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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:

Modeling and comparing data mining algorithms for prediction of recurrence of breast cancer
Alireza Mosayebi, Barat Mojaradi, Ali Bonyadi Naeini, et al.
PLoS ONE (2020) Vol. 15, Iss. 10, pp. e0237658-e0237658
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Prediction of Breast Cancer using Machine Learning Approaches
Reza Rabiei
Journal of Biomedical Physics and Engineering (2022) Vol. 12, Iss. 3
Open Access | Times Cited: 87
Machine Learning Algorithms to Predict Recurrence within 10 Years after Breast Cancer Surgery: A Prospective Cohort Study
Shi‐Jer Lou, Ming‐Feng Hou, Hong‐Tai Chang, et al.
Cancers (2020) Vol. 12, Iss. 12, pp. 3817-3817
Open Access | Times Cited: 51
Machine Learning Classifiers on Breast Cancer Recurrences
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
Procedia Computer Science (2021) Vol. 192, pp. 2742-2752
Open Access | Times Cited: 51
Prediction of Breast Cancer Recurrence With Machine Learning
M. Mehdi Owrang O, G. Schwarz, Fariba Jafari Horestani
Advances in information quality and management (2024), pp. 1-33
Open Access | Times Cited: 7
Solving the multicollinearity problem to improve the stability of machine learning algorithms applied to a fully annotated breast cancer dataset
Katrina Sundus, Bassam Hammo, Mohammad B. Al-Zoubi, et al.
Informatics in Medicine Unlocked (2022) Vol. 33, pp. 101088-101088
Open Access | Times Cited: 26
Machine learning models for prediction of NPVR ≥80% with HIFU ablation for uterine fibroids
Meijie Yang, Ying Chen, Xue Zhou, et al.
International Journal of Hyperthermia (2025) Vol. 42, Iss. 1
Open Access
Minority oversampling for imbalanced time series classification
Tuanfei Zhu, Cheng Luo, Zhihong Zhang, et al.
Knowledge-Based Systems (2022) Vol. 247, pp. 108764-108764
Open Access | Times Cited: 20
Use of artificial intelligence in breast surgery: a narrative review
Ishith Seth, Bryan Lim, Konrad Joseph, et al.
Gland Surgery (2024) Vol. 13, Iss. 3, pp. 395-411
Open Access | Times Cited: 4
Breast Cancer Prognosis Using Machine Learning and Artificial Intelligence: A Review of Predictive Models in Breast Cancer Metastasis
João Rocha Rocha-Gomes, Inês Fortuna
Smart innovation, systems and technologies (2025), pp. 103-113
Closed Access
Breast cancer recurrence prediction with ensemble methods and cost-sensitive learning
Pei-Tse Yang, Wen-Shuo Wu, Chia‐Chun Wu, et al.
Open Medicine (2021) Vol. 16, Iss. 1, pp. 754-768
Open Access | Times Cited: 26
Application of Artificial Intelligence Techniques to Predict Risk of Recurrence of Breast Cancer: A Systematic Review
Claudia Mazo, Claudia Aura, Arman Rahman, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 9, pp. 1496-1496
Open Access | Times Cited: 18
Prediction of subsequent fragility fractures: application of machine learning
Mozhdeh Zabihiyeganeh, Alireza Mirzaei, Pouria Tabrizian, et al.
BMC Musculoskeletal Disorders (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Comparing outcomes of single-port insufflation endoscopic breast-conserving surgery and conventional open approach for breast cancer
Fang Xie, Zihan Wang, Shanshan Wu, et al.
World Journal of Surgical Oncology (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 12
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection
Anaram Yaghoobi Notash, Aidin Yaghoobi Notash, Zahra Omidi, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 9
A Comparative Evaluation of Cancer Classification via TP53 Gene Mutations Using Machin Learning
Dina Y. Mikhail, Firas Husham Almukhtar, Shahab Wahhab Kareem
Asian Pacific Journal of Cancer Prevention (2022) Vol. 23, Iss. 7, pp. 2459-2467
Open Access | Times Cited: 9
Predicting second breast cancer among women with primary breast cancer using machine learning algorithms, a population‐based observational study
Maria‐Eleni Syleouni, Nena Karavasiloglou, Laura Manduchi, et al.
International Journal of Cancer (2023) Vol. 153, Iss. 5, pp. 932-941
Open Access | Times Cited: 5
Application of Data Mining Techniques in Biopsy Interpretation and Staging of Carcinoma Cancer Disease: A Case Study of Northeastern Nigeria
Ibrahim Hassan, Ahmed Haruna Dokoro, Etemi Joshua Garba, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 2567-2575
Open Access | Times Cited: 1
Interpretable Machine Learning Model for Breast Cancer Prediction Using LIME and SHAP
B. Uma Maheswari, A Aaditi, Ananya Avvaru, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access | Times Cited: 1
Prediction of Breast Cancer Recurrence With Machine Learning
Fariba Jafari Horestani, M. Mehdi Owrang O, G. Schwarz
Authorea (Authorea) (2024)
Open Access | Times Cited: 1
Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning Models
Ghanashyam Sahoo, Ajit Kumar Nayak, Pradyumna Kumar Tripathy, et al.
Current Oncology (2024) Vol. 31, Iss. 11, pp. 6577-6597
Open Access | Times Cited: 1
Machine Learning Algorithms: Prediction and Feature Selection for Clinical Refracture after Surgically Treated Fragility Fracture
Hirokazu Shimizu, Ken Enda, Tomohiro Shimizu, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 7, pp. 2021-2021
Open Access | Times Cited: 7
Unique clusters of patterns of breast cancer survivorship
Hilary I. Okagbue, Pelumi E. Oguntunde, Patience I. Adamu, et al.
Health and Technology (2022) Vol. 12, Iss. 2, pp. 365-384
Closed Access | Times Cited: 5
Comparative Analysis on Breast Cancer Prediction Using Machine Learning Techniques
Anushree Raj, M. O. Pallavi
Advances in intelligent systems and computing (2023), pp. 377-388
Closed Access | Times Cited: 2
Public health implications of computer-aided diagnosis and treatment technologies in breast cancer care
Kai Cheng, Jiangtao Wang, Jian Liu, et al.
AIMS Public Health (2023) Vol. 10, Iss. 4, pp. 867-895
Open Access | Times Cited: 2
An Enhanced Approach to Predict Re-occurrences of Breast Cancer Using Machine Learning
M. Sheshikala, Dadi Ramesh, Sallauddin Mohmmad, et al.
Lecture notes in electrical engineering (2022), pp. 107-117
Closed Access | Times Cited: 4
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