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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:

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

Showing 19 citing articles:

Classification for thyroid nodule using ViT with contrastive learning in ultrasound images
Jiawei Sun, Bobo Wu, Tong Zhao, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106444-106444
Closed Access | Times Cited: 29
Breast cancer detection and classification using metaheuristic optimized ensemble extreme learning machine
Raj Kumar Pattnaik, Mohammad Siddique, Satyasis Mishra, et al.
International Journal of Information Technology (2023) Vol. 15, Iss. 8, pp. 4551-4563
Closed Access | Times Cited: 16
A collaborative empirical analysis on machine learning based disease prediction in health care system
Ayushi Das, Deepjyoti Choudhury, Arpita Sen
International Journal of Information Technology (2023) Vol. 16, Iss. 1, pp. 261-270
Closed Access | Times Cited: 16
Category-aware feature attribution for Self-Optimizing medical image classification
Jie Lei, Guoyu Yang, Shuaiwei Wang, et al.
Displays (2023) Vol. 77, pp. 102397-102397
Closed Access | Times Cited: 7
Hierarchical autoencoder-based multi-omics subtyping and prognosis prediction framework for lung adenocarcinoma
Aadil Rashid Bhat, Rana Hashmy
International Journal of Information Technology (2023) Vol. 15, Iss. 5, pp. 2541-2549
Closed Access | Times Cited: 6
Analyzing Generative Models for Realistic Data Augmentation across Modalities and Applications
Sanskruti Patel, Unnati Patel, Jay Nanavati, et al.
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 1601-1606
Closed Access | Times Cited: 1
An EfficientNet integrated ResNet deep network and explainable AI for breast lesion classification from ultrasound images
Kiran Jabeen, Muhammad Attique Khan, Ameer Hamza, et al.
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 1
DECNet: Left Atrial Pulmonary Vein Class Imbalance Classification Network
Guodong Zhang, WenWen Gu, TingYu Liang, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 1
Enhancing Diagnostic Precision in Breast Cancer Classification Through EfficientNetB7 Using Advanced Image Augmentation and Interpretation Techniques
T R Mahesh, Surbhi Bhatia, Kritika Kumari Mishra, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 35, Iss. 1
Closed Access | Times Cited: 1
Rapid Segmentation and Diagnosis of Breast Tumor Ultrasound Images at the Sonographer Level Using Deep Learning
Lei Yang, Baichuan Zhang, Fei Ren, et al.
Bioengineering (2023) Vol. 10, Iss. 10, pp. 1220-1220
Open Access | Times Cited: 3
Recent advancements of deep learning in detecting breast cancer: a survey
Anjali Gautam
Multimedia Systems (2022) Vol. 29, Iss. 3, pp. 917-943
Closed Access | Times Cited: 4
Deep Learning-Enhanced Ultrasound Analysis: Classifying Breast Tumors using Segmentation and Feature Extraction
Ali Hamza, Martin Mézl
Research Square (Research Square) (2024)
Open Access
Noise cancellation of polycystic ovarian syndrome ultrasound images using robust two-dimensional fractional fourier transform filter and VGG-16 model
Manika Jha, Richa Gupta, Rajiv Saxena
International Journal of Information Technology (2024) Vol. 16, Iss. 4, pp. 2497-2504
Closed Access
ACNGCNN: Improving Efficiency of Breast Cancer Detection and Progression using Adversarial Capsule Network with Graph Convolutional Neural Networks
Srinivasa Rao Pallapu, Khasim Syed
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access
Ultrasound Breast Image Classification Through Domain Knowledge Integration Into Deep Neural Networks
Ebrahim A. Nehary, Sreeraman Rajan
IEEE Access (2024) Vol. 12, pp. 112966-112983
Open Access
Integrating multi-modal insights with transfer learning for detecting metastatic breast cancer (MBC-stage IV) prognostics
S. Kaur, Manpreet Kaur, Ashish Khanna
International Journal of Information Technology (2024)
Closed Access
GeneXAI: Influential Gene Identification For Breast Cancer Stages Using XAI-Based Multi-Modal Framework
S. L. Mann, Sujoy Mistry, Debashis De
Medicine in Novel Technology and Devices (2024), pp. 100349-100349
Open Access
Saliency-driven ‘decision referee’ for fine-grained classifier
Razia de Loyola Furtado e Sardinha
International Journal of Information Technology (2023) Vol. 15, Iss. 4, pp. 2099-2106
Closed Access | Times Cited: 1
Enhancing Medical Diagnosis with AI: A Focus on Respiratory Disease Detection
Sachin Sharma, Siddhant Pandey, Dharmesh Shah
Indian Journal of Community Medicine (2023) Vol. 48, Iss. 5, pp. 709-714
Open Access | Times Cited: 1
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