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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:

IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation
Chengtao Peng, Yue Zhang, Jian Zheng, et al.
Computerized Medical Imaging and Graphics (2021) Vol. 95, pp. 102021-102021
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

BTS-ST: Swin transformer network for segmentation and classification of multimodality breast cancer images
Ahmed Iqbal, Muhammad Sharif
Knowledge-Based Systems (2023) Vol. 267, pp. 110393-110393
Closed Access | Times Cited: 63
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, N. Sarshar, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10099-10136
Closed Access | Times Cited: 46
A review on brain tumor segmentation based on deep learning methods with federated learning techniques
Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102313-102313
Open Access | Times Cited: 44
Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique
Kranti Kumar Dewangan, Deepak Kumar Dewangan, Satya Prakash Sahu, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 10, pp. 13935-13960
Open Access | Times Cited: 44
Joint-phase attention network for breast cancer segmentation in DCE-MRI
Rian Huang, Zeyan Xu, Yu Xie, et al.
Expert Systems with Applications (2023) Vol. 224, pp. 119962-119962
Closed Access | Times Cited: 25
Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting
Yue Zhang, Chengtao Peng, Ruofeng Tong, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 10, pp. 3091-3103
Closed Access | Times Cited: 15
High Performing Facial Skin Problem Diagnosis with Enhanced Mask R-CNN and Super Resolution GAN
Mi‐Ra Kim, Myeong Ho Song
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 989-989
Open Access | Times Cited: 13
NCRNet: Neighborhood Context Refinement Network for skin lesion segmentation
Qi Liu, Jingkun Wang, Mengying Zuo, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105545-105545
Closed Access | Times Cited: 21
Memory-efficient transformer network with feature fusion for breast tumor segmentation and classification task
Ahmed Iqbal, Muhammad Sharif
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107292-107292
Closed Access | Times Cited: 11
Breomics-U2net: Intra-Stage Multi-Scale Dual-Stream Atrous Convolutional Neural Network with Efficient Channel Attention-Based Fusion for Breast Cancer Segmentation Using Automated Breast Ultrasound (Abus)
Nor Haqkiem, Li Kuo Tan, Jeannie Hsiu Ding Wong, et al.
(2025)
Closed Access
Bounding boxes for weakly-supervised breast cancer segmentation in DCE-MRI
Yuming Zhong, Zeyan Xu, Chu Han, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107656-107656
Closed Access
A self-supervised representation learning paradigm with global content perception and peritumoral context restoration for MRI breast tumor segmentation
Xianqi Meng, Hongwei Yu, Jingfan Fan, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107757-107757
Closed Access
Artificial intelligence-assisted multimodal imaging for the clinical applications of breast cancer: a bibliometric analysis
Chang Hou, Ting Huang, Keke Hu, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
LMA-Net: A lesion morphology aware network for medical image segmentation towards breast tumors
Chengtao Peng, Yue Zhang, You Meng, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105685-105685
Closed Access | Times Cited: 18
SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation
Zhihe Zhao, Siyao Du, Zeyan Xu, et al.
Computers in Biology and Medicine (2024) Vol. 169, pp. 107939-107939
Open Access | Times Cited: 3
Edge of discovery: Enhancing breast tumor MRI analysis with boundary-driven deep learning
Naveed Urr Rehman, Junfeng Wang, Weiyan Hou, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106291-106291
Open Access | Times Cited: 3
Multi-scale convolution based breast cancer image segmentation with attention mechanism in conjunction with war search optimization
B. N. Madhukar, S H Bharathi, Ashwin Polnaya
International Journal of Computers and Applications (2023) Vol. 45, Iss. 5, pp. 353-366
Closed Access | Times Cited: 5
Multi-phase features interaction transformer network for liver tumor segmentation and microvascular invasion assessment in contrast-enhanced CT
Wencong Zhang, Yuxi Tao, Zhanyao Huang, et al.
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 4, pp. 5735-5761
Open Access | Times Cited: 1
Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling
Huakun Yang, Qian Chen, Keren Fu, et al.
Computerized Medical Imaging and Graphics (2022) Vol. 101, pp. 102110-102110
Closed Access | Times Cited: 7
NeighborNet: Learning Intra- and Inter-Image Pixel Neighbor Representation for Breast Lesion Segmentation
Weiwei Cao, Jianfeng Guo, Xiaohui You, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4761-4771
Closed Access
Breast tumor segmentation via deep correlation analysis of multi-sequence MRI
Hongyu Wang, Tonghui Wang, Yanfang Hao, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 12, pp. 3801-3814
Closed Access
Bilateral Cross-Modal Fusion Network for Multimodal Whole-Body Tumor Segmentation
Tao Yu, Xinrui Zhan, Lei Xiang, et al.
(2024), pp. 1-5
Closed Access
3DSC2-UNet: Advancing Breast Cancer Segmentation Techniques Using the 3D Skipped Convolution Capsule-UNet
Parthasarathy Ramadass, C. Sharmila, Rakesh Kumar Mahendran, et al.
(2024), pp. 1-7
Closed Access
Reinforcement tokenization and graph convolution for high-precision breast tumor segmentation in DCE-MRI
Arslan Akbar, Suya Han, Naveed Urr Rehman, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106947-106947
Open Access
Spatiotemporal context feedback bidirectional attention network for breast cancer segmentation based on DCE-MRI
Xiang Pan, Tianxu Lv, Yuan Liu, et al.
Neural Computing and Applications (2024)
Closed Access
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