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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:

Few-shot classification of ultrasound breast cancer images using meta-learning algorithms
Gültekin Işık, İshak Paçal
Neural Computing and Applications (2024) Vol. 36, Iss. 20, pp. 12047-12059
Open Access | Times Cited: 12

Showing 12 citing articles:

A robust deep learning framework for multiclass skin cancer classification
Burhanettin Özdemir, İshak Paçal
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A systematic review of few-shot learning in medical imaging
Eva Pachetti, Sara Colantonio
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102949-102949
Open Access | Times Cited: 7
Efficient and robust de-speckling filter for ultrasound images based on an attentional auto-encoder
Anas Fouad Ahmed
Signal Image and Video Processing (2025) Vol. 19, Iss. 1
Closed Access
The Effect of Class Distribution on Multi-Modal Medical Images Classification in Meta-Learning
Zainab Almugbel
Lecture notes in computer science (2025), pp. 102-111
Closed Access
Quantum computational infusion in extreme learning machines for early multi-cancer detection
Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
A Combined Segmentation and Classification Pipeline for Breast Tumors Analysis on Ultrasound Image
Cong Thanh Nguyen, Huynh Quang Linh
Journal of Physics Conference Series (2025) Vol. 2949, Iss. 1, pp. 012003-012003
Open Access
Improving breast cancer classification in fine-grain ultrasound images through feature discrimination and a transfer learning approach
Fatemeh Taheri, Kambiz Rahbar
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107690-107690
Closed Access
Application of machine learning in breast cancer survival prediction using a multimethod approach
Seyed Hassan Hamedi, Hassan Emami, Maryam Khayamzadeh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Quantum classical hybrid convolutional neural networks for breast cancer diagnosis
Qiuyu Xiang, Dongfen Li, Zhikang Hu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Enhancing Breast Cancer Classification: A Few-Shot Meta-Learning Framework with DenseNet-121 for Improved Diagnosis
Nidhi Upadhyay, Anuja Bhargava, Upasana Singh, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Prediction of lymphovascular invasion in invasive breast cancer based on clinical-MRI radiomics features
Chunling Zhang, Peng Zhou, Ruobing Li, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
One Model Multiple Insights: CNNs for Medical Image Classification
AKM Shahariar Azad Rabby, Pratim Saha, Sheikh Abujar, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 3935-3941
Closed Access
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