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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:

Simultaneous feature weighting and parameter determination of Neural Networks using Ant Lion Optimization for the classification of breast cancer
Dalwinder Singh, Birmohan Singh, Manpreet Kaur
Journal of Applied Biomedicine (2019) Vol. 40, Iss. 1, pp. 337-351
Closed Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Feature wise normalization: An effective way of normalizing data
Dalwinder Singh, Birmohan Singh
Pattern Recognition (2021) Vol. 122, pp. 108307-108307
Closed Access | Times Cited: 110
A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges
Sukhpreet Kaur, Yogesh Kumar, Apeksha Koul, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 1863-1895
Open Access | Times Cited: 109
Predicting Breast Cancer from Risk Factors Using SVM and Extra-Trees-Based Feature Selection Method
Ganjar Alfian, Muhammad Syafrudin, Imam Fahrurrozi, et al.
Computers (2022) Vol. 11, Iss. 9, pp. 136-136
Open Access | Times Cited: 90
GARL-Net: Graph Based Adaptive Regularized Learning Deep Network for Breast Cancer Classification
Vivek Patel, Vijayshri Chaurasia, Rajesh Mahadeva, et al.
IEEE Access (2023) Vol. 11, pp. 9095-9112
Open Access | Times Cited: 43
Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion Optimizer
Shankar Thawkar, Satish J. Sharma, Munish Khanna, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104968-104968
Closed Access | Times Cited: 96
Computer-aided detection of breast cancer on the Wisconsin dataset: An artificial neural networks approach
Mohammad H. Alshayeji, Hanem Ellethy, Sa’ed Abed, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103141-103141
Closed Access | Times Cited: 80
A hybrid artificial bee colony with whale optimization algorithm for improved breast cancer diagnosis
S. Punitha, Thompson Stephan, Ramani Kannan, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 20, pp. 13667-13691
Closed Access | Times Cited: 59
Classification of breast cancer from histopathology images using an ensemble of deep multiscale networks
R. Karthik, R. Menaka, M. V. Siddharth
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 963-976
Closed Access | Times Cited: 50
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
Modified binary salp swarm algorithm in EEG signal classification for epilepsy seizure detection
Seyed Morteza Ghazali, Mousa Alizadeh, Jalil Mazloum, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103858-103858
Closed Access | Times Cited: 40
A Novel Approach for Data Feature Weighting Using Correlation Coefficients and Min–Max Normalization
Mohammed Shantal, Zalinda Othman, Azuraliza Abu Bakar
Symmetry (2023) Vol. 15, Iss. 12, pp. 2185-2185
Open Access | Times Cited: 34
Cancer detection and segmentation using machine learning and deep learning techniques: a review
Hari Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27001-27035
Closed Access | Times Cited: 33
A Light Gradient-Boosting Machine algorithm with Tree-Structured Parzen Estimator for breast cancer diagnosis
Temidayo Oluwatosin Omotehinwa, David Opeoluwa Oyewola, Emmanuel Gbenga Dada
Healthcare Analytics (2023) Vol. 4, pp. 100218-100218
Open Access | Times Cited: 32
Breast cancer diagnosis using Orca predation optimization algorithm
P. Kaladevi, V.V. Punitha, D. Muthusankar, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 3, pp. 3855-3873
Closed Access | Times Cited: 28
Hybrid Multilevel Thresholding Image Segmentation Approach for Brain MRI
Suvita Rani Sharma, Samah Alshathri, Birmohan Singh, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 925-925
Open Access | Times Cited: 26
A breast cancer risk predication and classification model with ensemble learning and big data fusion
Varshali Jaiswal, Praneet Saurabh, Umesh Kumar Lilhore, et al.
Decision Analytics Journal (2023) Vol. 8, pp. 100298-100298
Open Access | Times Cited: 25
An optimized model based on adaptive convolutional neural network and grey wolf algorithm for breast cancer diagnosis
Khaled Alnowaiser, Abeer Saber, Esraa Hassan, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0304868-e0304868
Open Access | Times Cited: 9
An efficient classification framework for breast cancer using hyper parameter tuned Random Decision Forest Classifier and Bayesian Optimization
Pratheep Kumar P, Mary Amala Bai, Geetha G. Nair
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102682-102682
Closed Access | Times Cited: 56
Training Feed-Forward Multi-Layer Perceptron Artificial Neural Networks with a Tree-Seed Algorithm
Ahmet Cevahir Çınar
Arabian Journal for Science and Engineering (2020) Vol. 45, Iss. 12, pp. 10915-10938
Closed Access | Times Cited: 55
Multi-Modal Evolutionary Deep Learning Model for Ovarian Cancer Diagnosis
Rania M. Ghoniem, Abeer D. Algarni, Basel Refky, et al.
Symmetry (2021) Vol. 13, Iss. 4, pp. 643-643
Open Access | Times Cited: 43
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 22
AYOLOv5: Improved YOLOv5 based on attention mechanism for blood cell detection
Wencheng Gu, Kexue Sun
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105034-105034
Closed Access | Times Cited: 19
Challenges to the Early Diagnosis of Breast Cancer: Current Scenario and the Challenges Ahead
Ankita Sinha, M. Nazma B. J. Naskar, Manjusha Pandey, et al.
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 6
Applications of different machine learning approaches in prediction of breast cancer diagnosis delay
Samira Dehdar, Khodakaram Salimifard, Reza Karami Mohammadi, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 14
Hybrid salp swarm and grey wolf optimizer algorithm based ensemble approach for breast cancer diagnosis
Krish Rustagi, Pranav Bhatnagar, Rishabh Mathur, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 70117-70141
Closed Access | Times Cited: 5
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