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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:

Patchless Multi-Stage Transfer Learning for Improved Mammographic Breast Mass Classification
Gelan Ayana, Jinhyung Park, Se‐woon Choe
Cancers (2022) Vol. 14, Iss. 5, pp. 1280-1280
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Medical image data augmentation: techniques, comparisons and interpretations
Evgin Göçeri
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12561-12605
Open Access | Times Cited: 182
Vision-Transformer-Based Transfer Learning for Mammogram Classification
Gelan Ayana, Kokeb Dese, Yisak Dereje, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 178-178
Open Access | Times Cited: 56
Research on Artificial-Intelligence-Assisted Medicine: A Survey on Medical Artificial Intelligence
Fangfang Gou, Jun Liu, Chunwen Xiao, et al.
Diagnostics (2024) Vol. 14, Iss. 14, pp. 1472-1472
Open Access | Times Cited: 24
A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images
Kiran Jabeen, Muhammad Attique Khan, Mohamed Abdel Hameed, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 22
Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset
Mingzhao Wang, Ran Liu, Joseph Luttrell, et al.
Journal of Multidisciplinary Healthcare (2025) Vol. Volume 18, pp. 675-695
Open Access | Times Cited: 1
From Diagnosis to Treatment: A Review of AI Applications in Psoriasis Management
Eyerusalem Gebremeskel, Gelane Biru, Honey Gemechu, et al.
Journal of Electrical Engineering and Technology (2025)
Closed Access | Times Cited: 1
BUViTNet: Breast Ultrasound Detection via Vision Transformers
Gelan Ayana, Se‐woon Choe
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2654-2654
Open Access | Times Cited: 36
Multistage transfer learning for medical images
Gelan Ayana, Kokeb Dese, Ahmed Mohammed Abagaro, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 6
Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database
Hatice Çatal Reis, Veysel Turk
Journal of Digital Imaging (2022) Vol. 36, Iss. 1, pp. 306-325
Open Access | Times Cited: 23
MediNet: transfer learning approach with MediNet medical visual database
Hatice Çatal Reis, Veysel Turk, Kourosh Khoshelham, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 25, pp. 39211-39254
Open Access | Times Cited: 12
Vision Transformers-Based Transfer Learning for Breast Mass Classification From Multiple Diagnostic Modalities
Gelan Ayana, Se‐woon Choe
Journal of Electrical Engineering and Technology (2024) Vol. 19, Iss. 5, pp. 3391-3410
Closed Access | Times Cited: 4
Empowering early detection: artificial intelligence as a tool for breast cancer diagnosis
Pratishtha Verma, Gaurav Tripathi, Roshan Singh
Elsevier eBooks (2025), pp. 121-145
Closed Access
Advancements in Computer-Aided Diagnosis Systems for Mammographic Mass Detection: A Comprehensive Review
Manasi Hazarika, Sonia Sarmah, Pranab Das, et al.
Studies in computational intelligence (2025), pp. 119-144
Closed Access
A Hybrid Model for the Segmentation of Mammogram Images using Otsu Thresholding, Morphology and U-Net
Vandana Saini, Meenu Khurana, Rama Krishna Challa
Biomedical & Pharmacology Journal (2025) Vol. 18, Iss. 1, pp. 799-812
Open Access
Ensemble Architecture of Vision Transformer and CNNs for Breast Cancer Tumor Detection From Mammograms
Saif Ur Rehman Khan, Sohaib Asif, Omair Bilal
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 3
Closed Access
Pathological Insights: Enhanced Vision Transformers for the Early Detection of Colorectal Cancer
Gelan Ayana, Hika Barki, Se‐woon Choe
Cancers (2024) Vol. 16, Iss. 7, pp. 1441-1441
Open Access | Times Cited: 3
Image analysis and teaching strategy optimization of folk dance training based on the deep neural network
Zhou Li
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Domain and Histopathology Adaptations–Based Classification for Malignancy Grading System
Vicky Mudeng, Mifta Nur Farid, Gelan Ayana, et al.
American Journal Of Pathology (2023) Vol. 193, Iss. 12, pp. 2080-2098
Closed Access | Times Cited: 7
Vision Transformers for Breast Cancer Human Epidermal Growth Factor Receptor 2 Expression Staging without Immunohistochemical Staining
Gelan Ayana, Eonjin Lee, Se‐woon Choe
American Journal Of Pathology (2023) Vol. 194, Iss. 3, pp. 402-414
Open Access | Times Cited: 6
MTRA-CNN: A Multi-Scale Transfer Learning Framework for Glaucoma Classification in Retinal Fundus Images
Sanli Yi, Lingxiang Zhou, Lei Ma, et al.
IEEE Access (2023) Vol. 11, pp. 142689-142701
Open Access | Times Cited: 6
Deep neural network incorporating domain and resolution transformations model for histopathological image classification
Vicky Mudeng, Se‐woon Choe
Computers & Electrical Engineering (2022) Vol. 104, pp. 108468-108468
Closed Access | Times Cited: 8
Multi-Stage Classification-Based Deep Learning for Gleason System Grading Using Histopathological Images
Kamal Hammouda, Fahmi Khalifa, Norah Saleh Alghamdi, et al.
Cancers (2022) Vol. 14, Iss. 23, pp. 5897-5897
Open Access | Times Cited: 7
Deep Learning Approach to Improve Breast CancerClassification for Screening Mammography
Fatemah Faraji, Gökhan Bilgin
(2024), pp. 1-4
Closed Access | Times Cited: 1
Texture Features of Grey Level Size Zone Matrix for Breast Cancer Detection
Rasha Awad Abtan, Anwar H. Al-Saleh, Haidar J. Mohamed, et al.
Iraqi Journal of Science (2023), pp. 492-502
Open Access | Times Cited: 2
Simply Fine-Tuned Deep Learning-Based Classification for Breast Cancer with Mammograms
Vicky Mudeng, Jin-Woo Jeong, Se‐woon Choe
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 3, pp. 4677-4693
Open Access | Times Cited: 3
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