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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:

Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification
Ting Pang, Jeannie Hsiu Ding Wong, Wei Lin Ng, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 203, pp. 106018-106018
Closed Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Generative Adversarial Networks in Medical Image augmentation: A review
Yizhou Chen, Xu-Hua Yang, Zihan Wei, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105382-105382
Closed Access | Times Cited: 265
Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion
Kiran Jabeen, Muhammad Attique Khan, Majed Alhaisoni, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 807-807
Open Access | Times Cited: 197
Data augmentation for medical imaging: A systematic literature review
Fabio Garcea, Alessio Serra, Fabrizio Lamberti, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106391-106391
Closed Access | Times Cited: 158
An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation
Wu Deng, Hongcheng Ni, Yi Liu, et al.
Applied Soft Computing (2022) Vol. 127, pp. 109419-109419
Closed Access | Times Cited: 129
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach
Debendra Muduli, Ratnakar Dash, Banshidhar Majhi
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 102825-102825
Closed Access | Times Cited: 111
Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 106
A survey on deep learning applied to medical images: from simple artificial neural networks to generative models
Pedro Celard, Eva Iglesias, José Manuel Sorribes-Fdez, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2291-2323
Open Access | Times Cited: 101
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Aghiles Kebaili, Jérôme Lapuyade‐Lahorgue, Su Ruan
Journal of Imaging (2023) Vol. 9, Iss. 4, pp. 81-81
Open Access | Times Cited: 100
Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis
Cong Gao, Benjamin D. Killeen, Yicheng Hu, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 3, pp. 294-308
Open Access | Times Cited: 51
Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
Jiadong Zhang, Jiaojiao Wu, Xiang Sean Zhou, et al.
Seminars in Cancer Biology (2023) Vol. 96, pp. 11-25
Closed Access | Times Cited: 45
A Review Paper about Deep Learning for Medical Image Analysis
Bagher Sistaninejhad, Habib Rasi, parisa nayeri
Computational and Mathematical Methods in Medicine (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 39
Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges
Mahmoud K. Ibrahim, Yasmina Al Khalil, Sina Amirrajab, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109834-109834
Open Access | Times Cited: 2
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala, Kaisar Kushibar, Lidia Garrucho, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102704-102704
Open Access | Times Cited: 41
Predicting Breast Tumor Malignancy Using Deep ConvNeXt Radiomics and Quality-Based Score Pooling in Ultrasound Sequences
Mohamed A. M. Hassanien, Vivek Kumar Singh, Domènec Puig, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1053-1053
Open Access | Times Cited: 37
A Novel Transfer Learning-Based Model for Ultrasound Breast Cancer Image Classification
Saksham Gupta, Satvik Agrawal, Sunil K. Singh, et al.
Advances in intelligent systems and computing (2023), pp. 511-523
Closed Access | Times Cited: 28
Gan-based data augmentation to improve breast ultrasound and mammography mass classification
Yuliana Jiménez-Gaona, Diana Carrión-Figueroa, Vasudevan Lakshminarayanan, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106255-106255
Open Access | Times Cited: 7
Improving Skin Cancer Classification Using Heavy-Tailed Student T-Distribution in Generative Adversarial Networks (TED-GAN)
Bilal Ahmad, Sun Jun, Vasile Palade, et al.
Diagnostics (2021) Vol. 11, Iss. 11, pp. 2147-2147
Open Access | Times Cited: 52
The use of generative adversarial networks in medical image augmentation
Ahmed Makhlouf, Marina Maayah, Nada Abughanam, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 34, pp. 24055-24068
Open Access | Times Cited: 19
Generative adversarial network based synthetic data training model for lightweight convolutional neural networks
Ishfaq Hussain Rather, Sushil Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 6249-6271
Open Access | Times Cited: 16
A comprehensive survey for generative data augmentation
Y. Chen, Zihui Yan, Yunjie Zhu
Neurocomputing (2024) Vol. 600, pp. 128167-128167
Closed Access | Times Cited: 6
BraNet: a mobil application for breast image classification based on deep learning algorithms
Yuliana Jiménez-Gaona, María José Rodríguez Álvarez, Darwin Castillo, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 9, pp. 2737-2756
Open Access | Times Cited: 5
Patch-based feature mapping with generative adversarial networks for auxiliary hip fracture detection
Suk-Jin Chung, Chi‐Tung Cheng, Chien‐Hung Liao, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109627-109627
Closed Access
AnisotropicBreast-ViT: Breast Cancer Classification in Ultrasound Images Using Anisotropic Filtering and Vision Transformer
João Otávio Bandeira Diniz, Neilson P. Ribeiro, Domingos Dias, et al.
Lecture notes in computer science (2025), pp. 95-109
Closed Access
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
Talha Meraj, Wael Alosaimi, Bader Alouffi, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e805-e805
Open Access | Times Cited: 37
Skin Lesion Synthesis and Classification Using an Improved DCGAN Classifier
Kavita Behara, Ernest Bhero, John T. Agee
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2635-2635
Open Access | Times Cited: 15
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