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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 hybrid deep learning model for breast cancer diagnosis based on transfer learning and pulse-coupled neural networks
Meteb Altaf
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 5, pp. 5029-5046
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Recent Advances in Pulse-Coupled Neural Networks with Applications in Image Processing
Haoran Liu, Mingzhe Liu, Dongfen Li, et al.
Electronics (2022) Vol. 11, Iss. 20, pp. 3264-3264
Open Access | Times Cited: 93
Artificial intelligence for breast cancer analysis: Trends & directions
Shahid Munir Shah, Rizwan Ahmed Khan, Sheeraz Arif, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105221-105221
Open Access | Times Cited: 77
From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Current Research in Biotechnology (2023) Vol. 7, pp. 100164-100164
Open Access | Times Cited: 55
Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet
Suresh Samudrala, C. Krishna Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 46037-46063
Closed Access | Times Cited: 54
A Hybrid Algorithm of ML and XAI to Prevent Breast Cancer: A Strategy to Support Decision Making
Fabián Silva-Aravena, Hugo Núñez Delafuente, Jimmy H. Gutiérrez‐Bahamondes, et al.
Cancers (2023) Vol. 15, Iss. 9, pp. 2443-2443
Open Access | Times Cited: 23
Automated Deep Learning Empowered Breast Cancer Diagnosis Using Biomedical Mammogram Images
José Escorcia‐Gutierrez, Romany F. Mansour, Kelvin Bele駉, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 71, Iss. 3, pp. 4221-4235
Open Access | Times Cited: 31
Self-attention random forest for breast cancer image classification
Jia Li, Jingwen Shi, Jianrong Chen, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 16
A CNN-SVM based computer aided diagnosis of breast Cancer using histogram K-means segmentation technique
Yatendra Sahu, Abhishek Tripathi, Rajeev Kumar Gupta, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 9, pp. 14055-14075
Closed Access | Times Cited: 25
Histopathological Image Diagnosis for Breast Cancer Diagnosis Based on Deep Mutual Learning
Amandeep Kaur, Chetna Kaushal, Jasjeet Kaur Sandhu, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 95-95
Open Access | Times Cited: 14
Deep transfer learning based hierarchical CAD system designs for SFM images
Jyoti Rani, Jaswinder Singh, Jitendra Virmani
Journal of Medical Engineering & Technology (2025), pp. 1-18
Closed Access
Deep ensemble transfer learning-based framework for mammographic image classification
Parita Oza, Paawan Sharma, Samir Patel
The Journal of Supercomputing (2022) Vol. 79, Iss. 7, pp. 8048-8069
Closed Access | Times Cited: 21
Breast Cancer Classification from Mammogram Images Using Extreme Learning Machine-Based DenseNet121 Model
Raj Kumar Pattanaik, Satyasis Mishra, Mohammed Siddique, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 20
TrEnD: A transformer‐based encoder‐decoder model with adaptive patch embedding for mass segmentation in mammograms
Dongdong Liu, Bo Wu, Changbo Li, et al.
Medical Physics (2023) Vol. 50, Iss. 5, pp. 2884-2899
Closed Access | Times Cited: 8
Breast lesion classification from mammograms using deep neural network and test-time augmentation
Parita Oza, Paawan Sharma, Samir Patel
Neural Computing and Applications (2023) Vol. 36, Iss. 4, pp. 2101-2117
Closed Access | Times Cited: 8
Random-Coupled Neural Network
Haoran Liu, Mingrong Xiang, Mingzhe Liu, et al.
Electronics (2024) Vol. 13, Iss. 21, pp. 4297-4297
Open Access | Times Cited: 2
Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review
Elinor Laws, Joanne Palmer, Joseph Alderman, et al.
Clinical Imaging (2024) Vol. 118, pp. 110369-110369
Open Access | Times Cited: 2
Detection and Prediction of Breast Cancer Using Improved Faster Regional Convolutional Neural Network Based on Multilayer Perceptron’s Network
Poonam Rana, P. K. Gupta, Vijay K. Sharma
Optical Memory and Neural Networks (2023) Vol. 32, Iss. 2, pp. 86-100
Closed Access | Times Cited: 3
Artificial Intelligence For Breast Cancer Detection: Trends & Directions.
Shahid Munir Shah, Rizwan Ahmed Khan, Sheeraz Arif, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 5
Lung Tumor Classification using Hybrid Deep Learning and Segmentation by Fuzzy C Means
T S Chandrakantha, Basavaraj N Jagadale, Omar Abdullah Murshed Farhan Alnaggar
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 1, pp. 70-79
Open Access
A Systematic Literature Review on Mammography: Deep Learning in Redefining Breast Cancer Diagnosis for the Asian Perspective
Ashwini Amin, U. Dinesh Acharya, P. C. Siddalingaswamy, et al.
Research Square (Research Square) (2024)
Open Access
Transfer learning in breast mass detection and classification
Marya Ryspayeva, Alessandro Bria, Claudio Marrocco, et al.
Journal of Ambient Intelligence and Humanized Computing (2024) Vol. 15, Iss. 10, pp. 3587-3602
Closed Access
Improving Alzheimer’s disease classification using novel rewards in deep reinforcement learning
Mahla Hatami, Farzin Yaghmaee, Reza Ebrahimpour
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106920-106920
Closed Access
Convolution neural network based multi-class classification of rehabilitation exercises for diastasis recti abdominis using wearable EMG-IMU sensors
R. Menaka, Vinitha Joshy Premkumar, Viswanathan Balasubramanian Prahaladhan, et al.
Engineering Computations (2024) Vol. 41, Iss. 10, pp. 2381-2403
Closed Access
Contrast-Enhanced Ultrasound and Magnetic Resonance Enhancement Based on Machine Learning in Cancer Diagnosis in the Context of the Internet of Things Medical System
Guo Zhou, Yongliang Zhang, Yijuan You, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 1
A survey of approaches in Deep Learning techniques for the detection and classification of mammography abnormalities
Cecilia Gabriela Rodriguez Flores, Jesús Carlos Pedraza‐Ortega, M.C. Luis Antonio Salazar-Licea, et al.
2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) (2022), pp. 1-6
Closed Access | Times Cited: 1
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