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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:

Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression
Vinod J. Kadam, Shivajirao M. Jadhav, K. Vijayakumar
Journal of Medical Systems (2019) Vol. 43, Iss. 8
Closed Access | Times Cited: 132

Showing 1-25 of 132 citing articles:

A comprehensive review on ensemble deep learning: Opportunities and challenges
Ammar Mohammed, Rania Kora
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 2, pp. 757-774
Open Access | Times Cited: 439
A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis
Yogesh Kumar, Surbhi Gupta, Ruchi Singla, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 4, pp. 2043-2070
Open Access | Times Cited: 152
BreastHybridNet: A Hybrid Deep Learning Framework for Breast Cancer Diagnosis Using Mammogram Images
Bandla Raghuramaiah, Suresh Chittineni
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 3
RETRACTED ARTICLE: Stock market analysis using candlestick regression and market trend prediction (CKRM)
M. Ananthi, K. Vijayakumar
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 5, pp. 4819-4826
Closed Access | Times Cited: 77
An efficient image encryption using deep neural network and chaotic map
Shima Ramesh Maniyath, V. Thanikaiselvan
Microprocessors and Microsystems (2020) Vol. 77, pp. 103134-103134
Closed Access | Times Cited: 76
RETRACTED: Breast cancer diagnosis using multiple activation deep neural network
K. Vijayakumar, Vinod J. Kadam, Sudhir Kumar Sharma
Concurrent Engineering (2021) Vol. 29, Iss. 3, pp. 275-284
Closed Access | Times Cited: 60
A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis
M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, et al.
Cancers (2021) Vol. 13, Iss. 23, pp. 6116-6116
Open Access | Times Cited: 58
A performance analysis of dimensionality reduction algorithms in machine learning models for cancer prediction
Md Faisal Kabir, Tianjie Chen, Simone A. Ludwig
Healthcare Analytics (2022) Vol. 3, pp. 100125-100125
Open Access | Times Cited: 53
Computer-aided diagnosis for breast cancer detection and classification using optimal region growing segmentation with MobileNet model
J. Dafni Rose, K. Vijayakumar, Laxman Singh, et al.
Concurrent Engineering (2022) Vol. 30, Iss. 2, pp. 181-189
Closed Access | Times Cited: 45
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: 45
Breast cancer prediction based on neural networks and extra tree classifier using feature ensemble learning
Deepti Sharma, Rajneesh Kumar, Anurag Jain
Measurement Sensors (2022) Vol. 24, pp. 100560-100560
Open Access | Times Cited: 39
A novel enhanced hybrid clinical decision support system for accurate breast cancer prediction
Law Kumar Singh, Munish Khanna, Rekha Singh
Measurement (2023) Vol. 221, pp. 113525-113525
Closed Access | Times Cited: 24
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: 13
MENet: A Mitscherlich function based ensemble of CNN models to classify lung cancer using CT scans
Surya Majumder, Nandita Gautam, Abhishek Basu, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0298527-e0298527
Open Access | Times Cited: 10
Applications of Machine Learning Techniques to Predict Diagnostic Breast Cancer
Vikas Chaurasia, Saurabh Pal
SN Computer Science (2020) Vol. 1, Iss. 5
Open Access | Times Cited: 66
An Investigation Into Fault Diagnosis of Planetary Gearboxes Using A Bispectrum Convolutional Neural Network
Xinyu Pang, Xuanyi Xue, Wangwang Jiang, et al.
IEEE/ASME Transactions on Mechatronics (2020) Vol. 26, Iss. 4, pp. 2027-2037
Closed Access | Times Cited: 57
Cycle life test optimization for different Li-ion power battery formulations using a hybrid remaining-useful-life prediction method
Jian Ma, Shu Xu, Pengchao Shang, et al.
Applied Energy (2020) Vol. 262, pp. 114490-114490
Closed Access | Times Cited: 50
ETECADx: Ensemble Self-Attention Transformer Encoder for Breast Cancer Diagnosis Using Full-Field Digital X-ray Breast Images
Aymen M. Al-Hejri, Riyadh M. Al-Tam, Muneer Fazea, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 89-89
Open Access | Times Cited: 30
Breast cancer prediction from microRNA profiling using random subspace ensemble of LDA classifiers via Bayesian optimization
Sudhir Kumar Sharma, K. Vijayakumar, Vinod J. Kadam, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 29, pp. 41785-41805
Closed Access | Times Cited: 27
RETRACTED ARTICLE: Hybrid Grey Wolf: Bald Eagle search optimized support vector regression for traffic flow forecasting
S A Angayarkanni, R. Sivakumar, Y. V. Ramana Rao
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 1, pp. 1293-1304
Closed Access | Times Cited: 42
Thermal infrared imaging based breast cancer diagnosis using machine learning techniques
Samir S. Yadav, Shivajirao M. Jadhav
Multimedia Tools and Applications (2020) Vol. 81, Iss. 10, pp. 13139-13157
Closed Access | Times Cited: 40
Intelligent Breast Cancer Prediction Empowered with Fusion and Deep Learning
Shahan Yamin Siddiqui, Iftikhar Naseer, Muhammad Adnan Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 67, Iss. 1, pp. 1033-1049
Open Access | Times Cited: 39
Review of Feature Selection, Dimensionality Reduction and Classification for Chronic Disease Diagnosis
Afnan M. Alhassan, Wan Mohd Nazmee Wan Zainon
IEEE Access (2021) Vol. 9, pp. 87310-87317
Open Access | Times Cited: 36
SAFNet: A deep spatial attention network with classifier fusion for breast cancer detection
Siyuan Lu, Shuihua Wang‎, Yudong Zhang
Computers in Biology and Medicine (2022) Vol. 148, pp. 105812-105812
Open Access | Times Cited: 24
Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms
Jesus A. Basurto-Hurtado, Irving A. Cruz‐Albarran, Manuel Toledano‐Ayala, et al.
Cancers (2022) Vol. 14, Iss. 14, pp. 3442-3442
Open Access | Times Cited: 23
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