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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:

Derivation of prognostic contextual histopathological features from whole-slide images of tumours via graph deep learning
Yong‐Ju Lee, Jeong Hwan Park, Sohee Oh, et al.
Nature Biomedical Engineering (2022)
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Artificial intelligence for digital and computational pathology
Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, et al.
Nature Reviews Bioengineering (2023) Vol. 1, Iss. 12, pp. 930-949
Closed Access | Times Cited: 82
A Multimodal Generative AI Copilot for Human Pathology
Ming Lu, Bowen Chen, Drew F. K. Williamson, et al.
Nature (2024)
Open Access | Times Cited: 68
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
Ming 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: 44
Analysis of 3D pathology samples using weakly supervised AI
Andrew H. Song, Mane Williams, Drew F. K. Williamson, et al.
Cell (2024) Vol. 187, Iss. 10, pp. 2502-2520.e17
Open Access | Times Cited: 24
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
Guillaume Jaume, Anurag Vaidya, Richard J. Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 9, pp. 11579-11590
Closed Access | Times Cited: 17
Mapping cancer biology in space: applications and perspectives on spatial omics for oncology
Sumin Lee, Gyeongjun Kim, JinYoung Lee, et al.
Molecular Cancer (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 15
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access | Times Cited: 11
Machine learning in computational histopathology: Challenges and opportunities
Michael Cooper, Zongliang Ji, Rahul G. Krishnan
Genes Chromosomes and Cancer (2023) Vol. 62, Iss. 9, pp. 540-556
Open Access | Times Cited: 23
Prediction of recurrence risk in endometrial cancer with multimodal deep learning
Sarah Volinsky-Fremond, Nanda Horeweg, Sonali Andani, et al.
Nature Medicine (2024) Vol. 30, Iss. 7, pp. 1962-1973
Open Access | Times Cited: 10
Deep learning on tertiary lymphoid structures in hematoxylin-eosin predicts cancer prognosis and immunotherapy response
Ziqiang Chen, Xiaobing Wang, Zelin Jin, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 9
Harnessing TME depicted by histological images to improve cancer prognosis through a deep learning system
Ruitian Gao, Xin Yuan, Yanran Ma, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 5, pp. 101536-101536
Open Access | Times Cited: 9
Holotomography
Geon Kim, Hervé Hugonnet, Kyoohyun Kim, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 9
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
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: 18
Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology
Yuting Jiang, Chengdi Wang, Shengtao Zhou
Seminars in Cancer Biology (2023) Vol. 96, pp. 82-99
Open Access | Times Cited: 17
Unleashing the potential of AI for pathology: challenges and recommendations
Amina Asif, Kashif Rajpoot, Simon Graham, et al.
The Journal of Pathology (2023) Vol. 260, Iss. 5, pp. 564-577
Open Access | Times Cited: 16
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
AI-based histopathology image analysis reveals a distinct subset of endometrial cancers
Amirali Darbandsari, Hossein Farahani, Maryam Asadi, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Transcriptomics-Guided Slide Representation Learning in Computational Pathology
Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 9632-9644
Closed Access | Times Cited: 6
Novel tools for early diagnosis and precision treatment based on artificial intelligence
Jun Shao, Jiaming Feng, Jingwei Li, et al.
Chinese Medical Journal - Pulmonary and Critical Care Medicine (2023) Vol. 1, Iss. 3, pp. 148-160
Open Access | Times Cited: 13
Clinical decision support tool for breast cancer recurrence prediction using SHAP value in cooperative game theory
Ying Liu, Yating Fu, Yadong Peng, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24876-e24876
Open Access | Times Cited: 5
Graph Artificial Intelligence in Medicine
Ruth Johnson, Michelle M. Li, Ayush Noori, et al.
Annual Review of Biomedical Data Science (2024) Vol. 7, Iss. 1, pp. 345-368
Open Access | Times Cited: 5
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
Dual-path neural network extracts tumor microenvironment information from whole slide images to predict molecular typing and prognosis of Glioma
Z. Ning, Bojie Yang, Yuanyuan Wang, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 261, pp. 108580-108580
Closed Access
Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology
Yang Hu, Korsuk Sirinukunwattana, Bin Li, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103437-103437
Closed Access
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