Chinese Medical Journal (2025)
Open Access
The Role of Artificial Intelligence in Advancing Hospital Management Information Systems: Review Article
Hani Raka Karrar, Mahmoud Ismail Nouh, Maria Talal Kufyah, et al.
Saudi Journal of Clinical Pharmacy (2025) Vol. 4, Iss. 1, pp. 15-23
Closed Access
An explainable machine learning model to solid adnexal masses diagnosis based on clinical data and qualitative ultrasound indicators
Annarita Fanizzi, Francesca Arezzo, Gennaro Cormio, et al.
Cancer Medicine (2024) Vol. 13, Iss. 12
Open Access | Times Cited: 3
Screening and Early Diagnosis in Gynecological Cancers
Luca Giannella, Andrea Ciavattini
Cancers (2023) Vol. 15, Iss. 21, pp. 5152-5152
Open Access | Times Cited: 6
Leveraging Large Language Models in Gynecologic Oncology: A Systematic Review of Current Applications and Challenges
Aya Mudrik, Abraham Tsur, Girish N. Nadkarni, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Machine-learning diagnostic models for ovarian tumors
Yuwei Sun, Bin Wen
Heliyon (2024) Vol. 10, Iss. 19, pp. e36994-e36994
Open Access | Times Cited: 1
Lymph node assessment in cervical cancer: current approaches
Adriane Dheur, Athanasios Kakkos, Denis Danthine, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Ethical Dilemmas in the Use of Artificial Intelligence in Breast Cancer Diagnosis and Treatment (Addressing Issues of Bias, Transferability, and Patient Trust in Breast Cancer AI)
Priscilla Auleader Napitupulu
West Science Law and Human Rights (2023) Vol. 1, Iss. 04, pp. 256-260
Open Access | Times Cited: 2
A Novel Method for Determining Fibrin/Fibrinogen Degradation Products and Fibrinogen Threshold Criteria via Artificial Intelligence in Massive Hemorrhage during Delivery with Hematuria
Yasunari Miyagi, Katsuhiko Tada, Ichiro Yasuhi, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 6, pp. 1826-1826
Open Access
Segmentation and Multi-Label Classification of Visual Cervical Pathology by Deep Neural Networks
Mykhaylo Pavliuchenko, Ivan Pavliuchenko, Yuri Gordienko, et al.
Algorithms for intelligent systems (2024), pp. 431-444
Closed Access
Mitophagy in gynecological malignancies: roles, advances, and therapeutic potential
Jiao Wang, Dandan Wang
Cell Death Discovery (2024) Vol. 10, Iss. 1
Open Access
Empowering cancer prevention with AI: unlocking new frontiers in prediction, diagnosis, and intervention
Marianna-Foteini Dafni, Mohamed Shih, Agnes Zanotto Manoel, et al.
Cancer Causes & Control (2024)
Closed Access
Application of artificial intelligence in oncology
Xuelei Ma, Qi Zhao
Seminars in Cancer Biology (2023) Vol. 97, pp. 68-69
Closed Access | Times Cited: 1
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