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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:

Radiomics under 2D regions, 3D regions, and peritumoral regions reveal tumor heterogeneity in non-small cell lung cancer: a multicenter study
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
La radiologia medica (2023) Vol. 128, Iss. 9, pp. 1079-1092
Closed Access | Times Cited: 16

Showing 16 citing articles:

Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images
Jun Zhang, Liang Xia, Jiayi Liu, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 6
Non-invasive decision support for clinical treatment of non-small cell lung cancer using a multiscale radiomics approach
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Radiotherapy and Oncology (2024) Vol. 191, pp. 110082-110082
Closed Access | Times Cited: 5
Evaluation of EGFR-TKIs and ICIs treatment stratification in non-small cell lung cancer using an encrypted multidimensional radiomics approach
Xingping Zhang, Xingting Qiu, Yue Zhang, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Short-term intra- and peri-tumoral spatiotemporal CT radiomics for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer
Xiao Bao, Peng Qin, Dongliang Bian, et al.
European Radiology (2025)
Closed Access
The value of intratumoral and peritumoral radiomics features in differentiating early-stage lung invasive adenocarcinoma (≤3 cm) subtypes
Tong Zhou, Minxia Yang, Wanrong Xiong, et al.
Translational Cancer Research (2024) Vol. 13, Iss. 1, pp. 202-216
Open Access | Times Cited: 2
Different radiomics annotation methods comparison in rectal cancer characterisation and prognosis prediction: a two-centre study
Ying Zhu, Yaru Wei, Zhongwei Chen, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
A preoperative radiogenomic model based on quantitative heterogeneity for predicting outcomes in triple-negative breast cancer patients who underwent neoadjuvant chemotherapy
Jiayin Zhou, Yansong Bai, Ying Zhang, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
A comparison of 2D and 3D magnetic resonance imaging-based intratumoral and peritumoral radiomics models for the prognostic prediction of endometrial cancer: a pilot study
Ruixin Yan, Siyuan Qin, Jiajia Xu, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
CT radiomics to predict pathologic complete response after neoadjuvant immunotherapy plus chemoradiotherapy in locally advanced esophageal squamous cell carcinoma
Liqiang Shi, Chengqiang Li, Yaya Bai, et al.
European Radiology (2024)
Closed Access | Times Cited: 1
Predictive Performance of Radiomic Features Extracted from Breast MR Imaging in Postoperative Upgrading of Ductal Carcinoma <i>in Situ</i> to Invasive Carcinoma
Hiroko Satake, Fumie Kinoshita, Satoko Ishigaki, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access
GWO+RuleFit: rule-based explainable machine-learning combined with heuristics to predict mid-treatment FDG PET response to chemoradiation for locally advanced non-small cell lung cancer
Chunyan Duan, Qiantuo Liu, Jiajie Wang, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 15, pp. 155018-155018
Closed Access
The clinical value of predicting lymphovascular invasion in patients with invasive lung adenocarcinoma based on the intratumoral and peritumoral CT radiomics models
Miaomiao LIN, Chunli Zhao, haipeng huang, et al.
Research Square (Research Square) (2024)
Open Access
Pan-cancer analysis of m1A writer gene RRP8: implications for immune infiltration and prognosis in human cancers
Zhihui Huang, Koo Han Yoo, Duohui Li, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access
Intratumoral and peritumoral radiomics model for the preoperative prediction of cribriform component in invasive lung adenocarcinoma: a multicenter study
Miaomiao Lin, Kai Li, Yanni Zou, et al.
Clinical & Translational Oncology (2024)
Closed Access
Artificial intelligence in fracture detection on radiographs: a literature review
Antonio Lo Mastro, Enrico Grassi, Daniela Berritto, et al.
Japanese Journal of Radiology (2024)
Closed Access
Unveiling the Pandemic’s Impact: A Dataset for Probing COVID-19’s Effects on E-Learning Activities and Academic Performance
Yanjun Liu, Daizhong Luo, Kate Wang, et al.
Lecture notes in computer science (2023), pp. 149-160
Closed 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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