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 novel analytical framework for risk stratification of real‐world data using machine learning: A small cell lung cancer study
Luca Marzano, Adam S. Darwich, Salomon Tendler, et al.
Clinical and Translational Science (2022) Vol. 15, Iss. 10, pp. 2437-2447
Open Access | Times Cited: 8
Luca Marzano, Adam S. Darwich, Salomon Tendler, et al.
Clinical and Translational Science (2022) Vol. 15, Iss. 10, pp. 2437-2447
Open Access | Times Cited: 8
Showing 8 citing articles:
Artificial Intelligence in the Diagnosis and Treatment of Pancreatic Cystic Lesions and Adenocarcinoma
Joanna Jiang, Wei‐Lun Chao, Stacey Culp, et al.
Cancers (2023) Vol. 15, Iss. 9, pp. 2410-2410
Open Access | Times Cited: 19
Joanna Jiang, Wei‐Lun Chao, Stacey Culp, et al.
Cancers (2023) Vol. 15, Iss. 9, pp. 2410-2410
Open Access | Times Cited: 19
Machine learning insights into early mortality risks for small cell lung cancer patients post-chemotherapy
Min Liang, Fan Luo
Frontiers in Medicine (2025) Vol. 12
Open Access
Min Liang, Fan Luo
Frontiers in Medicine (2025) Vol. 12
Open Access
Integrating machine learning with pharmacokinetic models: Benefits of scientific machine learning in adding neural networks components to existing PK models
Diego Valderrama, Ana Victoria Ponce Bobadilla, Sven Mensing, et al.
CPT Pharmacometrics & Systems Pharmacology (2023) Vol. 13, Iss. 1, pp. 41-53
Open Access | Times Cited: 9
Diego Valderrama, Ana Victoria Ponce Bobadilla, Sven Mensing, et al.
CPT Pharmacometrics & Systems Pharmacology (2023) Vol. 13, Iss. 1, pp. 41-53
Open Access | Times Cited: 9
Exploring the discrepancies between clinical trials and real‐world data: A small‐cell lung cancer study
Luca Marzano, Adam S. Darwich, Asaf Dan, et al.
Clinical and Translational Science (2024) Vol. 17, Iss. 8
Open Access | Times Cited: 2
Luca Marzano, Adam S. Darwich, Asaf Dan, et al.
Clinical and Translational Science (2024) Vol. 17, Iss. 8
Open Access | Times Cited: 2
Interpretable deep learning survival predictive tool for small cell lung cancer
Dongrui Zhang, Baohua Lu, Bowen Liang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 5
Dongrui Zhang, Baohua Lu, Bowen Liang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 5
Application of Process Mining for Modelling Small Cell Lung Cancer Prognosis
Luca Marzano, Sebastiaan Meijer, Asaf Dan, et al.
Studies in health technology and informatics (2023)
Open Access
Luca Marzano, Sebastiaan Meijer, Asaf Dan, et al.
Studies in health technology and informatics (2023)
Open Access
Comparative efficacy and safety of anlotinib and topotecan as second-line treatment in small cell lung cancer: a retrospective cohort study
Yang Du, Xiaoyan Liu, Xiaoyan Si, et al.
Translational Lung Cancer Research (2023)
Open Access
Yang Du, Xiaoyan Liu, Xiaoyan Si, et al.
Translational Lung Cancer Research (2023)
Open Access
