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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 Graph-Transformer for Whole Slide Image Classification
Yi Zheng, Rushin Gindra, Emily J. Green, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 11, pp. 3003-3015
Open Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Advances in medical image analysis with vision Transformers: A comprehensive review
Reza Azad, Amirhossein Kazerouni, Moein Heidari, et al.
Medical Image Analysis (2023) Vol. 91, pp. 103000-103000
Open Access | Times Cited: 105
A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers
Weiming Hu, Xintong Li, Chen Li, et al.
Computers in Biology and Medicine (2023) Vol. 161, pp. 107034-107034
Open Access | Times Cited: 46
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 15661-15670
Open Access | Times Cited: 39
Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy
Clare McGenity, Emily L. Clarke, Charlotte Jennings, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 16
MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer
Xiaoying Wang, Maoteng Duan, Jingxian Li, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
CGAM: An end-to-end causality graph attention Mamba network for esophageal pathology grading
Yingbo Qu, Xiaolong Zhou, Pan Huang, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107452-107452
Closed Access | Times Cited: 1
Deep Learning for Lung Cancer Diagnosis, Prognosis and Prediction Using Histological and Cytological Images: A Systematic Review
Athena S. Davri, Effrosyni Birbas, Theofilos Kanavos, et al.
Cancers (2023) Vol. 15, Iss. 15, pp. 3981-3981
Open Access | Times Cited: 27
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
Conghao Xiong, Hao Chen, Joseph J.�Y. Sung, et al.
(2023), pp. 1587-1595
Open Access | Times Cited: 23
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: 23
Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review
Hazrat Ali, Farida Mohsen, Zubair Shah
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 21
Dynamic Graph Representation with Knowledge-Aware Attention for Histopathology Whole Slide Image Analysis
Jiawen Li, Yuxuan Chen, Hongbo Chu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 11323-11332
Closed Access | Times Cited: 8
PMFN-SSL: Self-supervised learning-based progressive multimodal fusion network for cancer diagnosis and prognosis
L. K. Li, Hudan Pan, Yong Liang, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111502-111502
Closed Access | Times Cited: 7
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
Multi-scale relational graph convolutional network for multiple instance learning in histopathology images
Roozbeh Bazargani, Ladan Fazli, Martin Gleave, et al.
Medical Image Analysis (2024) Vol. 96, pp. 103197-103197
Open Access | Times Cited: 7
Holotomography
Geon Kim, Hervé Hugonnet, Kyoohyun Kim, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 7
Current Developments of Artificial Intelligence in Digital Pathology and Its Future Clinical Applications in Gastrointestinal Cancers
Alex Ngai Nick Wong, ZeBang He, Ka Long Leung, et al.
Cancers (2022) Vol. 14, Iss. 15, pp. 3780-3780
Open Access | Times Cited: 30
Weakly supervised joint whole-slide segmentation and classification in prostate cancer
Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, et al.
Medical Image Analysis (2023) Vol. 89, pp. 102915-102915
Open Access | Times Cited: 17
An aggregation of aggregation methods in computational pathology
Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102885-102885
Open Access | Times Cited: 16
The future of artificial intelligence in thoracic surgery for non-small cell lung cancer treatment a narrative review
Namariq Abbaker, Fabrizio Minervini, Angelo Guttadauro, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 6
DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images
Doanh C. Bui, Boram Song, Kyungeun Kim, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 248, pp. 108112-108112
Open Access | Times Cited: 6
A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas
Rui Jiang, Xiaoxu Yin, Pengshuai Yang, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 8, pp. 876-891
Closed Access | Times Cited: 5
Leveraging Graph Theory for Advanced Embryo Stage Identification in Assisted Reproductive Technologies
Saul Muñoz-Herrera, Omar Paredes
IFMBE proceedings (2025), pp. 135-144
Closed Access
Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology
Olga Fourkioti, Matt De Vries, Reed Naidoo, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
A medical image segmentation method based on adaptive graph sparse algorithm under contrastive learning framework
Yuanrong Zhang, Yiming Zhao, M. Z. Wang, et al.
Displays (2025), pp. 102971-102971
Closed Access
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
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