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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:

A survey of Transformer applications for histopathological image analysis: New developments and future directions
Chukwuemeka Clinton Atabansi, Jing Nie, Haijun Liu, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 22

Showing 22 citing articles:

Advantages of transformer and its application for medical image segmentation: a survey
Qiumei Pu, Zuoxin Xi, Shuai Yin, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 19
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: 30
Vision Transformers for Low-Quality Histopathological Images: A Case Study on Squamous Cell Carcinoma Margin Classification
Saeran Park, Gelan Ayana, Beshatu Debela Wako, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 260-260
Open Access
Instance-level semantic segmentation of nuclei based on multimodal structure encoding
Bo Guan, Guangdi Chu, Ziying Wang, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
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
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
Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer
Ching‐Wei Wang, Tzu-Chien Liu, Po-Jen Lai, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103372-103372
Closed Access | Times Cited: 3
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
CViTS-Net: A CNN-ViT Network With Skip Connections for Histopathology Image Classification
Anusree Kanadath, J. Angel Arul Jothi, Siddhaling Urolagin
IEEE Access (2024) Vol. 12, pp. 117627-117649
Open Access | Times Cited: 2
Dense Prediction of Cell Centroids Using Tissue Context and Cell Refinement
Joshua Millward, Zhen He, Aiden Nibali
Lecture notes in computer science (2024), pp. 138-149
Closed Access | Times Cited: 1
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs
Neel Kanwal, Farbod Khoraminia, Umay Kiraz, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs
Neel Kanwal, Farbod Khoraminia, Umay Kiraz, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images
Yejia Zhang, Hanqing Chao, Zhongwei Qiu, et al.
Lecture notes in computer science (2024), pp. 211-221
Closed Access | Times Cited: 1
Data Augmentation in Histopathological Classification: An Analysis Exploring GANs with XAI and Vision Transformers
Guilherme Botazzo Rozendo, Bianca Lançoni de Oliveira Garcia, Vinicius Augusto Toreli Borgue, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8125-8125
Open Access | Times Cited: 1
A new dataset of oral panoramic x-ray images and parallel network using transformers for medical image segmentation
Peng Chen, Jianguo Zhang, Yichuan Jiang, et al.
Journal of Stomatology Oral and Maxillofacial Surgery (2023) Vol. 125, Iss. 3, pp. 101700-101700
Closed Access | Times Cited: 2
Transformer networks and autoencoders in genomics and genetic data interpretation: A case study
Haseeb Ahmed Khan, Naiwrita Borah, Shaik Salma Begum, et al.
Elsevier eBooks (2024), pp. 399-423
Closed 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.
(2024)
Open Access
Identification of Key Features in Breast Cancer Diagnosis Using Vision Transformer
Jingyi Dong, Wanqiong Huang, J.-J. Zhang
(2024), pp. 109-116
Closed Access
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs
Neel Kanwal, Farbod Khoraminia, Umay Kiraz, et al.
Research Square (Research Square) (2024)
Open Access
Impact of imperfect annotations on CNN training and performance for instance segmentation and classification in digital pathology
Laura Gálvez Jiménez, Christine Decaestecker
Computers in Biology and Medicine (2024) Vol. 177, pp. 108586-108586
Closed Access
Automated quantification of SARS-CoV-2 pneumonia with large vision model knowledge adaptation
Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, et al.
New Microbes and New Infections (2024) Vol. 62, pp. 101457-101457
Open Access
A lightweight spatially-aware classification model for breast cancer pathology images
Liang Jiang, Cheng Zhang, Huan Zhang, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 586-608
Closed Access
Building a DenseNet-Based Neural Network with Transformer and MBConv Blocks for Penile Cancer Classification
Marcos Gabriel Mendes Lauande, Geraldo Bráz, João Dallyson Sousa de Almeida, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10536-10536
Open Access
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