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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:

Assessment of the invariance and discriminant power of morphological features under geometric transformations for breast tumor classification
Wilfrido Gómez‐Flores, Juanita Hernández-López
Computer Methods and Programs in Biomedicine (2019) Vol. 185, pp. 105173-105173
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

An Optimized Framework for Breast Cancer Classification Using Machine Learning
Epimack Michael, He Ma, Hong Li, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 58
Interactive content-based image retrieval with deep learning for CT abdominal organ recognition
Chung‐Ming Lo, Chi-Cheng Wang, Peng‐Hsiang Hung
Physics in Medicine and Biology (2024) Vol. 69, Iss. 4, pp. 045004-045004
Open Access | Times Cited: 6
Achieving highly efficient breast ultrasound tumor classification with deep convolutional neural networks
Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, et al.
International Journal of Information Technology (2022) Vol. 14, Iss. 7, pp. 3311-3320
Closed Access | Times Cited: 19
BUS‐BRA: A breast ultrasound dataset for assessing computer‐aided diagnosis systems
Wilfrido Gómez‐Flores, Maria Julia Gregorio‐Calas, Wagner Coelho de Albuquerque Pereira
Medical Physics (2023) Vol. 51, Iss. 4, pp. 3110-3123
Closed Access | Times Cited: 10
Muscle fatigue analysis in isometric contractions using geometric features of surface electromyography signals
S. Edward Jero, Divya Bharathi K., Alagar Karthick, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102603-102603
Closed Access | Times Cited: 18
Novel Ultrasonic Image Reconstruction and Deep Learning Model-Based Categorization for Accurate Liver Disease Diagnosis
G S Nijaguna, Sneha Sureddy, BinduMadhavi, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 7
Analysis of Muscle Fatigue Progression Using Geometric Features of Surface Electromyography Signals and Explainable XGBoost Classifier
N. Punitha, K. Divya Bharathi, S. R. Manuskandan, et al.
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 2, pp. 191-197
Closed Access | Times Cited: 2
Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method
Michał Byra, Grzegorz Styczyński, Cezary Szmigielski, et al.
2017 IEEE International Ultrasonics Symposium (IUS) (2020), pp. 1-4
Open Access | Times Cited: 16
Assessing Ischemic Stroke with Convolutional Image Features in Carotid Color Doppler
Chung‐Ming Lo, Peng‐Hsiang Hung
Ultrasound in Medicine & Biology (2021) Vol. 47, Iss. 8, pp. 2266-2276
Closed Access | Times Cited: 14
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
Comparative Analysis of Machine Learning Algorithms for Breast Cancer Classification: SVM Outperforms XGBoost, CNN, RNN, and Others
Prithwish Ghosh, Debashis Chatterjee
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Texture Analysis of Breast US Images Using Morphological Transforms, Hausdorff Dimension and Bagging Ensemble Method
Gigi Tăbăcaru, Simona Moldovanu, Marian Barbu
(2024), pp. 263-267
Closed Access | Times Cited: 1
Shift invariant extrema based feature analysis scheme to discriminate the spiculation nature of mammograms
Poulomi Das, Arpita Das
ISA Transactions (2020) Vol. 103, pp. 156-165
Closed Access | Times Cited: 8
Hybrid descriptor definition for content based image classification using fusion of handcrafted features to convolutional neural network features
Rik Das, Khushbu Kumari, Sourav De, et al.
International Journal of Information Technology (2021) Vol. 13, Iss. 4, pp. 1365-1374
Closed Access | Times Cited: 7
Development of Affine Transformation Method in the Reconstruction of Songket Motif
Agung Ramadhanu, Jufriadif Na’am, Gunadi Widi Nurcahyo, et al.
International Journal on Advanced Science Engineering and Information Technology (2022) Vol. 12, Iss. 2, pp. 600-600
Open Access | Times Cited: 4
Deep meta-learning for the selection of accurate ultrasound based breast mass classifier
Michał Byra, Piotr Karwat, Ivan Ryzhankow, et al.
2017 IEEE International Ultrasonics Symposium (IUS) (2022), pp. 1-4
Closed Access | Times Cited: 4
Thyroid Nodule Diagnosis in Dynamic Contrast-Enhanced Ultrasound via Microvessel Infiltration Awareness
Haojie Han, Hongen Liao, Daoqiang Zhang, et al.
Lecture notes in computer science (2023), pp. 169-179
Closed Access | Times Cited: 2
Automatic for Generating Landmark Mandibular Panoramic Radiography Image

International journal of intelligent engineering and systems (2023) Vol. 17, Iss. 1, pp. 584-595
Open Access | Times Cited: 2
ALGORITMOS DE APRENDIZAJE AUTOMÁTICO PARA IDENTIFICAR VARI
Daniel Ayala-Niño, Juan Manuel González‐Camacho
Revista Fitotecnia Mexicana (2024) Vol. 47, Iss. 1, pp. 62-62
Open Access
Do as Sonographers Think: Contrast-enhanced Ultrasound for Thyroid Nodules Diagnosis via Microvascular Infiltrative Awareness
Fang Chen, Haojie Han, Peng Wan, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 11, pp. 3881-3894
Closed Access
Optimization of Breast Cancer Classification with Octave Bands Analysis
Iulia-Nela Anghelache Nastase, Simona Moldovanu, Luminița Moraru
2022 26th International Conference on System Theory, Control and Computing (ICSTCC) (2024), pp. 408-413
Closed Access
Similarity Based Characterization and Identification of Breast Ultrasound Lesions in Space-Frequency Subband
Poulomi Das, Arpita Das
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2024), pp. 414-417
Closed Access
Analysis of Breast Cancer Prediction Using Machine Learning Techniques: Review Paper
Rashika Pandita, Deo Prakash
Lecture notes in electrical engineering (2023), pp. 311-322
Closed Access | Times Cited: 1
A Machine Learning-Based Traditional and Ensemble Technique for Predicting Breast Cancer
Aunik Hasan Mridul, Md. Jahidul Islam, Asifuzzaman Asif, et al.
Lecture notes in networks and systems (2023), pp. 237-248
Closed Access | Times Cited: 1
A Stacked Ensemble-Based model for the prediction of breast cancer using Decision Tree and XGBoost
Korivi Baby Naina Tara, Nikhitha Vadlamudi, G. Kranthi Kumar
(2023), pp. 1-7
Closed Access | Times Cited: 1
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