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 Non-invasive Method to Diagnose Lung Adenocarcinoma
Mengmeng Yan, Weidong Wang
Frontiers in Oncology (2020) Vol. 10
Open Access | Times Cited: 13
Mengmeng Yan, Weidong Wang
Frontiers in Oncology (2020) Vol. 10
Open Access | Times Cited: 13
Showing 13 citing articles:
Feature selection methods and predictive models in CT lung cancer radiomics
Gary Ge, Jie Zhang
Journal of Applied Clinical Medical Physics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 39
Gary Ge, Jie Zhang
Journal of Applied Clinical Medical Physics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 39
Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer
Xing Tang, Xiaopan Xu, Zhiping Han, et al.
BioMedical Engineering OnLine (2020) Vol. 19, Iss. 1
Open Access | Times Cited: 43
Xing Tang, Xiaopan Xu, Zhiping Han, et al.
BioMedical Engineering OnLine (2020) Vol. 19, Iss. 1
Open Access | Times Cited: 43
Application Values of 2D and 3D Radiomics Models Based on CT Plain Scan in Differentiating Benign from Malignant Ovarian Tumors
Shiyun Li, Jiaqi Liu, Yuanhuan Xiong, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 21
Shiyun Li, Jiaqi Liu, Yuanhuan Xiong, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 21
Clinical-Radiomics Nomogram Based on Contrast-Enhanced Ultrasound for Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma
Liqing Jiang, Zijian Zhang, Shiyan Guo, et al.
Cancers (2023) Vol. 15, Iss. 5, pp. 1613-1613
Open Access | Times Cited: 11
Liqing Jiang, Zijian Zhang, Shiyan Guo, et al.
Cancers (2023) Vol. 15, Iss. 5, pp. 1613-1613
Open Access | Times Cited: 11
The predictive accuracy of CT radiomics combined with machine learning in predicting the invasiveness of small nodular lung adenocarcinoma
Rongsheng Liu, Jia Ye, Yang Yu, et al.
Translational Lung Cancer Research (2023) Vol. 12, Iss. 3, pp. 530-546
Open Access | Times Cited: 4
Rongsheng Liu, Jia Ye, Yang Yu, et al.
Translational Lung Cancer Research (2023) Vol. 12, Iss. 3, pp. 530-546
Open Access | Times Cited: 4
Radiomic Analysis of CT Predicts Tumor Response in Human Lung Cancer with Radiotherapy
Mengmeng Yan, Weidong Wang
Journal of Digital Imaging (2020) Vol. 33, Iss. 6, pp. 1401-1403
Open Access | Times Cited: 10
Mengmeng Yan, Weidong Wang
Journal of Digital Imaging (2020) Vol. 33, Iss. 6, pp. 1401-1403
Open Access | Times Cited: 10
Comparison of Comprehensive Morphological and Radiomics Features of Subsolid Pulmonary Nodules to Distinguish Minimally Invasive Adenocarcinomas and Invasive Adenocarcinomas in CT Scan
Lu Qiu, Xiuping Zhang, Haixia Mao, et al.
Frontiers in Oncology (2022) Vol. 11
Open Access | Times Cited: 6
Lu Qiu, Xiuping Zhang, Haixia Mao, et al.
Frontiers in Oncology (2022) Vol. 11
Open Access | Times Cited: 6
Robustness of pulmonary nodule radiomic features on computed tomography as a function of varying radiation dose levels—a multi-dose in vivo patient study
Gijs A. Bartholomeus, Wouter A. C. van Amsterdam, Annemarie M. den Harder, et al.
European Radiology (2023) Vol. 33, Iss. 10, pp. 7044-7055
Open Access | Times Cited: 3
Gijs A. Bartholomeus, Wouter A. C. van Amsterdam, Annemarie M. den Harder, et al.
European Radiology (2023) Vol. 33, Iss. 10, pp. 7044-7055
Open Access | Times Cited: 3
A radiomics model of predicting tumor volume change of patients with stage III non-small cell lung cancer after radiotherapy
Mengmeng Yan, Weidong Wang
Science Progress (2021) Vol. 104, Iss. 1
Open Access | Times Cited: 7
Mengmeng Yan, Weidong Wang
Science Progress (2021) Vol. 104, Iss. 1
Open Access | Times Cited: 7
Value of pre-treatment 18F-FDG PET/CT radiomics in predicting the prognosis of stage III-IV colorectal cancer
Na Wang, Meng Dai, Yan Zhao, et al.
European Journal of Radiology Open (2023) Vol. 10, pp. 100480-100480
Open Access | Times Cited: 2
Na Wang, Meng Dai, Yan Zhao, et al.
European Journal of Radiology Open (2023) Vol. 10, pp. 100480-100480
Open Access | Times Cited: 2
Comparative Investigation of Lung Adenocarcinoma and Squamous Cell Carcinoma Transcriptome to Reveal Potential Candidate Biomarkers: An Explainable AI Approach
Ankur Datta, C. George Priya Doss
Computational Biology and Chemistry (2024) Vol. 115, pp. 108333-108333
Closed Access
Ankur Datta, C. George Priya Doss
Computational Biology and Chemistry (2024) Vol. 115, pp. 108333-108333
Closed Access
Narrative review of radiomics for classifying pulmonary nodules and potential impact on lung cancer screening
Matthew J. Stephens
Current Challenges in Thoracic Surgery (2023) Vol. 5, pp. 4-4
Open Access | Times Cited: 1
Matthew J. Stephens
Current Challenges in Thoracic Surgery (2023) Vol. 5, pp. 4-4
Open Access | Times Cited: 1
A T2 Weighted Imaging-based Radiomics Nomogram for the Classification of Hepatic Blood-rich Lesions: Hepatocellular Carcinoma and Benign Liver Lesions
Chen Long Yang, Fandong Zhu, Yang Xia, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Chen Long Yang, Fandong Zhu, Yang Xia, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
