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:
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
Ruitian Gao, Xin Yuan, Yanran Ma, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 5, pp. 101536-101536
Open Access | Times Cited: 9
Showing 9 citing articles:
Artificial Intelligence in Gastrointestinal Cancer Research: Image Learning Advances and Applications
Shengyuan Zhou, Yi Xie, Xujiao Feng, et al.
Cancer Letters (2025) Vol. 614, pp. 217555-217555
Closed Access | Times Cited: 1
Shengyuan Zhou, Yi Xie, Xujiao Feng, et al.
Cancer Letters (2025) Vol. 614, pp. 217555-217555
Closed Access | Times Cited: 1
Artificial intelligence in gastrointestinal cancers: diagnostic, prognostic, and surgical strategies
Ganji Purnachandra Nagaraju, T A Sandhya, Mundla Srilatha, et al.
Cancer Letters (2025) Vol. 612, pp. 217461-217461
Closed Access
Ganji Purnachandra Nagaraju, T A Sandhya, Mundla Srilatha, et al.
Cancer Letters (2025) Vol. 612, pp. 217461-217461
Closed Access
Intratumoral microbiota, fatty acid metabolism, and tumor microenvironment constitute an unresolved trinity in colon adenocarcinoma
G Liu, K. Liu, Lei Ji, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
G Liu, K. Liu, Lei Ji, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A large histological images dataset of gastric cancer with tumour microenvironment annotation for AI
Shenghan Lou, Jianxin Ji, Huiying Li, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Shenghan Lou, Jianxin Ji, Huiying Li, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Advances in the Application of Deep Learning in Prognostic Models for Non-Small Cell Lung Cancer
Fengxia Chen
Health (2025) Vol. 17, Iss. 03, pp. 172-182
Open Access
Fengxia Chen
Health (2025) Vol. 17, Iss. 03, pp. 172-182
Open Access
Artificial intelligence: illuminating the depths of the tumor microenvironment
Ting Xie, Aoling Huang, Honglin Yan, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2
Ting Xie, Aoling Huang, Honglin Yan, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2
Spatial transcriptomics in breast cancer: providing insight into tumor heterogeneity and promoting individualized therapy
Junsha An, Yajie Lu, Yuxi Chen, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1
Junsha An, Yajie Lu, Yuxi Chen, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1
Genomics-Guided Representation Learning for Pathologic Pan-Cancer Tumor Microenvironment Subtype Prediction
Fangliangzi Meng, Hongrun Zhang, Ruodan Yan, et al.
Lecture notes in computer science (2024), pp. 206-216
Closed Access
Fangliangzi Meng, Hongrun Zhang, Ruodan Yan, et al.
Lecture notes in computer science (2024), pp. 206-216
Closed Access
sCellST: a Multiple Instance Learning approach to predict single-cell gene expression from H&E images using spatial transcriptomics
Loïc Chadoutaud, Marvin Lerousseau, Daniel Herrero-Saboya, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Loïc Chadoutaud, Marvin Lerousseau, Daniel Herrero-Saboya, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
