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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:

Machine learning prediction of breast cancer survival using age, sex, length of stay, mode of diagnosis and location of cancer
Hilary I. Okagbue, Patience I. Adamu, Pelumi E. Oguntunde, et al.
Health and Technology (2021) Vol. 11, Iss. 4, pp. 887-893
Closed Access | Times Cited: 17

Showing 17 citing articles:

Breast Cancer Detection Based on Modified Harris Hawks Optimization and Extreme Learning Machine Embedded with Feature Weighting
Feng Jiang, Qiannan Zhu, Tianhai Tian
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 3631-3654
Closed Access | Times Cited: 16
Iterative Tuning of Tree-Ensemble-Based Models' parameters Using Bayesian Optimization for Breast Cancer Prediction
Ayman Alsabry, Malek Algabri
Informatics and Automation (2024) Vol. 23, Iss. 1, pp. 129-168
Open Access | Times Cited: 2
Dense Convolutional Neural Network Based Deep Learning Framework for the Diagnosis of Breast Cancer
Hardeep Kaur
Wireless Personal Communications (2023) Vol. 132, Iss. 3, pp. 1765-1780
Closed Access | Times Cited: 6
Using Explainable Machine Learning to Explore the Impact of Synoptic Reporting on Prostate Cancer
Femke M. Janssen, Katja K.H. Aben, Berdine L. Heesterman, et al.
Algorithms (2022) Vol. 15, Iss. 2, pp. 49-49
Open Access | Times Cited: 10
Extreme Gradient Boosting and Soft Voting Ensemble Classifier for Diabetes Prediction
Dayal Kumar Behera, Shreela Dash, Ajit Kumar Behera, et al.
(2021)
Closed Access | Times Cited: 12
Hyper Tuned RBF SVM: A New Approach for the Prediction of the Breast Cancer
Surita Maini, Sanjay Dhanka
(2024), pp. 1-4
Closed Access | Times Cited: 1
Design and Development of an Intelligent System for Predicting 5-Year Survival in Gastric Cancer
Mohammad Reza Afrash, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Clinical Medicine Insights Oncology (2022) Vol. 16
Open Access | Times Cited: 6
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
THE EFFECTS OF DECOMPOSITION OF THE GOALS SCORED IN CLASSIFYING THE OUTCOMES OF FIVE ENGLISH PREMIER LEAGUE SEASONS USING MACHINE LEARNING MODELS
Tomilayo P. Iyiola
Advances and Applications in Statistics (2023) Vol. 87, Iss. 1, pp. 13-27
Open Access | Times Cited: 2
RETRACTED: Prediction of Breast cancer using integrated machine learning-fuzzy and dimension reduction techniques
Sashikanta Prusty, Priti Das, Sujit Kumar Dash, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 1, pp. 1633-1652
Open Access | Times Cited: 1
Performance Analysis of Breast Cancer Data Using Mann–Whitney U Test and Machine Learning
Priyanka Khanna, Mridu Sahu
Lecture notes in electrical engineering (2023), pp. 277-286
Closed Access | Times Cited: 1
BC-Net: Early Diagnostics of Breast Cancer Using Nested Ensemble Technique of Machine Learning
Kuljeet Singh, Sourabh Shastri, Sachin Kumar, et al.
Automatic Control and Computer Sciences (2023) Vol. 57, Iss. 6, pp. 646-659
Closed Access | Times Cited: 1
Risk Factor Analysis in Breast Cancer Using Principal Component Analysis
Charanpreet Kaur, Rosy Madaan
(2023), pp. 482-487
Closed Access | Times Cited: 1
Machine Learning-Based Diabetes Prediction Using Missing Value Impotency
Santi Kumari Behera, Julie Palei, Dayal Kumar Behera, et al.
Smart innovation, systems and technologies (2022), pp. 575-584
Closed Access | Times Cited: 1
USE OF THE FIRST AND SECOND HALVES RESULTS TO CLASSIFY THE FINAL OUTCOME OF ENGLISH PREMIER LEAGUE MATCHES
Tomilayo P. Iyiola, Hilary I. Okagbue, Oluwole A. Odetunmibi
Advances and Applications in Statistics (2022) Vol. 82, pp. 53-64
Open Access | Times Cited: 1
Single-label machine learning classification revealed some hidden but inter-related causes of five psychotic disorder diseases
Hilary I. Okagbue, Ogochukwu Ann Ijezie, Paulinus O. Ugwoke, et al.
Heliyon (2023) Vol. 9, Iss. 9, pp. e19422-e19422
Open Access
Breast Cancer Recurrence Prediction Using Data Mining
Rosy Madaan Charanpreet Kaur
Tuijin Jishu/Journal of Propulsion Technology (2023) Vol. 44, Iss. 3, pp. 697-706
Open Access
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