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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:

Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble
Yueling Xiong, Mingquan Ye, Changrong Wu
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A comprehensive review on ensemble deep learning: Opportunities and challenges
Ammar Mohammed, Rania Kora
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 2, pp. 757-774
Open Access | Times Cited: 449
Bias and Class Imbalance in Oncologic Data—Towards Inclusive and Transferrable AI in Large Scale Oncology Data Sets
Erdal Taşçı, Ying Zhuge, Kevin Camphausen, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 2897-2897
Open Access | Times Cited: 58
New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning
Much Aziz Muslim, Tiara Lailatul Nikmah, Dwika Ananda Agustina Pertiwi, et al.
Intelligent Systems with Applications (2023) Vol. 18, pp. 200204-200204
Open Access | Times Cited: 40
Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis
Omar Abdullah Murshed Farhan Alnaggar, Basavaraj N Jagadale, Mufeed Ahmed Naji Saif, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 8
Intelligent Decision Support System for Predicting Student’s E-Learning Performance Using Ensemble Machine Learning
Farrukh Saleem, Zahid Ullah, Bahjat Fakieh, et al.
Mathematics (2021) Vol. 9, Iss. 17, pp. 2078-2078
Open Access | Times Cited: 46
Brain Tumor Classification based on Improved Stacked Ensemble Deep Learning Methods
Zobeda Hatif Naji Al-azzwi, Alexey Nazarov
Asian Pacific Journal of Cancer Prevention (2023) Vol. 24, Iss. 6, pp. 2141-2148
Open Access | Times Cited: 20
Machine learning (ML) techniques to predict breast cancer in imbalanced datasets: a systematic review
Arman Ghavidel, Pilar Pazos
Journal of Cancer Survivorship (2023)
Closed Access | Times Cited: 16
The Application of Artificial Intelligence to Cancer Research: A Comprehensive Guide
Amin Zadeh Shirazi, Morteza Tofighi, Alireza Gharavi, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access | Times Cited: 4
Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods
José Alberto Benítez‐Andrades, Camino Prada‐García, Nicolás Ordás-Reyes, et al.
Health Information Science and Systems (2025) Vol. 13, Iss. 1
Open Access
A Bayesian optimization tunning integrated multi-stacking classifier framework for the prediction of radiodermatitis from 4D-CT of patients underwent breast cancer radiotherapy
Kuan Wu, Xiaoyan Miu, Hui Wang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 11
A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study
Jun Wang, Hongmei Chen, Houwei Wang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e43815-e43815
Open Access | Times Cited: 9
Machine Learning-Based Approach for Early Diagnosis of Breast Cancer Using Biomarkers and Gene Expression Profiles
Ankita Sahu, Sahar Qazi, Khalid Raza, et al.
Studies in computational intelligence (2022), pp. 285-306
Closed Access | Times Cited: 15
Ensemble machine learning framework for predicting maternal health risk during pregnancy
Alaa O. Khadidos, Farrukh Saleem, Shitharth Selvarajan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A Weighted Likelihood Ensemble Approach for Failure Prediction of Water Pipes
Ramiz Beig Zali, Milad Latifi, Akbar A. Javadi, et al.
Journal of Water Resources Planning and Management (2024) Vol. 151, Iss. 2
Closed Access | Times Cited: 1
Investigate the Ensemble Model by Intelligence Analysis to Improve the Accuracy of the Classification Data in the Diagnostic and Treatment Interventions for Prostate Cancer
Abdelrahman Elsharif Karrar
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Boosting and bagging classification for computer science journal
Nastiti Susetyo Fanany Putri, Aji Prasetya Wibawa, Harits Ar Rasyid, et al.
International Journal of Advances in Intelligent Informatics (2023) Vol. 9, Iss. 1, pp. 27-27
Open Access | Times Cited: 3
Tumor Nonimmune-Microenvironment-Related Gene Expression Signature Predicts Brain Metastasis in Lung Adenocarcinoma Patients after Surgery: A Machine Learning Approach Using Gene Expression Profiling
Seokjin Haam, Jae‐Ho Han, Hyun Woo Lee, et al.
Cancers (2021) Vol. 13, Iss. 17, pp. 4468-4468
Open Access | Times Cited: 7
Effectiveness evaluation of machine learning algorithms for breast cancer prediction
Abdulrahman Ahmed Jasim, Ahmed Adeeb Jalal, Nabaa Mohammad Abdulateef, et al.
Bulletin of Electrical Engineering and Informatics (2022) Vol. 11, Iss. 3, pp. 1516-1525
Open Access | Times Cited: 5
Ensemble Learning for the Survivability Prediction of Breast Cancer Patients Using METABRIC and SEER Datasets
E. Jenifer Sweetlin, S. Saudia
(2023)
Closed Access | Times Cited: 2
Image segmentation of mouse eye in vivo with optical coherence tomography based on Bayesian classification
Fei Ma, Shengbo Wang, Yanfei Guo, et al.
Biomedical Engineering / Biomedizinische Technik (2024) Vol. 69, Iss. 3, pp. 307-315
Closed Access
Enhanced Efficiency in Lung Cancer Classification via Deep Learning Ensembles
Soumya Vats, Arushi Garg, Smridhi Gupta, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access
A Bayesian Imprecise Classification method that weights instances using the error costs
Serafín Moral‐García, Tahani Coolen‐Maturi, Frank P. A. Coolen, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112080-112080
Closed Access
Enhancing generalization in Sickle Cell Disease diagnosis through ensemble methods and feature importance analysis
Nataša Petrović, Gabriel Moyà-Alcover, Antoni Jaume-i-Capó, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109875-109875
Open Access
Machine Learning Applications in Adsorption of Water Pollutants
Victor Odhiambo Shikuku, Newton Masinde
Advances in environmental engineering and green technologies book series (2023), pp. 1-30
Closed Access | Times Cited: 1
SVM-DO: identification of tumor-discriminating mRNA signatures via support vectormachines supported by disease ontology
Mustafa Erhan Ozer, Pemra Özbek, Kazım Yalçın Arğa
TURKISH JOURNAL OF BIOLOGY (2023) Vol. 47, Iss. 6, pp. 349-365
Open Access | Times Cited: 1
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