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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:

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

Showing 17 citing articles:

A comparative study of machine learning models with LASSO and SHAP feature selection for breast cancer prediction
Md. Shazzad Hossain Shaon, Tasmin Karim, Shahriar Shakil, et al.
Healthcare Analytics (2024) Vol. 6, pp. 100353-100353
Open Access | Times Cited: 8
Cancer classification using RNA sequencing gene expression data based on Game Shapley local search embedded binary social ski-driver optimization algorithms
Sana Afreen, Ajay Kumar Bhurjee, Rabia Musheer Aziz
Microchemical Journal (2024) Vol. 205, pp. 111280-111280
Closed Access | Times Cited: 7
Refining breast cancer classification: Customized attention integration approaches with dense and residual networks for enhanced detection
Mohammad Sakif Alam, Anwar Hossain Efat, SM Mahedy Hasan, et al.
Digital Health (2025) Vol. 11
Open Access
Enhancing remote sensing image analysis: optimization of a hybrid deep network through HHO algorithm
Monia Digra, Renu Dhir, Nonita Sharma
Multimedia Tools and Applications (2025)
Closed Access
Meme Kanseri Tanısında Wisconsin Veri Seti ile Makine Öğrenmesi Uygulamaları
Refik Tangi, Ramazan Solmaz
Bilişim Teknolojileri Dergisi (2025) Vol. 18, Iss. 1, pp. 29-43
Open Access
Performance Analysis of Machine Learning Models with Optimized Feature Selection Techniques for Darknet Traffic Classification
Felix Etyang, Pramod Pavithran, Gideon Mwendwa, et al.
Research Square (Research Square) (2025)
Closed Access
A novel and efficient statistical and soft-computing intelligence integrated feature selection technique for human chronic diseases prediction
Amit Kumar Yadav, Munish Khanna, Darpan Anand
Multimedia Tools and Applications (2025)
Closed Access
Efficient feature selection based on Gower distance for breast cancer diagnosis
Salwa Shakir Baawi, Mustafa Noaman Kadhim, Dhiah Al‐Shammary
Journal of Electronic Science and Technology (2025), pp. 100315-100315
Open Access
QENN: breast cancer prediction using quantum-enhanced neural network
Vimal Dixit, Krishnan Rajkumar
The Journal of Supercomputing (2025) Vol. 81, Iss. 7
Closed Access
Optimizing Breast Cancer Diagnosis: Harnessing the Power of Nature-Inspired Metaheuristics for Feature Selection with Soft Voting Classifiers
Salsabila Benghazouani, Said Nouh, Abdelali Zakrani
International Journal of Cognitive Computing in Engineering (2024)
Open Access | Times Cited: 2
A comparative performance assessment of artificial intelligence based classifiers and optimized feature reduction technique for breast cancer diagnosis
Shumaila Batool, Saima Zainab
Computers in Biology and Medicine (2024) Vol. 183, pp. 109215-109215
Closed Access | Times Cited: 2
Deep features and metaheuristics guided optimization-based method for breast cancer diagnosis
Emon Asad, Ayatullah Faruk Mollah, Subhadip Basu, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
ELM and LIGHTGBM: A Hybrid Machine Learning Technique with Intelligent IOT to Predict the cardiovascular disease
Gorapalli Srinivasa Rao, G. Muneeswari
Karbala International Journal of Modern Science (2024) Vol. 10, Iss. 2
Open Access
Ontological modeling with recursive recurrent neural network and crayfish optimization for reliable breast cancer prediction
V. Rajeswari, K. Sakthi Priya
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106810-106810
Closed Access
Boosting medical diagnostics with a novel gradient-based sample selection method
Samet Aymaz
Computers in Biology and Medicine (2024) Vol. 182, pp. 109165-109165
Closed Access
Improving the Machine Learning Stock Trading System: An N‐Period Volatility Labeling and Instance Selection Technique
Yena Song, Myeongseok Park, Jaeyun Kim
Complexity (2024) Vol. 2024, Iss. 1
Open Access
New Hybrid Feature Selection Approaches Based on ANN and Novel Sparsity Norm
Khadijeh Nemati, A. H. Refahi Sheikhani, Sohrab Kordrostami, et al.
Journal of Electrical and Computer Engineering (2024) Vol. 2024, Iss. 1
Open Access
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