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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:

Automatic semantic segmentation of breast tumors in ultrasound images based on combining fuzzy logic and deep learning—A feasibility study
Samir M. Badawy, Abd El–Naser A. Mohamed, Alaa A. Hefnawy, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0251899-e0251899
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

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: 202
Ensemble Deep-Learning-Enabled Clinical Decision Support System for Breast Cancer Diagnosis and Classification on Ultrasound Images
Mahmoud Ragab, Ashwag Albukhari, Jaber Alyami, et al.
Biology (2022) Vol. 11, Iss. 3, pp. 439-439
Open Access | Times Cited: 127
A Novel Multistage Transfer Learning for Ultrasound Breast Cancer Image Classification
Gelan Ayana, Jinhyung Park, Jin-Woo Jeong, et al.
Diagnostics (2022) Vol. 12, Iss. 1, pp. 135-135
Open Access | Times Cited: 97
Lightweight EfficientNetB3 Model based on Depthwise Separable Convolutions for Enhancing Classification of Leukemia White Blood Cell Images
Amreen Batool, Yung-Cheol Byun
IEEE Access (2023) Vol. 11, pp. 37203-37215
Open Access | Times Cited: 51
AI in Breast Cancer Imaging: An Update and Future Trends
Yizhou Chen, Xiaoliang Shao, Kuangyu Shi, et al.
Seminars in Nuclear Medicine (2025)
Open Access | Times Cited: 3
BreaST-Net: Multi-Class Classification of Breast Cancer from Histopathological Images Using Ensemble of Swin Transformers
Sudhakar Tummala, Jungeun Kim, Seifedine Kadry
Mathematics (2022) Vol. 10, Iss. 21, pp. 4109-4109
Open Access | Times Cited: 52
A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images
Sathiyabhama Balasubramaniam, Yuvarajan Velmurugan, Dhayanithi Jaganathan, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2746-2746
Open Access | Times Cited: 36
Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review
Odai Y. Dweekat, Sarah S. Lam, Lindsay McGrath
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 1, pp. 796-796
Open Access | Times Cited: 31
Taxonomy of hybrid architectures involving rule-based reasoning and machine learning in clinical decision systems: A scoping review
Slawomir Kierner, J. Kucharski, Zofia Kierner
Journal of Biomedical Informatics (2023) Vol. 144, pp. 104428-104428
Open Access | Times Cited: 22
Recent Advances in Machine Learning Applied to Ultrasound Imaging
Monica Micucci, Antonio Iula
Electronics (2022) Vol. 11, Iss. 11, pp. 1800-1800
Open Access | Times Cited: 24
Breast Cancer Detection Using Breastnet-18 Augmentation with Fine Tuned Vgg-16
S. J. K. Jagadeesh Kumar, Pavithra Parthasarathi, Mofreh A. Hogo, et al.
Intelligent Automation & Soft Computing (2023) Vol. 36, Iss. 2, pp. 2363-2378
Open Access | Times Cited: 13
A Novel CNN pooling layer for breast cancer segmentation and classification from thermograms
Esraa Mohamed, Tarek Gaber, Omar H. Karam, et al.
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0276523-e0276523
Open Access | Times Cited: 20
Transition of traditional method to deep learning based computer-aided system for breast cancer using Automated Breast Ultrasound System (ABUS) images: a review
D. Mohamad, Syamsiah Mashohor, Rozi Mahmud, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 15271-15300
Closed Access | Times Cited: 11
ConvMixer-based encoder and classification-based decoder architecture for breast lesion segmentation in ultrasound images
Hüseyin Üzen
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105707-105707
Closed Access | Times Cited: 11
IDC-Net: Breast cancer classification network based on BI-RADS 4
Sanli Yi, Ziyan Chen, Furong She, et al.
Pattern Recognition (2024) Vol. 150, pp. 110323-110323
Closed Access | Times Cited: 4
Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities
Tat-Bao-Thien Nguyen, T. Hung, Pham Tien Nam, et al.
Alexandria Engineering Journal (2025) Vol. 119, pp. 558-586
Open Access
Integrating Fuzzy Logic Systems with Deep Learning Applications Using SPSS

(2025) Vol. 4, Iss. 1 March 2025, pp. 1-13
Closed Access
A dual-stage transformer and MLP-based network for breast ultrasound image segmentation
Guidi Lin, Mingzhi Chen, Minsheng Tan, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 4, pp. 656-671
Closed Access | Times Cited: 10
Automatic breast mass segmentation in ultrasound images with U-Net and resolution enhancement blocks
Ali Ahmad Rahmani, Ali Asghar Beheshti Shirazi, Hamid Behnam
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106270-106270
Closed Access | Times Cited: 3
Toward Intraoperative Margin Assessment Using a Deep Learning-Based Approach for Automatic Tumor Segmentation in Breast Lumpectomy Ultrasound Images
Dinusha Veluponnar, Lisanne L. de Boer, Freija Geldof, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1652-1652
Open Access | Times Cited: 9
State-of-the-Art of Breast Cancer Diagnosis in Medical Images via Convolutional Neural Networks (CNNs)
Pratibha Harrison, Rakib Hasan, Kihan Park
Journal of Healthcare Informatics Research (2023) Vol. 7, Iss. 4, pp. 387-432
Closed Access | Times Cited: 8
Semantic Segmentation of the Malignant Breast Imaging Reporting and Data System Lexicon on Breast Ultrasound Images by Using DeepLab v3+
Wei-Chung Shia, Fang-Rong Hsu, Seng-Tong Dai, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5352-5352
Open Access | Times Cited: 13
A Study of Neutrosophic Sets and Deep Learning Models for Breast Cancer Classification
Walid Abdullah
Deleted Journal (2024) Vol. 3, pp. 50-59
Open Access | Times Cited: 2
Urban flash flood prediction modelling using probabilistic and statistical approaches
Piu Saha, Rajib Mitra, Jayanta Das, et al.
Results in Earth Sciences (2024) Vol. 2, pp. 100032-100032
Open Access | Times Cited: 2
A comparative study of breast tumour detection using a semantic segmentation network coupled with different pretrained CNNs
G. Divya Deepak, Subraya Krishna Bhat
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 2
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