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:

Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

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: 12

Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
Andrew H. Song, Richard J. Chen, Tong Ding, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 3, pp. 11566-11578
Closed Access | Times Cited: 7

Self-Supervised Learning Reveals Clinically Relevant Histomorphological Patterns for Therapeutic Strategies in Colon Cancer
Bojing Liu, Meaghan Polack, Nicolas Coudray, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6

Self-Supervised Learning Can Distinguish Myelodysplastic Neoplasms from Clinical Mimics Using Bone Marrow Biopsies
Vahid Mehrtash, Hortense Le, Bita Jafarzadeh, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

Self-supervised learning reveals clinically relevant histomorphological patterns for therapeutic strategies in colon cancer
Bojing Liu, Meaghan Polack, Nicolas Coudray, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Artificial intelligence in lung cancer: current applications, future perspectives, and challenges
Dongdong Huang, Zifang Li, Tao Jiang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1

Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
Xiaoge Zhang, Tao Wang, Chao Yan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Integrated multicenter deep learning system for prognostic prediction in bladder cancer
Quanhao He, Bangxin Xiao, Yiwen Tan, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access

Deep learning model for automated diagnosis of moyamoya disease based on magnetic resonance angiography
Mingming Lu, Yijia Zheng, Shitong Liu, et al.
EClinicalMedicine (2024) Vol. 77, pp. 102888-102888
Open Access

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