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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:

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: 35

Showing 1-25 of 35 citing articles:

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: 54
Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images
Jaouad Tagnamas, Hiba Ramadan, Ali Yahyaouy, et al.
Visual Computing for Industry Biomedicine and Art (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 9
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: 4
Vision transformer promotes cancer diagnosis: A comprehensive review
Xiaoyan Jiang, Shuihua Wang‎, Yudong Zhang
Expert Systems with Applications (2024) Vol. 252, pp. 124113-124113
Closed Access | Times Cited: 4
Transfer Learning for Cancer Detection based on Images Analysis
Amine Bechar, Youssef Elmir, Rafik Medjoudj, et al.
Procedia Computer Science (2024) Vol. 239, pp. 1903-1910
Open Access | Times Cited: 4
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: 4
Enhance registration precision of transmission breast images utilizing improved Levenberg-Marquardt optimization algorithm with normalized cross-correlation
Gang Li, Nan Su Su Win, Meiling Fan, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109654-109654
Closed Access
MammoViT: A Custom Vision Transformer Architecture for Accurate BIRADS Classification in Mammogram Analysis
Ahmed Mokhtar A. Mansour, Faisal Alshomrani, Abdullah Alfahaid, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 285-285
Open 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
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
Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
Najmath Ottakath, Somaya Al‐Maadeed, Susu M. Zughaier, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2614-2614
Open Access | Times Cited: 12
Comparison between vision transformers and convolutional neural networks to predict non-small lung cancer recurrence
Annarita Fanizzi, Federico Fadda, Maria Colomba Comes, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Integration of feature enhancement technique in Google inception network for breast cancer detection and classification
Wasyihun Sema Admass, Yirga Yayeh Munaye, Ayodeji Olalekan Salau
Journal Of Big Data (2024) Vol. 11, 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-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: 2
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: 2
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: 2
Cross-modal deep learning model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer
Jianming Guo, Baihui Chen, Hongda Cao, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 2
Ensemble approach of deep learning models for binary and multiclass classification of histopathological images for breast cancer
Madhumita Pal, Ganapati Panda, Ranjan K. Mohapatra, et al.
Pathology - Research and Practice (2024) Vol. 263, pp. 155644-155644
Closed Access | Times Cited: 2
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network
Bryar Shareef, Min Xian, Aleksandar Vakanski, et al.
Lecture notes in computer science (2023), pp. 344-353
Open Access | Times Cited: 6
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
Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection
Amine Bechar, Youssef Elmir, Rafik Medjoudj, et al.
(2023), pp. 218-223
Open Access | Times Cited: 5
Deep Learning Approach to Improve Breast CancerClassification for Screening Mammography
Fatemah Faraji, Gökhan Bilgin
(2024), pp. 1-4
Closed Access | Times Cited: 1
BCED-Net: Breast Cancer Ensemble Diagnosis Network using transfer learning and the XGBoost classifier with mammography images
Drishti Arora, Rakesh Garg, Farhan Asif
Osong Public Health and Research Perspectives (2024) Vol. 15, Iss. 5, pp. 409-419
Open Access | Times Cited: 1
Enhancing Diagnostic Precision in Breast Cancer Classification Through EfficientNetB7 Using Advanced Image Augmentation and Interpretation Techniques
T R Mahesh, Surbhi Bhatia, Kritika Kumari Mishra, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 35, Iss. 1
Closed Access | Times Cited: 1
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