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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:

Application of machine learning techniques for predicting survival in ovarian cancer
Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

On the failings of Shapley values for explainability
Xuanxiang Huang, João Marques‐Silva
International Journal of Approximate Reasoning (2024) Vol. 171, pp. 109112-109112
Closed Access | Times Cited: 32
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Information Fusion (2024) Vol. 108, pp. 102412-102412
Open Access | Times Cited: 25
Machine learning-based models for the prediction of breast cancer recurrence risk
Duo Zuo, Lexin Yang, Yu Jin, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 36
Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques
Samin Babaei Rikan, Amir Sorayaie Azar, Amin Naemi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Screening ovarian cancer by using risk factors: machine learning assists
Raoof Nopour
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 10
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 | Times Cited: 1
Recent advances in artificial intelligence applications for supportive and palliative care in cancer patients
Varun Reddy, Abdulwadud Nafees, Srinivas Raman
Current Opinion in Supportive and Palliative Care (2023)
Closed Access | Times Cited: 14
Multimodal Machine Learning for Prognosis and Survival Prediction in Renal Cell Carcinoma Patients: A Two-Stage Framework with Model Fusion and Interpretability Analysis
Keyue Yan, Simon Fong, Tengyue Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5686-5686
Open Access | Times Cited: 5
Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning
Jiaye Sun, Shijun Shao, Hua Wan, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Prediction of ovarian cancer using artificial intelligence tools
Seyed Mohammad Ayyoubzadeh, Marjan Ahmadi, Alireza Banaye Yazdipour, et al.
Health Science Reports (2024) Vol. 7, Iss. 7
Open Access | Times Cited: 4
Implementation of artificial intelligence approaches in oncology clinical trials: A systematic review
M. SAADY, Mahmoud Eissa, Ahmed S. Yacoub, et al.
Artificial Intelligence in Medicine (2025) Vol. 161, pp. 103066-103066
Closed Access
SOAR-ML: Synthetic Optimization and Augmentation for Robust Machine Learning in Oral Cancer Prediction
Akhil Chintalapati, Aparajita Senapati, Siddharth Pal, et al.
Communications in computer and information science (2025), pp. 174-187
Closed Access
Development of machine learning prognostic models for overall survival of epithelial ovarian cancer patients: a seer-based study
Jianing Fan, Yu Jiang, Xinyan Wang, et al.
Expert Review of Anticancer Therapy (2025)
Closed Access
Benchmarking histopathology foundation models for ovarian cancer bevacizumab treatment response prediction from whole slide images
Mayur Mallya, Ali Khajegili Mirabadi, David Farnell, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
A pioneering artificial intelligence tool to predict treatment outcomes in ovarian cancer via diagnostic laparoscopy
Xiaotian Ma, Yu‐Chun Hsu, Amma Asare, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Open science practices need substantial improvement in prognostic model studies in oncology using machine learning
Gary S. Collins, Rebecca Whittle, Garrett S. Bullock, et al.
Journal of Clinical Epidemiology (2023) Vol. 165, pp. 111199-111199
Open Access | Times Cited: 10
TLOD: Innovative ovarian tumor detection for accurate multiclass classification and clinical application
M. Jeya Sundari, N.C. Brintha
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 3
Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review
Nur Ghaniaviyanto Ramadhan, Adiwijaya Adiwijaya, Warih Maharani, et al.
IEEE Access (2024) Vol. 12, pp. 80698-80730
Open Access | Times Cited: 3
Machine learning-based models for prediction of the risk of stroke in coronary artery disease patients receiving coronary revascularization
Lu‐Lu Lin, Ding Li, Zhong-guo Fu, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0296402-e0296402
Open Access | Times Cited: 2
A deep learning approach for ovarian cancer detection and classification based on fuzzy deep learning
Eman I. Abd El-Latif, M. A. El-Dosuky, Ashraf Darwish, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Identifying Explainable Machine Learning Models and a Novel SFRP2+ Fibroblast Signature as Predictors for Precision Medicine in Ovarian Cancer
Ziyi Yang, Dandan Zhou, Jun Huang
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 23, pp. 16942-16942
Open Access | Times Cited: 5
Comparison of deep learning models to traditional Cox regression in predicting survival of colon cancer: Based on the SEER database
Zihan Qu, Yashan Wang, Dingjie Guo, et al.
Journal of Gastroenterology and Hepatology (2024) Vol. 39, Iss. 9, pp. 1816-1826
Closed Access | Times Cited: 1
Selective feature-based ovarian cancer prediction using MobileNet and explainable AI to manage women healthcare
Nouf Abdullah Almujally, Abdulrahman Alzahrani, A. Hakeem, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction
Sonam Gandotra, Yogesh Kumar, Nandini Modi, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 1
Mortality Prediction Modeling for Patients with Breast Cancer Based on Explainable Machine Learning
Sang Won Park, Y. S. Park, Eun‐Gyeong Lee, et al.
Cancers (2024) Vol. 16, Iss. 22, pp. 3799-3799
Open Access | Times Cited: 1
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