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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:

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Richard J. Chen, Chengkuan Chen, Yicong Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16123-16134
Open Access | Times Cited: 279

Showing 1-25 of 279 citing articles:

Towards a general-purpose foundation model for computational pathology
Richard J. Chen, Tong Ding, Ming Y. Lu, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 850-862
Open Access | Times Cited: 205
Deep learning-enabled virtual histological staining of biological samples
Bijie Bai, Xilin Yang, Yuzhu Li, et al.
Light Science & Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 144
A whole-slide foundation model for digital pathology from real-world data
Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, et al.
Nature (2024) Vol. 630, Iss. 8015, pp. 181-188
Open Access | Times Cited: 108
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Mingu Kang, Heon Song, Seonwook Park, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 3344-3354
Open Access | Times Cited: 76
Fast and scalable search of whole-slide images via self-supervised deep learning
Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, et al.
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1420-1434
Open Access | Times Cited: 72
On the challenges and perspectives of foundation models for medical image analysis
Shaoting Zhang, Dimitris Metaxas
Medical Image Analysis (2023) Vol. 91, pp. 102996-102996
Open Access | Times Cited: 70
Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology
Daiwei Zhang, Amelia Schroeder, Hanying Yan, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 9, pp. 1372-1377
Closed Access | Times Cited: 68
A foundation model for clinical-grade computational pathology and rare cancers detection
Eugene Vorontsov, Alican Bozkurt, Adam Casson, et al.
Nature Medicine (2024) Vol. 30, Iss. 10, pp. 2924-2935
Open Access | Times Cited: 56
Toward Explainable Artificial Intelligence for Precision Pathology
Frederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
Annual Review of Pathology Mechanisms of Disease (2023) Vol. 19, Iss. 1, pp. 541-570
Open Access | Times Cited: 53
CellCharter reveals spatial cell niches associated with tissue remodeling and cell plasticity
Marco Varrone, Daniele Tavernari, Albert Santamaria‐Martínez, et al.
Nature Genetics (2023) Vol. 56, Iss. 1, pp. 74-84
Open Access | Times Cited: 48
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
Ming Y. Lu, Bowen Chen, Andrew Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 19764-19775
Open Access | Times Cited: 45
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: 42
Deep learning in cancer genomics and histopathology
Michaela Unger, Jakob Nikolas Kather
Genome Medicine (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 24
Demographic bias in misdiagnosis by computational pathology models
Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, et al.
Nature Medicine (2024) Vol. 30, Iss. 4, pp. 1174-1190
Closed Access | Times Cited: 22
Cross-scale multi-instance learning for pathological image diagnosis
Ruining Deng, Can Cui, Lucas W. Remedios, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103124-103124
Open Access | Times Cited: 19
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 | Times Cited: 2
Resolving tissue complexity by multimodal spatial omics modeling with MISO
Kyle Coleman, Amelia Schroeder, Melanie Loth, et al.
Nature Methods (2025)
Closed Access | Times Cited: 2
Adversarial attacks and adversarial robustness in computational pathology
Narmin Ghaffari Laleh, Daniel Truhn, Gregory P. Veldhuizen, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 62
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
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification
Honglin Li, Chenglu Zhu, Yunlong Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 35
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
Wenhao Tang, Sheng Huang, Xiaoxian Zhang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 4055-4064
Open Access | Times Cited: 30
Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images
Quoc Dang Vu, Kashif Rajpoot, Shan E Ahmed Raza, et al.
Medical Image Analysis (2023) Vol. 85, pp. 102743-102743
Open Access | Times Cited: 27
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: 25
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: 25
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: 24
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