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 and Artificial Intelligence Can Predict Malignancy of Solitary Pulmonary Nodules in the Elderly
Stefano Elia, Eugenio Pompeo, Antonella Santone, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 384-384
Open Access | Times Cited: 8
Stefano Elia, Eugenio Pompeo, Antonella Santone, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 384-384
Open Access | Times Cited: 8
Showing 8 citing articles:
A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer
Serafeim‐Chrysovalantis Kotoulas, Dionysios Spyratos, Κonstantinos Porpodis, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 882-882
Open Access
Serafeim‐Chrysovalantis Kotoulas, Dionysios Spyratos, Κonstantinos Porpodis, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 882-882
Open Access
One Scan, Multiple Insights: A Review of AI-Driven Biomarker Imaging and Composite Measure Detection in Lung Cancer Screening
Sunil Verma, Leander Maerkisch, Alberto Paderno, et al.
Meta-Radiology (2025), pp. 100124-100124
Open Access
Sunil Verma, Leander Maerkisch, Alberto Paderno, et al.
Meta-Radiology (2025), pp. 100124-100124
Open Access
Transfer-Learning Deep Radiomics and Hand-Crafted Radiomics for Classifying Lymph Nodes from Contrast-Enhanced Computed Tomography in Lung Cancer
Fabian Christopher Laqua, Piotr Woźnicki, Thorsten Alexander Bley, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2850-2850
Open Access | Times Cited: 8
Fabian Christopher Laqua, Piotr Woźnicki, Thorsten Alexander Bley, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2850-2850
Open Access | Times Cited: 8
Prediction of the Benign or Malignant Nature of Pulmonary Pure Ground-Glass Nodules Based on Radiomics Analysis of High-Resolution Computed Tomography Images
Xiaoxia Ping, Nan Jiang, Qian Meng, et al.
Tomography (2024) Vol. 10, Iss. 7, pp. 1042-1053
Open Access | Times Cited: 1
Xiaoxia Ping, Nan Jiang, Qian Meng, et al.
Tomography (2024) Vol. 10, Iss. 7, pp. 1042-1053
Open Access | Times Cited: 1
PET/CT radiomics and deep learning in the diagnosis of benign and malignant pulmonary nodules: progress and challenges
Yan Sun, Xinyu Ge, Rong Niu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Yan Sun, Xinyu Ge, Rong Niu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Lung Cancer Surgery in Octogenarians: Implications and Advantages of Artificial Intelligence in the Preoperative Assessment
Massimiliano Bassi, Rita Vaz Sousa, Beatrice Zacchini, et al.
Healthcare (2024) Vol. 12, Iss. 7, pp. 803-803
Open Access
Massimiliano Bassi, Rita Vaz Sousa, Beatrice Zacchini, et al.
Healthcare (2024) Vol. 12, Iss. 7, pp. 803-803
Open Access
Peri- and intra-nodular radiomic features based on 18F-FDG PET/CT to distinguish lung adenocarcinomas from pulmonary granulomas
Congna Tian, Yujing Hu, Shuheng Li, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Congna Tian, Yujing Hu, Shuheng Li, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Deep learning-assisted development and validation of an algorithm for predicting the growth of persistent pure ground-glass nodules
Yanhua Tang, Minzhen Li, Benke Lin, et al.
Translational Lung Cancer Research (2023) Vol. 12, Iss. 12, pp. 2494-2504
Open Access | Times Cited: 1
Yanhua Tang, Minzhen Li, Benke Lin, et al.
Translational Lung Cancer Research (2023) Vol. 12, Iss. 12, pp. 2494-2504
Open Access | Times Cited: 1
