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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:

A Comparative Analysis of Nonlinear Machine Learning Algorithms for Breast Cancer Detection
Ali Al Bataineh
International Journal of Machine Learning and Computing (2019) Vol. 9, Iss. 3, pp. 248-254
Open Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Prediction of Breast Cancer, Comparative Review of Machine Learning Techniques, and Their Analysis
Noreen Fatima, Li Liu, Sha Hong, et al.
IEEE Access (2020) Vol. 8, pp. 150360-150376
Open Access | Times Cited: 173
Advances in Machine Learning Modeling Reviewing Hybrid and Ensemble Methods
Sina Ardabili, Amir Mosavi, Annamária R. Várkonyi-Kóczy
Lecture notes in networks and systems (2020), pp. 215-227
Closed Access | Times Cited: 168
MLP-PSO Hybrid Algorithm for Heart Disease Prediction
Ali Al Bataineh, Sarah Manacek
Journal of Personalized Medicine (2022) Vol. 12, Iss. 8, pp. 1208-1208
Open Access | Times Cited: 84
A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management
Maria Drogkoula, Konstantinos Kokkinos, Nicholas Samaras
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12147-12147
Open Access | Times Cited: 46
Comparative analysis of breast cancer detection using machine learning and biosensors
Yash Amethiya, Prince Pipariya, Shlok Patel, et al.
Intelligent Medicine (2021) Vol. 2, Iss. 2, pp. 69-81
Open Access | Times Cited: 92
Breast Cancer Screening Based on Supervised Learning and Multi-Criteria Decision-Making
Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, Ilker Ozsahin, et al.
Diagnostics (2022) Vol. 12, Iss. 6, pp. 1326-1326
Open Access | Times Cited: 51
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: 42
Multi-Layer Perceptron Training Optimization Using Nature Inspired Computing
Ali Al Bataineh, Devinder Kaur, Seyed Mohammad Jafar Jalali
IEEE Access (2022) Vol. 10, pp. 36963-36977
Open Access | Times Cited: 41
Predicting breast cancer recurrence using deep learning
Deepa Kumari, M. Naidu, Subhrakanta Panda, et al.
Deleted Journal (2025) Vol. 7, Iss. 2
Open Access
Advances in Machine Learning Modeling Reviewing Hybrid and Ensemble Methods<strong> </strong>
Sina Ardabili, Amir Mosavi, Annamária R. Várkonyi-Kóczy
(2019)
Open Access | Times Cited: 46
Meta-Health Stack: A new approach for breast cancer prediction
Mina Samieinasab, Seyed Ahmad Torabzadeh, Arman Behnam, et al.
Healthcare Analytics (2021) Vol. 2, pp. 100010-100010
Open Access | Times Cited: 32
A Comprehensive Review Study on: Optimized Data Mining, Machine Learning and Deep Learning Techniques for Breast Cancer Prediction in Big Data Context
Madhu Kirola, Minakshi Memoria, Ankur Dumka, et al.
Biomedical & Pharmacology Journal (2022) Vol. 15, Iss. 1, pp. 13-25
Closed Access | Times Cited: 23
Automated CNN Architectural Design: A Simple and Efficient Methodology for Computer Vision Tasks
Ali Al Bataineh, Devinder Kaur, Mahmood Al-khassaweneh, et al.
Mathematics (2023) Vol. 11, Iss. 5, pp. 1141-1141
Open Access | Times Cited: 13
A diagnostic genomic signal processing (GSP)-based system for automatic feature analysis and detection of COVID-19
Safaa M. Naeem, Mai S. Mabrouk, Samir Y. Marzouk, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1197-1205
Open Access | Times Cited: 35
Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Stephanie Noronha, Mayuri A. Mehta, Dweepna Garg, et al.
IEEE Access (2023) Vol. 11, pp. 140348-140381
Open Access | Times Cited: 10
Telecom Fraud Identification Based on ADASYN and Random Forest
C. Lü, Shaofu Lin, Xiliang Liu, et al.
2022 7th International Conference on Computer and Communication Systems (ICCCS) (2020)
Closed Access | Times Cited: 26
Intelligent breast cancer diagnostic system empowered by deep extreme gradient descent optimization
Muhammad Bilal Khan, Atta Rahman, Muhammad Saqib Nawaz, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 8, pp. 7978-8002
Open Access | Times Cited: 15
Performance evaluation of machine learning for breast cancer diagnosis: A case study
Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi, Mohammad Bolbolian Ghalibaf, et al.
Informatics in Medicine Unlocked (2022) Vol. 31, pp. 101009-101009
Open Access | Times Cited: 14
March Madness prediction: Different machine learning approaches with non‐box score statistics
Jun Woo Kim, Mar Magnusen, Seung-hoon Jeong
Managerial and Decision Economics (2023) Vol. 44, Iss. 4, pp. 2223-2236
Closed Access | Times Cited: 8
An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction
Sihan Niu, Yifan Zhou, Zhikai Li, et al.
Smart innovation, systems and technologies (2024), pp. 527-542
Closed Access | Times Cited: 2
A Comparative Analysis and Predicting for Breast Cancer Detection Based on Data Mining Models
Shler Farhad Khorshid, Adnan Mohsin Abdulazeez, Amira Bibo Sallow
Asian Journal of Research in Computer Science (2021), pp. 45-59
Open Access | Times Cited: 15
An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis
Ali Al Bataineh, Seyed Mohammad Jafar Jalali, Seyed Jalaleddin Mousavirad, et al.
Expert Systems (2024) Vol. 41, Iss. 4
Closed Access | Times Cited: 1
Breast Cancer Prediction Using Support Vector Machine Ensemble with PCA Feature Selection Method
Nurul Hidayah Parman, Rohayanti Hassan, Noor Hidayah Zakaria
International Journal of Innovative Computing (2024) Vol. 14, Iss. 1, pp. 15-19
Open Access | Times Cited: 1
An Early Diagnosis of Breast Cancer through Integrated Model of Random Forest and Catboost
Nikhitha Vadlamudi, Baby Naina Tara Korivi, Kranthi Kumar
(2024), pp. 136-140
Closed Access | Times Cited: 1
A novel deep learning approach (Bi-xBcNet-96) considering green AI to discover breast cancer using mammography images
Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal El‐Fishawy, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12701-12723
Open Access | Times Cited: 1
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