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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.

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Showing 1-25 of 177 citing articles:

A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects
Ibomoiye Domor Mienye, Yanxia Sun
IEEE Access (2022) Vol. 10, pp. 99129-99149
Open Access | Times Cited: 513
Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine
Vivek Lahoura, Harpreet Singh, Ashutosh Aggarwal, et al.
Diagnostics (2021) Vol. 11, Iss. 2, pp. 241-241
Open Access | Times Cited: 159
Breast cancer detection based on thermographic images using machine learning and deep learning algorithms
Viswanatha Reddy Allugunti
International Journal of Engineering in Computer Science (2022) Vol. 4, Iss. 1, pp. 49-56
Open Access | Times Cited: 151
Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms
Mahendran Botlagunta, Madhavi Devi Botlagunta, Myneni Madhu Bala, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 110
Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review
Deepak Painuli, Suyash Bhardwaj, Utku Köse
Computers in Biology and Medicine (2022) Vol. 146, pp. 105580-105580
Closed Access | Times Cited: 100
AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions
Navneet Vinod Melarkode, Kathiravan Srinivasan, Saeed Mian Qaisar, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1183-1183
Open Access | Times Cited: 67
Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning
Basem S. Abunasser, Mohammed Rasheed J. AL-Hiealy, Ihab Zaqout, et al.
Asian Pacific Journal of Cancer Prevention (2023) Vol. 24, Iss. 2, pp. 531-544
Open Access | Times Cited: 57
Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 25
A novel approach for breast cancer detection using optimized ensemble learning framework and XAI
Raafat M. Munshi, Lucia Cascone, Nazik Alturki, et al.
Image and Vision Computing (2024) Vol. 142, pp. 104910-104910
Closed Access | Times Cited: 18
An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin Diagnostic Breast Cancer dataset case
Law Kumar Singh, Munish Khanna, Rekha Singh
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 76607-76672
Closed Access | Times Cited: 17
A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning
E. Sreehari, L. D. Dhinesh Babu
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm
Shafaq Abbas, Zunera Jalil, Abdul Rehman Javed, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e390-e390
Open Access | Times Cited: 104
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach
Muhammet Fatih Ak, Melih Yücesan, Muhammet Gül
Stochastic Environmental Research and Risk Assessment (2021) Vol. 36, Iss. 2, pp. 629-642
Closed Access | Times Cited: 58
Breast Cancer Screening Based on Supervised Learning and Multi-Criteria Decision-Making
Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, İlker Özşahin, et al.
Diagnostics (2022) Vol. 12, Iss. 6, pp. 1326-1326
Open Access | Times Cited: 55
Breast Cancer Detection and Classification using Deep Learning Xception Algorithm
Basem S. Abunasser, Mohammed Rasheed J. AL-Hiealy, Ihab Zaqout, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 7
Open Access | Times Cited: 55
A Linear Discriminant Analysis and Classification Model for Breast Cancer Diagnosis
Marion O. Adebiyi, Micheal Olaolu Arowolo, Moses Damilola Mshelia, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11455-11455
Open Access | Times Cited: 51
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images
Muhammad Sakib Khan Inan, Fahim Irfan Alam, Rizwan Hasan
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103553-103553
Open Access | Times Cited: 48
Artificial intelligence based medical decision support system for early and accurate breast cancer prediction
Law Kumar Singh, Munish Khanna, Rekha Singh
Advances in Engineering Software (2022) Vol. 175, pp. 103338-103338
Closed Access | Times Cited: 48
Bio-Imaging-Based Machine Learning Algorithm for Breast Cancer Detection
Sadia Safdar, Muhammad Rizwan, Thippa Reddy Gadekallu, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1134-1134
Open Access | Times Cited: 43
Predictive modeling for breast cancer classification in the context of Bangladeshi patients by use of machine learning approach with explainable AI
Taminul Islam, Md. Alif Sheakh, Mst. Sazia Tahosin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Machine Learning in Healthcare Analytics: A State-of-the-Art Review
Surajit Das, Samaleswari Pr. Nayak, Biswajit Sahoo, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 9
Enhancing breast cancer prediction through stacking ensemble and deep learning integration
Fatih Gürcan
PeerJ Computer Science (2025) Vol. 11, pp. e2461-e2461
Open Access | Times Cited: 1
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: 52
Liquified Petroleum Gas-Fuelled Vehicle CO2 Emission Modelling Based on Portable Emission Measurement System, On-Board Diagnostics Data, and Gradient-Boosting Machine Learning
Maksymilian Mądziel
Energies (2023) Vol. 16, Iss. 6, pp. 2754-2754
Open Access | Times Cited: 22
Machine Learning Classification Algorithms for Accurate Breast Cancer Diagnosis
Mowafaq Salem Alzboon, Sami Qawasmeh, Muhyeeddin Alqaraleh, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 22
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