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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:

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

Showing 15 citing articles:

Multi-head self-attention mechanism-based global feature learning model for ASD diagnosis
Feng Zhao, Fan Feng, Shixin Ye, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106090-106090
Closed Access | Times Cited: 12
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
Research on void identification of concrete filled steel tube under data imbalance and constraint condition change
Kaizhong Xie, Qin Yue, Xianyan Luo, et al.
Structures (2025) Vol. 72, pp. 108245-108245
Closed Access | Times Cited: 1
3D breast ultrasound image classification using 2.5D deep learning
Zhikai Yang, Tianyu Fan, Örjan Smedby, et al.
(2024), pp. 26-26
Closed Access | Times Cited: 4
BiaCanDet: Bioelectrical impedance analysis for breast cancer detection with space-time attention neural network
Feng Yu, Z. J. Xiao, Li Liu, et al.
Expert Systems with Applications (2025), pp. 126223-126223
Closed Access
ABUS-Net: Graph convolutional network with multi-scale features for breast cancer diagnosis using automated breast ultrasound
Changyan Wang, Yuqing Guo, Haobo Chen, et al.
Expert Systems with Applications (2025), pp. 126978-126978
Closed Access
A multi-task self-supervised approach for mass detection in automated breast ultrasound using double attention recurrent residual U-Net
Poorya MohammadiNasab, Atousa Khakbaz, Hamid Behnam, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109829-109829
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
Artificial intelligence-based automated breast ultrasound radiomics for breast tumor diagnosis and treatment: a narrative review
Yinglin Guo, Ning Li, Chonghui Song, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Sequential attention layer-wise fusion network for multi-view classification
Qing Teng, Xibei Yang, Qiguo Sun, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 12, pp. 5549-5561
Closed Access | Times Cited: 2
Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients
Daniel Iglesias, Joaquim de Moura, Shahab Aslani, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
Three-Dimensional Automated Breast Ultrasound (ABUS) Tumor Classification Using a 2D-Input Network: Soft Voting or Hard Voting?
Shaode Yu, Xiaoyu Liang, Shundong Zhao, et al.
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11611-11611
Open Access | Times Cited: 1
DEEP LEARNING-BASED FEATURE FUSION AND TRANSFER LEARNING FOR APPROXIMATING pIC VALUE OF COVID-19 MEDICINE USING DRUG DISCOVERY DATA
Amol Dattatray Dhaygude, M. D. A. Hasan, M. Vijay
Journal of Mechanics in Medicine and Biology (2023) Vol. 24, Iss. 05
Closed Access | Times Cited: 2
A Novel Approach to Breast Tumor Detection: Enhanced Speckle Reduction and Hybrid Classification in Ultrasound Imaging
K Umapathi, S. Shobana, Anand Nayyar, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 2, pp. 1875-1901
Open Access
A survey of artificial intelligence-assisted analysis of breast ultrasoundimages classification: Research progress and future directions
Ying Wu, Faming Li, Bo Xu, et al.
(2024), pp. 1-6
Closed Access
Ohabm-net: an enhanced attention-driven hybrid network for improved breast mass detection
Barsha Abhisheka, Saroj Kr. Biswas, Biswajit Purkayastha
Neural Computing and Applications (2024)
Closed Access
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