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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 Systematic Review on Screening, Examining and Classification of Breast Cancer
S. R. Sannasi Chakravarthy, Harikumar Rajaguru
2022 Smart Technologies, Communication and Robotics (STCR) (2021), pp. 1-4
Closed Access | Times Cited: 17

Showing 17 citing articles:

Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 15
Deploying Deep Learning in Real-Time for Lung Cancer Diagnosis via Medical Imaging
Jossy P. George, Kamal Upreti, Ramesh Chandra Poonia, et al.
Lecture notes in networks and systems (2025), pp. 401-412
Closed Access
Quantum machine learning: Breaking classical boundaries for cancer identification in next-generation artificial intelligence
Ramendra Singh, Mohammad Suhaib Ahmad, Vijayalakshmi Chintamaneni, et al.
Advances in computers (2025)
Closed Access
Processing of digital mammogram images using optimized ELM with deep transfer learning for breast cancer diagnosis
S. R. Sannasi Chakravarthy, N. Bharanidharan, Harikumar Rajaguru
Multimedia Tools and Applications (2023) Vol. 82, Iss. 30, pp. 47585-47609
Closed Access | Times Cited: 11
Multi-class Breast Cancer Classification Using CNN Features Hybridization
S. R. Sannasi Chakravarthy, N. Bharanidharan, Surbhi Bhatia, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Performance Comparison of Different Machine Learning Techniques for Early Prediction of Breast Cancer using Wisconsin Breast Cancer Dataset
Atajan Rovshenov, Serhat Peker
(2022)
Closed Access | Times Cited: 11
Machine Learning Approaches of Lung Cancer Image Processing for Detecting and Identifying Various Stages of Analysis
A. Harshavardhan
Deleted Journal (2024) Vol. 20, Iss. 2s, pp. 768-776
Open Access | Times Cited: 1
Gaussian Mixture Model based Hybrid Machine Learning for Lung Cancer Classification using Symptoms
Harikumar Rajaguru, S. R. Sannasi Chakravarthy, Sundaresan Chidambaram
2022 Smart Technologies, Communication and Robotics (STCR) (2022), pp. 1-4
Closed Access | Times Cited: 3
Machine Learning based Early-detection of Lung Cancer Using CT Scan for the early Identification and Classification
J. C. Sekhar
Deleted Journal (2024) Vol. 20, Iss. 2s, pp. 828-836
Open Access
A Comprehensive Analysis on the Efficacy of Machine Learning-Based Algorithms for Breast Cancer Classification
K.P.Senthilkumar
Deleted Journal (2024) Vol. 20, Iss. 2s, pp. 857-866
Open Access
Machine Learning-Based Optimization for Identifying Effective Drugs in Breast Cancer on an In Vitro Platform
Mahima Saxena, P v v s Eswara Rao, Amar Choudhary, et al.
(2024), pp. 1756-1760
Closed Access
A Multimodal Deep Learning Approach for Advancing Liver Disease Diagnosis and Prognosis Prediction
Mukesh Kumar, Nitin Arvind Shelke, Jagendra Singh, et al.
(2024), pp. 838-843
Closed Access
Deep Learning Method Based for Breast Cancer Classification
Irmawati Irmawati, Ferda Ernawan, Mohammad Fakhreldin, et al.
(2023), pp. 13-16
Closed Access | Times Cited: 1
Processing of Wisconsin Breast Cancer Data using Ebola Optimization Algorithm with Mixture Kernel SVM
S. R. Sannasi Chakravarthy, Harikumar Rajaguru, Sundaresan Chidambaram
2022 Smart Technologies, Communication and Robotics (STCR) (2022), pp. 1-4
Closed Access | Times Cited: 2
Breast cancer disease prediction using ensemble techniques
Rao T. Chalapathi, Naik Kshiramani
i-manager’s Journal on Image Processing (2023) Vol. 10, Iss. 1, pp. 7-7
Closed Access
Breast Tumor Classification using Transfer Learning with Adaptive Crow Search Optimization
S. R. Sannasi Chakravarthy, Harikumar Rajaguru
(2023), pp. 1-5
Closed Access
Classification of Wisconsin Breast Cancer Data with Extreme Learning Machine and Osprey Optimization Algorithm
Harikumar Rajaguru, S. R. Sannasi Chakravarthy
(2023), pp. 1-4
Closed Access
HKCN: A Novel Breast Cancer Identification Scheme using Homomorphic K-Means Clustering Norms
S. Padmakala, S. Revathy, M. Senthil Vadivu, et al.
(2022), pp. 1-6
Closed Access
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