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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:

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: 9

Showing 9 citing articles:

Convergence of evolving artificial intelligence and machine learning techniques in precision oncology
Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 4
Integration of Deep Learning and Sub-regional Radiomics Improves the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Patients
Xuan Wu, Jinyong Wang, Chao Chen, et al.
Academic Radiology (2025)
Open Access
Predicting the early therapeutic response to hepatic artery infusion chemotherapy in patients with unresectable HCC using a contrast-enhanced computed tomography-based habitat radiomics model: a multi-center retrospective study
Mingsong Wu, Zenglong Que, Shujie Lai, et al.
Cellular Oncology (2025)
Open Access
From images to clinical insights: an educational review on radiomics in lung diseases
C. Magnin, David Lauer, Michael Ammeter, et al.
Breathe (2025) Vol. 21, Iss. 1, pp. 230225-230225
Open Access
Quantification of Intratumoral Heterogeneity Based on Habitat Analysis for Preoperative Assessment of Lymphovascular Invasion in Colorectal Cancer
Yexin Su, Hongyue Zhao, Zhehao Lyu, et al.
Academic Radiology (2025)
Open Access
From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients
Yusheng Guo, Tianxiang Li, Bingxin Gong, et al.
Advanced Science (2024) Vol. 12, Iss. 2
Open Access | Times Cited: 3
Sub-regional CT Radiomics for the Prediction of Ki-67 Proliferation Index in Gastrointestinal Stromal Tumors: A Multi-center Study
Wemin Cai, Kun Guo, Yongxian Chen, et al.
Academic Radiology (2024) Vol. 31, Iss. 12, pp. 4974-4984
Closed Access | Times Cited: 1
[Advancements in Radiomics for Immunotherapy of Non-small Cell Lung Cancer].
Yue Hou, Tianming Zhang, Hong Wang
PubMed (2024) Vol. 27, Iss. 8, pp. 637-644
Closed Access
Computed tomography radiomics reveals prognostic value of immunophenotyping in laryngeal squamous cell carcinoma: a comparison of whole tumor- versus habitats-based approaches
Meng Qi, Weiding Zhou, Ying Yuan, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
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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