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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.

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Showing 9 citing articles:

A novel sub-regional radiomics model to predict immunotherapy response in non-small cell lung carcinoma
Jie Peng, Dan Zou, Xudong Zhang, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 10
Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study
Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Deep learning to estimate durable clinical benefit and prognosis from patients with non-small cell lung cancer treated with PD-1/PD-L1 blockade
Jie Peng, Jing Zhang, Dan Zou, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 11
Artificial intelligence-based immunoprofiling serves as a potentially predictive biomarker of nivolumab treatment for advanced hepatocellular carcinoma
Jan‐Mou Lee, Yi‐Ping Hung, Kai-Yuan Chou, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 6
Easily applicable predictive score for MPR based on parameters before neoadjuvant chemoimmunotherapy in operable NSCLC: a single-center, ambispective, observational study
Mingming Hu, Xiaomi Li, Haifeng Lin, et al.
International Journal of Surgery (2024) Vol. 110, Iss. 4, pp. 2275-2287
Open Access
Determining the prognosis of Lung cancer from mutated genes using a deep learning survival model: a large multi-center study
Jie Peng, Lushan Xiao, Hongbo Zhu, et al.
Cancer Cell International (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Genetic Mutation Signature for Relapse Prediction in Normal Karyotype Acute Myeloid Leukemia
Lijie Han, Jiaying Wu, Xiaodong Lyu, et al.
Research Square (Research Square) (2023)
Open Access
Genetic mutation signature for relapse prediction in normal karyotype acute myeloid leukemia
Lijie Han, Jiaying Wu, Xiaodong Lyu, et al.
Experimental Hematology (2023) Vol. 128, pp. 67-76
Open Access
Development and validation of a prediction model based on two-dimensional dose distribution maps fused with computed tomography images for noninvasive prediction of radiochemotherapy resistance in non-small cell lung cancer
Min Zhang, Ya Li, Yongxiang Hu, et al.
Translational Cancer Research (2023)
Open Access
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