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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:

HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images
Yuhao Mo, Chu Han, Yü Liu, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 6, pp. 1696-1706
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

HCTNet: A hybrid CNN-transformer network for breast ultrasound image segmentation
Qiqi He, Qiuju Yang, Minghao Xie
Computers in Biology and Medicine (2023) Vol. 155, pp. 106629-106629
Closed Access | Times Cited: 87
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: 51
A Cross-scale Attention-Based U-Net for Breast Ultrasound Image Segmentation
Teng Wang, Jun Liu, Jinshan Tang
Deleted Journal (2025)
Closed Access | Times Cited: 3
Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer
Yunfeng Zhang, Chuan Zhou, Sheng Guo, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 2
Open Access | Times Cited: 16
Multi-task learning for segmentation and classification of breast tumors from ultrasound images
Qiqi He, Qiuju Yang, Hang Su, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108319-108319
Closed Access | Times Cited: 10
Attention-map augmentation for hypercomplex breast cancer classification
Eleonora Lopez, Filippo Betello, Federico Carmignani, et al.
Pattern Recognition Letters (2024) Vol. 182, pp. 140-146
Open Access | Times Cited: 10
Dual branch segment anything model‐transformer fusion network for accurate breast ultrasound image segmentation
Yu Li, Jin Huang, Yimin Zhang, et al.
Medical Physics (2025)
Closed Access | Times Cited: 1
Vision transformer-based model can optimize curative-intent treatment for patients with recurrent hepatocellular carcinoma
Ke Zhang, Jinyu Ru, Wenbo Wang, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
RDTNet: A residual deformable attention based transformer network for breast cancer classification
Babita, Deepak Ranjan Nayak
Expert Systems with Applications (2024) Vol. 249, pp. 123569-123569
Closed Access | Times Cited: 8
An intelligent healthcare framework for breast cancer diagnosis based on the information fusion of novel deep learning architectures and improved optimization algorithm
Kiran Jabeen, Muhammad Attique Khan, Robertas Damaševičius, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109152-109152
Closed Access | Times Cited: 7
Ultrasound Image Analysis with Vision Transformers – Review
Majid Vafaeezadeh, Hamid Behnam, Parisa Gifani
(2024)
Open Access | Times Cited: 5
Ultrasound Image Analysis with Vision Transformers—Review
Majid Vafaeezadeh, Hamid Behnam, Parisa Gifani
Diagnostics (2024) Vol. 14, Iss. 5, pp. 542-542
Open Access | Times Cited: 5
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
A Novel Approach for Breast Cancer Detection by Mammograms
Pragati Kumar, Dhivya Bhavani
(2024), pp. 1-5
Closed Access | Times Cited: 5
A Systematic Review of Breast Cancer Detection Using Machine Learning and Deep Learning
Amit Kumar, Rashmi Saini, Rajeev Kumar
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 1128-1133
Closed Access | Times Cited: 13
A robust encoder decoder based weighted segmentation and dual staged feature fusion based meta classification for breast cancer utilizing ultrasound imaging
Md Hasib Al Muzdadid Haque Himel, Pallab Chowdhury, Md. Al Mehedi Hasan
Intelligent Systems with Applications (2024) Vol. 22, pp. 200367-200367
Open Access | Times Cited: 4
TDF-Net: Trusted Dynamic Feature Fusion Network for breast cancer diagnosis using incomplete multimodal ultrasound
Pengfei Yan, Wushuang Gong, Minglei Li, et al.
Information Fusion (2024) Vol. 112, pp. 102592-102592
Closed Access | Times Cited: 4
CMIT-Net: a cross-modal information transfer network for multi-modal brain tumor segmentation
Shoukun Xu, Rui Tang, Jialu Chen, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 3
Closed Access
Gene prioritization for cancer module identification
Ihtiram Raza Khan, Anil Kumar, Nihar Ranjan Nayak, et al.
Elsevier eBooks (2025), pp. 45-58
Closed Access
Instance-level semantic segmentation of nuclei based on multimodal structure encoding
Bo Guan, Guangdi Chu, Ziying Wang, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Advancements in the Application of Convolutional Neural Networks in Ultrasound Imaging for Breast Cancer Diagnosis and Treatment
Zichen An, Fan Li
Advanced ultrasound in diagnosis and therapy (2025) Vol. 9, Iss. 1, pp. 21-21
Open Access
LRCTNet: A lightweight rectal cancer T-staging network based on knowledge distillation via a pretrained swin transformer
Yan Jia, Peng Liu, Ting-Wei Xiong, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107696-107696
Closed Access
Identification of benign and malignant breast nodules on ultrasound: comparison of multiple deep learning models and model interpretation
Xi Wen, Hao Tu, Bingyang Zhao, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
C3A-Net: A clinically-inspired aggregated anatomical analysis network for hybrid breast ultrasound diagnosis
Yang Xiang, Xun Gong, Hong Zhou
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107685-107685
Closed Access
Feature fusion network for pulmonary nodule segmentation and EGFR classification using dual encoders
Huaqiang Su, Haijun Lei, Zaiyi Liu, et al.
Expert Systems with Applications (2025), pp. 127523-127523
Closed Access
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