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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:

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network
Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romaní, et al.
Expert Systems with Applications (2019) Vol. 139, pp. 112855-112855
Open Access | Times Cited: 220

Showing 26-50 of 220 citing articles:

A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis
M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, et al.
Cancers (2021) Vol. 13, Iss. 23, pp. 6116-6116
Open Access | Times Cited: 58
Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection
Anandbabu Gopatoti, P. Vijayalakshmi
Journal of X-Ray Science and Technology (2022) Vol. 30, Iss. 3, pp. 491-512
Open Access | Times Cited: 58
MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network
Ramin Ranjbarzadeh, N. Sarshar, Saeid Jafarzadeh Ghoushchi, et al.
Annals of Operations Research (2022) Vol. 328, Iss. 1, pp. 1021-1042
Closed Access | Times Cited: 53
Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey
Ahmed Iqbal, Muhammad Sharif, Mussarat Yasmin, et al.
International Journal of Multimedia Information Retrieval (2022) Vol. 11, Iss. 3, pp. 333-368
Open Access | Times Cited: 49
Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques
Asma Baccouche, Begonya García-Zapirain, Yufeng Zheng, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106884-106884
Closed Access | Times Cited: 40
PDF-UNet: A semi-supervised method for segmentation of breast tumor images using a U-shaped pyramid-dilated network
Ahmed Iqbal, Muhammad Sharif
Expert Systems with Applications (2023) Vol. 221, pp. 119718-119718
Closed Access | Times Cited: 37
Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Physica Medica (2023) Vol. 114, pp. 103138-103138
Open Access | Times Cited: 32
Breast cancer classification using deep learned features boosted with handcrafted features
Unaiza Sajid, Rizwan Ahmed Khan, Shahid Munir Shah, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105353-105353
Open Access | Times Cited: 30
Recent Advancements and Future Prospects in Active Deep Learning for Medical Image Segmentation and Classification
Tariq Mahmood, Amjad Rehman, Tanzila Saba, et al.
IEEE Access (2023) Vol. 11, pp. 113623-113652
Open Access | Times Cited: 27
B2C3NetF2: Breast cancer classification using an end‐to‐end deep learning feature fusion and satin bowerbird optimization controlled Newton Raphson feature selection
Mamuna Fatima, Muhammad Attique Khan, Saima Shaheen, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 4, pp. 1374-1390
Open Access | Times Cited: 22
Research on Artificial-Intelligence-Assisted Medicine: A Survey on Medical Artificial Intelligence
Fangfang Gou, Jun Liu, Chunwen Xiao, et al.
Diagnostics (2024) Vol. 14, Iss. 14, pp. 1472-1472
Open Access | Times Cited: 14
Generative adversarial networks: a survey on applications and challenges
M. R. Pavan Kumar, Prabhu Jayagopal
International Journal of Multimedia Information Retrieval (2020) Vol. 10, Iss. 1, pp. 1-24
Closed Access | Times Cited: 64
Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review
Subrato Bharati, Prajoy Podder, M. Rubaiyat Hossain Mondal
arXiv (Cornell University) (2020)
Open Access | Times Cited: 63
Medical Image Segmentation Using Deep Learning: A Survey.
Tao Lei, Risheng Wang, Yong Wan, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 63
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework
Vivek Kumar Singh, Mohamed Abdel‐Nasser, Farhan Akram, et al.
Expert Systems with Applications (2020) Vol. 162, pp. 113870-113870
Open Access | Times Cited: 60
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention
Vivek Kumar Singh, Mohamed Abdel‐Nasser, Hatem A. Rashwan, et al.
IEEE Access (2019) Vol. 7, pp. 130552-130565
Open Access | Times Cited: 59
An Automated In-Depth Feature Learning Algorithm for Breast Abnormality Prognosis and Robust Characterization from Mammography Images Using Deep Transfer Learning
Tariq Mahmood, Jianqiang Li, Yan Pei, et al.
Biology (2021) Vol. 10, Iss. 9, pp. 859-859
Open Access | Times Cited: 54
Breast Lesions Detection and Classification via YOLO-Based Fusion Models
Asma Baccouche, Begonya García-Zapirain, Cristián Castillo-Olea, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 1, pp. 1407-1425
Open Access | Times Cited: 46
MDA-Net: Multiscale dual attention-based network for breast lesion segmentation using ultrasound images
Ahmed Iqbal, Muhammad Sharif
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 9, pp. 7283-7299
Open Access | Times Cited: 42
Shape-Based Breast Lesion Classification Using Digital Tomosynthesis Images: The Role of Explainable Artificial Intelligence
Sardar Mehboob Hussain, Domenico Buongiorno, Nicola Altini, et al.
Applied Sciences (2022) Vol. 12, Iss. 12, pp. 6230-6230
Open Access | Times Cited: 30
An integrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks
Asma Baccouche, Begonya García-Zapirain, Adel Elmaghraby
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 30
Denoising and segmentation in medical image analysis: A comprehensive review on machine learning and deep learning approaches
Ravi Kumar, Rahul Priyadarshi
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6
Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis
Qianqian Chen, Jiadong Zhang, Runqi Meng, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 5, pp. 1958-1971
Closed Access | Times Cited: 5
BCT-Net: semantic-guided breast cancer segmentation on BUS
Junchang Xin, Yaqi Yu, Qi Shen, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
Deep Learning Based Segmentation Methods Applied to DDSM Images: A Review
Jyoti Rani, Jaswinder Singh, Jitendra Virmani
Archives of Computational Methods in Engineering (2025)
Closed Access

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