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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:

A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images
Xiaolei Qu, Hongyan Lu, Wenzhong Tang, et al.
Medical Physics (2022) Vol. 49, Iss. 9, pp. 5787-5798
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A novel image-to-knowledge inference approach for automatically diagnosing tumors
Qinghua Huang, Dan Wang, Zhenkun Lu, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120450-120450
Closed Access | Times Cited: 47
Breast cancer diagnosis: A systematic review
Xin Wen, Xing Guo, Shuihua Wang‎, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 119-148
Open Access | Times Cited: 17
A Hybrid Workflow of Residual Convolutional Transformer Encoder for Breast Cancer Classification Using Digital X-ray Mammograms
Riyadh M. Al-Tam, Aymen M. Al-Hejri, Sachin M. Narangale, et al.
Biomedicines (2022) Vol. 10, Iss. 11, pp. 2971-2971
Open Access | Times Cited: 44
Multi-task interaction learning for accurate segmentation and classification of breast tumors in ultrasound images
Shenhai Zheng, Jianfei Li, Lihong Qiao, et al.
Physics in Medicine and Biology (2025) Vol. 70, Iss. 6, pp. 065006-065006
Closed Access | Times Cited: 1
ETECADx: Ensemble Self-Attention Transformer Encoder for Breast Cancer Diagnosis Using Full-Field Digital X-ray Breast Images
Aymen M. Al-Hejri, Riyadh M. Al-Tam, Muneer Fazea, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 89-89
Open Access | Times Cited: 33
Joint Segmentation and Differential Diagnosis of Thyroid Nodule in Contrast-Enhanced Ultrasound Images
Fang Chen, Haojie Han, Peng Wan, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 70, Iss. 9, pp. 2722-2732
Closed Access | Times Cited: 17
Multi-view stereoscopic attention network for 3D tumor classification in automated breast ultrasound
Wanli Ding, Heye Zhang, Shuxin Zhuang, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 120969-120969
Closed Access | Times Cited: 15
Multimodal breast cancer hybrid explainable computer-aided diagnosis using medical mammograms and ultrasound Images
Riyadh M. Al-Tam, Aymen M. Al-Hejri, Sultan S. Alshamrani, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 731-758
Closed Access | Times Cited: 6
Deep learning and genetic algorithm-based ensemble model for feature selection and classification of breast ultrasound images
Mohsin Furkh Dar, Avatharam Ganivada
Image and Vision Computing (2024) Vol. 146, pp. 105018-105018
Closed Access | Times Cited: 5
BUS‐BRA: A breast ultrasound dataset for assessing computer‐aided diagnosis systems
Wilfrido Gómez‐Flores, Maria Julia Gregorio‐Calas, Wagner Coelho de Albuquerque Pereira
Medical Physics (2023) Vol. 51, Iss. 4, pp. 3110-3123
Closed Access | Times Cited: 13
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: 12
Development and Validation of an AI-Based Multimodal Model for Pathological Staging of Gastric Cancer Using CT and Endoscopic Images
Chao Zhang, Siyuan Li, Daolai Huang, et al.
Academic Radiology (2025)
Closed Access
Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network features
Chiharu Kai, Hideaki Tamori, Tsunehiro Ohtsuka, et al.
Breast Cancer Research and Treatment (2025)
Closed Access
MultiBCD: A multimodal model that simulates the human diagnostic process for automated breast cancer detection
Juntong Du, Zihan Zhang, W. Andy Tao
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107410-107410
Closed Access
NMTNet: A Multi-task Deep Learning Network for Joint Segmentation and Classification of Breast Tumors
Xuelian Yang, Yuanjun Wang, Li Sui
Deleted Journal (2025)
Closed Access
On the Effectiveness of Using Visual Transformers in Detecting Abnormalities of Histopathological Images
Eugene Yu. Shchetinin
Mathematical Models and Computer Simulations (2025) Vol. 17, Iss. 1, pp. 46-54
Closed Access
TMAN: A Triple Morphological Feature Attention Network for Fine-Grained Classification of Breast Ultrasound Images
Dongyue Wang, Min Xue, Hui Wang
Deleted Journal (2025)
Closed Access
Ultra-broadband NIR emission of Ni2+ doped Sr2ScTaO6 phosphors via multi-site occupancy for application in NIR spectroscopy
Fei Huang, Yuqing Yan, Guanyu Zhu, et al.
Applied Materials Today (2025) Vol. 44, pp. 102731-102731
Closed Access
A Dirichlet Distribution-Based Complex Ensemble Approach for Breast Cancer Classification from Ultrasound Images with Transfer Learning and Multiphase Spaced Repetition Method
Osman Güler
Deleted Journal (2025)
Closed Access
Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative
Yun Xin Teoh, Alice Othmani, Khin Wee Lai, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 242, pp. 107807-107807
Open Access | Times Cited: 9
Classification of multi‐feature fusion ultrasound images of breast tumor within category 4 using convolutional neural networks
Pengfei Xu, Jing Zhao, Mingxi Wan, et al.
Medical Physics (2024) Vol. 51, Iss. 6, pp. 4243-4257
Closed Access | Times Cited: 2
Swin transformer-based fork architecture for automated breast tumor classification
Hüseyin Üzen, Hüseyin Fırat, Orhan Atıla, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 125009-125009
Closed Access | Times Cited: 2
Computer-assisted diagnosis for axillary lymph node metastasis of early breast cancer based on transformer with dual-modal adaptive mid-term fusion using ultrasound elastography
Chihao Gong, Yinglan Wu, Guangyuan Zhang, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 119, pp. 102472-102472
Closed Access | Times Cited: 2
Complex Transformer Network for Single-Angle Plane-Wave Imaging
Xiaolei Qu, Chujian Ren, Zihao Wang, et al.
Ultrasound in Medicine & Biology (2023) Vol. 49, Iss. 10, pp. 2234-2246
Closed Access | Times Cited: 6
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network
Bryar Shareef, Min Xian, Aleksandar Vakanski, et al.
Lecture notes in computer science (2023), pp. 344-353
Open Access | Times Cited: 6
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