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:
Screening ovarian cancer by using risk factors: machine learning assists
Raoof Nopour
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 9
Raoof Nopour
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 9
Showing 9 citing articles:
Personality traits of women with hereditary risk for breast/ovarian cancer versus obstetric history and cancer preventive behaviors
Joanna Żurawska, Beata Pięta, Maciej Wilczak, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Joanna Żurawska, Beata Pięta, Maciej Wilczak, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook
Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Early Diagnosis of Ovarian Cancer: A Comprehensive Review of the Advances, Challenges, and Future Directions
Mun-Kun Hong, Dah‐Ching Ding
Diagnostics (2025) Vol. 15, Iss. 4, pp. 406-406
Open Access
Mun-Kun Hong, Dah‐Ching Ding
Diagnostics (2025) Vol. 15, Iss. 4, pp. 406-406
Open Access
Comparing the Effectiveness of Artificial Intelligence Models in Predicting Ovarian Cancer Survival: A Systematic Review
Farkhondeh Asadi, Milad Rahimi, Nahid Ramezanghorbani, et al.
Cancer Reports (2025) Vol. 8, Iss. 3
Open Access
Farkhondeh Asadi, Milad Rahimi, Nahid Ramezanghorbani, et al.
Cancer Reports (2025) Vol. 8, Iss. 3
Open Access
Explainable AI-based feature importance analysis for ovarian cancer classification with ensemble methods
Ashwini Kodipalli, V. Susheela Devi, Shyamala Guruvare, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
Ashwini Kodipalli, V. Susheela Devi, Shyamala Guruvare, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
Establishment of prediction model for mortality risk of pancreatic cancer: a retrospective study
Raoof Nopour
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Raoof Nopour
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
New Trends in Ovarian Cancer Diagnosis Using Deep Learning: A Systematic Review
Mohamed El-Khatib, Dan Popescu, Oana Mihaela Teodor, et al.
IEEE Access (2024) Vol. 12, pp. 116587-116608
Open Access | Times Cited: 1
Mohamed El-Khatib, Dan Popescu, Oana Mihaela Teodor, et al.
IEEE Access (2024) Vol. 12, pp. 116587-116608
Open Access | Times Cited: 1
Biomarkers to Predictive Modeling: Leveraging Feature Selection and Ensemble Learning for Ovarian Cancer Prognosis
Jaya Srivastava, Megha Rathi
(2024), pp. 51-58
Closed Access
Jaya Srivastava, Megha Rathi
(2024), pp. 51-58
Closed Access
Primary Cytoreductive Surgery Versus Neoadjuvant Chemotherapy Followed by Surgery in Patients with Advanced Primary Epithelial Ovarian Cancer in Low Resources Setting: A Randomized Clinical Trial
Hoda Abu‐Taleb, Ali Mohamed Hussien, Mohamed Khalaf, et al.
The Journal of Obstetrics and Gynecology of India (2024)
Closed Access
Hoda Abu‐Taleb, Ali Mohamed Hussien, Mohamed Khalaf, et al.
The Journal of Obstetrics and Gynecology of India (2024)
Closed Access
