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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:

Deep Learning-based Automatic Diagnosis of Breast Cancer on MRI Using Mask R-CNN for Detection Followed by ResNet50 for Classification
Yang Zhang, Y. Liu, Ke Nie, et al.
Academic Radiology (2023) Vol. 30, pp. S161-S171
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Deep learning for the detection of moyamoya angiopathy using T2-weighted images: a multicenter study
Maoxue Wang, Song Luo, Chaoyong Xiao, et al.
Quantitative Imaging in Medicine and Surgery (2025) Vol. 15, Iss. 2, pp. 1346-1357
Closed Access
Extracting Knowledge from Machine Learning Models to Diagnose Breast Cancer
José Manuel Martínez-Ramírez, C. J. Carmona, María Jesús Ramírez‐Expósito, et al.
Life (2025) Vol. 15, Iss. 2, pp. 211-211
Open Access
Deep learning-based breast cancer diagnosis in breast MRI: systematic review and meta-analysis
Kamarul Amin Abdullah, Sara Marziali, Muzna Nanaa, et al.
European Radiology (2025)
Open Access
Deep Learning in Oncology: Transforming Cancer Diagnosis, Prognosis, and Treatment
Thaís Santos Anjo Reis
Emerging Trends in Drugs Addictions and Health (2025), pp. 100171-100171
Open Access
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
Accurate phenotyping of luminal A breast cancer in magnetic resonance imaging: A new 3D CNN approach
João Fontes, João Nuno Centeno Raimundo, Luís Magalhães, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109903-109903
Open Access
Development and validation of radiomics and deep transfer learning models to assess cognitive impairment in patients with cerebral small vessel disease
Wei Zheng, Qi Wu, Ronghua Mu, et al.
Neuroscience (2025) Vol. 572, pp. 145-154
Closed Access
Dual-Modality Virtual Biopsy System Integrating MRI and MG for Noninvasive Predicting HER2 Status in Breast Cancer
Qian Wang, Ziqian Zhang, Can-Can Huang, et al.
Academic Radiology (2025)
Closed Access
MRI‐Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning
Chao Cong, Xiaoguang Li, Chunlai Zhang, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 59, Iss. 1, pp. 148-161
Closed Access | Times Cited: 10
Classification and prediction of chemoradiotherapy response and survival from esophageal carcinoma histopathology images
Yu Chen, Ruihuan Gao, Di Jing, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 312, pp. 124030-124030
Open Access | Times Cited: 3
ResRetinaFace: an efficient face detection network based on RetinaFace and residual structure
Xuanyu Liu, Shuliang Zhang, Junjie Hu, et al.
Journal of Electronic Imaging (2024) Vol. 33, Iss. 04
Closed Access | Times Cited: 2
FS-YOLOv9: A Frequency and Spatial Feature-Based YOLOv9 for Real-time Breast Cancer Detection
Haitian Gui, Tao Su, Xinhua Jiang, et al.
Academic Radiology (2024)
Closed Access | Times Cited: 2
Multitask Deep Learning‐Based Whole‐Process System for Automatic Diagnosis of Breast Lesions and Axillary Lymph Node Metastasis Discrimination from Dynamic Contrast‐Enhanced‐MRI: A Multicenter Study
Heng Zhou, Zhen Hua, Jing Gao, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 59, Iss. 5, pp. 1710-1722
Closed Access | Times Cited: 7
A systematic literature analysis of multi-organ cancer diagnosis using deep learning techniques
Jaspreet Kaur, Prabhpreet Kaur
Computers in Biology and Medicine (2024) Vol. 179, pp. 108910-108910
Closed Access | Times Cited: 2
Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases
Anum Masood, Usman Naseem, Jinman Kim
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-4
Closed Access | Times Cited: 5
Multihead Neural Network for Multiple Segmented Images-Based Diagnosis of Thyroid-Associated Orbitopathy Activity
Sanghyuck Lee, Jeong Kyu Lee, Jaesung Lee
IEEE Access (2024) Vol. 12, pp. 43862-43873
Open Access | Times Cited: 1
Breast Cancer Classification Utilizing Deep Learning Techniques on Medical Images: A Comprehensive Review
Marwah K. Muttair
Deleted Journal (2024) Vol. 20, Iss. 4s, pp. 1913-1943
Open Access | Times Cited: 1
Automated breast cancer diagnosis optimized with higher-order attribute-enhancing heterogeneous graph neural networks using mammogram images
Gunasekaran Kulandaivelu, Anuradha Taluja, Mridini Gawas, et al.
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106659-106659
Closed Access | Times Cited: 1
Advancing breast ultrasound diagnostics through hybrid deep learning models
Ajmeera Kiran, Janjhyam Venkata Naga Ramesh, Irfan Sadiq Rahat, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108962-108962
Closed Access | Times Cited: 1
Flamingo Search Sailfish Optimizer Based SqueezeNet for Detection of Breast Cancer Using MRI Images
P. Vijaya, Satish Chander, Roshan Fernandes, et al.
Cancer Investigation (2024), pp. 1-24
Closed Access | Times Cited: 1
Design and Implementation of Artificial Neural Network Classifiers based on Hypertuning Parameters for Breast Cancer Diagnosis
Neetu Gupta, Hemant Gupta, Rahul Srivastava, et al.
Procedia Computer Science (2024) Vol. 233, pp. 929-938
Open Access | Times Cited: 1
Invasive Ductal Carcinoma Classification Using ResNet18 Model on Transfer Learning Concepts
Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 2
Deep learning approaches for breast cancer detection using breast MRI
Tanisha Sahu, Abdülhamit Subaşı
Elsevier eBooks (2024), pp. 205-242
Closed Access
Effective multispike learning in a spiking neural network with a new temporal feedback backpropagation for breast cancer detection
Mehdi Heidarian, Gholamreza Karimi, Mehrdad Payandeh
Expert Systems with Applications (2024) Vol. 252, pp. 124010-124010
Closed Access
A Novel Approach for Breast Tumor MRI Classification: Vision Transformers and Majority Integration
Junpei Xue, Leilei Zhou, Yu‐Chen Chen, et al.
ICC 2022 - IEEE International Conference on Communications (2024), pp. 226-231
Closed Access
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