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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:

Performance Analysis of XGBoost Ensemble Methods for Survivability with the Classification of Breast Cancer
T R Mahesh, V. Vinoth Kumar, V. Muthukumaran, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Homogeneous Adaboost Ensemble Machine Learning Algorithms with Reduced Entropy on Balanced Data
Mahesh Thyluru Ramakrishna, Vinoth Kumar Venkatesan, Ivan Izonin, et al.
Entropy (2023) Vol. 25, Iss. 2, pp. 245-245
Open Access | Times Cited: 54
Complete Breast Cancer Detection and Monitoring System by Using Microwave Textile Based Antenna Sensors
Dalia M. Elsheakh, Rawda A. Mohamed, Omar M. Fahmy, et al.
Biosensors (2023) Vol. 13, Iss. 1, pp. 87-87
Open Access | Times Cited: 53
Air quality prediction by machine learning models: A predictive study on the indian coastal city of Visakhapatnam
Gokulan Ravindiran, Gasim Hayder, K. Karthick, et al.
Chemosphere (2023) Vol. 338, pp. 139518-139518
Open Access | Times Cited: 47
Classification Prediction of Breast Cancer Based on Machine Learning
Hua Chen, Nan Wang, Xueping Du, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 43
Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis
Zohreh Javanmard, Saba Zarean Shahraki, Kosar Safari, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access | Times Cited: 1
Efficient Data Preprocessing with Ensemble Machine Learning Technique for the Early Detection of Chronic Kidney Disease
Vinoth Kumar Venkatesan, Mahesh Thyluru Ramakrishna, Ivan Izonin, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 2885-2885
Open Access | Times Cited: 33
High-Performance Artificial Intelligence Recommendation of Quality Research Papers Using Effective Collaborative Approach
Vinoth Kumar Venkatesan, Mahesh Thyluru Ramakrishna, Anatoliy Batyuk, et al.
Systems (2023) Vol. 11, Iss. 2, pp. 81-81
Open Access | Times Cited: 28
A novel autoencoder based feature independent GA optimised XGBoost classifier for IoMT malware detection
L. Dhanya, R. Chitra
Expert Systems with Applications (2023) Vol. 237, pp. 121618-121618
Closed Access | Times Cited: 25
Impact of air pollutants on climate change and prediction of air quality index using machine learning models
Gokulan Ravindiran, Sivarethinamohan Rajamanickam, K. Karthick, et al.
Environmental Research (2023) Vol. 239, pp. 117354-117354
Closed Access | Times Cited: 24
A Hybrid Algorithm of ML and XAI to Prevent Breast Cancer: A Strategy to Support Decision Making
Fabián Silva-Aravena, Hugo Núñez Delafuente, Jimmy H. Gutiérrez‐Bahamondes, et al.
Cancers (2023) Vol. 15, Iss. 9, pp. 2443-2443
Open Access | Times Cited: 23
Advanced Machine Learning Techniques for Accurate Very-Short-Term Wind Power Forecasting in Wind Energy Systems Using Historical Data Analysis
G. Ponkumar, S. Jayaprakash, K. Karthick
Energies (2023) Vol. 16, Iss. 14, pp. 5459-5459
Open Access | Times Cited: 22
A Comparative Analysis of Machine Learning Algorithms for Breast Cancer Detection and Identification of Key Predictive Features
Amit Kumar, Rashmi Saini, Rajeev Kumar
Traitement du signal (2024) Vol. 41, Iss. 1
Open Access | Times Cited: 11
Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
How to stop worrying and love multiple citation experimental data
Yaroslav Vladislavovich Timofeev, Amir M. Mrasov, Maria V. Panova, et al.
Mendeleev Communications (2025) Vol. 35, Iss. 2, pp. 224-227
Closed Access
Precision Forecasting in Colorectal Oncology: Predicting Six-Month Survival to Optimize Clinical Decisions
Jae-Hyuk Lee, Youngchae Cho, Yeunwoong Kyung, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 880-880
Open Access
Machine learning analysis reveals tumor stiffness and hypoperfusion as biomarkers predictive of cancer treatment efficacy
Demetris Englezos, Chrysovalantis Voutouri, Triantafyllos Stylianopoulos
Translational Oncology (2024) Vol. 44, pp. 101944-101944
Open Access | Times Cited: 4
Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings
Daniel Asuquo, Kingsley Attai, Okure Obot, et al.
Clinical eHealth (2024) Vol. 7, pp. 52-76
Open Access | Times Cited: 4
Comprehensive Assessment of BERT-Based Methods for Predicting Antimicrobial Peptides
W J Gao, Jun Zhao, Jianfeng Gui, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 2
Effective Feature Engineering and Classification of Breast Cancer Diagnosis: A Comparative Study
Emilija Strelcenia, Simant Prakoonwit
BioMedInformatics (2023) Vol. 3, Iss. 3, pp. 616-631
Open Access | Times Cited: 6
An optimized method for mulberry silkworm, Bombyx mori (Bombycidae:Lepidoptera) sex classification using TLBPSGA-RFEXGBoost
Sania Thomas, Jyothi Thomas
Biology Open (2024) Vol. 13, Iss. 7
Open Access | Times Cited: 1
Breast Cancer Prediction Based on Differential Privacy and Logistic Regression Optimization Model
Hua Chen, Nan Wang, Yuan Zhou, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10755-10755
Open Access | Times Cited: 4
Machine Learning for Breast Cancer Detection with Dual-Port Textile UWB MIMO Bra-Tenna System
Azza H. Elnaggar, Anwer S. Abd El-Hameed, Mohamed Yakout, et al.
Information (2024) Vol. 15, Iss. 8, pp. 467-467
Open Access | Times Cited: 1
Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy
Hua Chen, Kehui Mei, Yuan Zhou, et al.
IEEE Access (2023) Vol. 11, pp. 96374-96386
Open Access | Times Cited: 3
Comparing the Min–Max–Median/IQR Approach with the Min–Max Approach, Logistic Regression and XGBoost, Maximising the Youden Index
Rocío Aznar-Gimeno, Luis Esteban, Gerardo Sanz, et al.
Symmetry (2023) Vol. 15, Iss. 3, pp. 756-756
Open Access | Times Cited: 2
A structured combination of ensemble classifier and filter-based feature selection to improve breast cancer diagnosis
Dengru Zheng, Ping Tang, Danping Lu, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 16, pp. 14519-14534
Closed Access | Times Cited: 2
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