OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Vision Transformers for Computational Histopathology
Hongming Xu, Qi Xu, Fengyu Cong, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 63-79
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Vision transformer based classification of gliomas from histopathological images
Evgin Göçeri
Expert Systems with Applications (2023) Vol. 241, pp. 122672-122672
Closed Access | Times Cited: 32

Structure Embedded Nucleus Classification for Histopathology Images
Wei Lou, Xiang Wan, Guanbin Li, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 9, pp. 3149-3160
Open Access | Times Cited: 7

OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation
Q. Y. Nie, Chen Li, Jinzhu Yang, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107620-107620
Closed Access | Times Cited: 16

Supremacy of attention-based transformer in oral cancer classification using histopathology images
Bhaswati Singha Deo, Mayukha Pal, Prasanta K. Panigrahi, et al.
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 5

When multiple instance learning meets foundation models: Advancing histological whole slide image analysis
Hongming Xu, Mingkang Wang, Duan‐Bo Shi, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103456-103456
Open Access

ViTs as backbones: Leveraging vision transformers for feature extraction
Omar Elharrouss, Yassine Himeur, Yasir Mahmood, et al.
Information Fusion (2025), pp. 102951-102951
Closed Access

Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis
Yousry AbdulAzeem, Hossam Magdy Balaha, Hanaa ZainEldin, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107620-107620
Closed Access

PKMT-Net: A pathological knowledge-inspired multi-scale transformer network for subtype prediction of lung cancer using histopathological images
Zhilei Zhao, Shuli Guo, Lina Han, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107742-107742
Closed Access

Multimodal histopathologic models stratify hormone receptor-positive early breast cancer
Kevin M. Boehm, Omar S.M. El Nahhas, Antonio Marra, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

ResGDANet: An Efficient Residual Group Attention Neural Network for Medical Image Classification
Sihan Li, Juhua Huang
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2693-2693
Open Access

A generalised vision transformer-based self-supervised model for diagnosing and grading prostate cancer using histological images
Abadh K. Chaurasia, H Harris, Patrick W Toohey, et al.
Prostate Cancer and Prostatic Diseases (2025)
Open Access

Image‐Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches
Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access

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

A novel rotation and scale-invariant deep learning framework leveraging conical transformers for precise differentiation between meningioma and solitary fibrous tumor
Mohamed T. Azam, Hossam Magdy Balaha, Akshitkumar M. Mistry, et al.
Journal of Pathology Informatics (2025) Vol. 17, pp. 100422-100422
Open Access

Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma
B. Song, Amaury Leroy, Kailin Yang, et al.
EBioMedicine (2025) Vol. 114, pp. 105663-105663
Closed Access

Improving generalization capability of deep learning-based nuclei instance segmentation by non-deterministic train time and deterministic test time stain normalization
Amirreza Mahbod, Georg Dorffner, Isabella Ellinger, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 669-678
Open Access | Times Cited: 3

AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images
Md. Shariful Alam, Dadong Wang, Arcot Sowmya
Artificial Intelligence in Medicine (2024) Vol. 154, pp. 102917-102917
Open Access | Times Cited: 3

Efficient abnormal behavior detection with adaptive weight distribution
Yutong He, Yi-ning Qin, Lei Chen, et al.
Neurocomputing (2024) Vol. 600, pp. 128187-128187
Closed Access | Times Cited: 2

MIHIC: a multiplex IHC histopathological image classification dataset for lung cancer immune microenvironment quantification
Ranran Wang, Yusong Qiu, Tong Wang, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 2

Multimodal histopathologic models stratify hormone receptor-positive early breast cancer
Kevin M. Boehm, Omar S.M. El Nahhas, Antonio Marra, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

Advancements in computer vision and pathology: Unraveling the potential of artificial intelligence for precision diagnosis and beyond
Justin Chang, Bryce Hatfield
Advances in cancer research (2024), pp. 431-478
Closed Access | Times Cited: 2

Colon Cancer Detection using Vision Transformers and Explainable AI

International Journal of Advanced Research in Science Communication and Technology (2024), pp. 189-196
Open Access | Times Cited: 1

Improving Chicken Disease Classification Based on Vision Transformer and Combine with Integrated Gradients Explanation
Huong Hoang Luong, Triet Minh Nguyen
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 1

When Multiple Instance Learning Meets Foundation Models: Advancing Histological Whole Slide Image Analysis
Cheng Lu, Hongming Xu, Mingkang Wang, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

Page 1 - Next Page

Scroll to top