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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:

Multitask Learning Radiomics on Longitudinal Imaging to Predict Survival Outcomes following Risk-Adaptive Chemoradiation for Non-Small Cell Lung Cancer
Parisa Forouzannezhad, Dominic Maes, Daniel S. Hippe, et al.
Cancers (2022) Vol. 14, Iss. 5, pp. 1228-1228
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Radiomics and artificial intelligence for precision medicine in lung cancer treatment
Mitchell Chen, Susan J. Copley, Patrizia Viola, et al.
Seminars in Cancer Biology (2023) Vol. 93, pp. 97-113
Open Access | Times Cited: 74
Impact of [18F]FDG PET/CT Radiomics and Artificial Intelligence in Clinical Decision Making in Lung Cancer: Its Current Role
Alireza Safarian, Seyed Ali Mirshahvalad, Hadi Nasrollahi, et al.
Seminars in Nuclear Medicine (2025)
Open Access | Times Cited: 5
Radiomics: A review of current applications and possibilities in the assessment of tumor microenvironment
Caiqiang Xue, Qing Zhou, Huaze Xi, et al.
Diagnostic and Interventional Imaging (2022) Vol. 104, Iss. 3, pp. 113-122
Open Access | Times Cited: 36
Current and Future Treatment Options in the Management of Stage III NSCLC
Yuchen Li, Rosalyn A. Juergens, Christian Finley, et al.
Journal of Thoracic Oncology (2023) Vol. 18, Iss. 11, pp. 1478-1491
Open Access | Times Cited: 20
Delta radiomics: an updated systematic review
Valerio Nardone, Alfonso Reginelli, Dino Rubini, et al.
La radiologia medica (2024) Vol. 129, Iss. 8, pp. 1197-1214
Open Access | Times Cited: 6
Radiomics-guided radiation therapy: opportunities and challenges
Hamid Abdollahi, Erika Chin, Haley Clark, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 12, pp. 12TR02-12TR02
Open Access | Times Cited: 20
Longitudinal and Multimodal Radiomics Models for Head and Neck Cancer Outcome Prediction
Sebastian Starke, Alex Zwanenburg, Karoline Leger, et al.
Cancers (2023) Vol. 15, Iss. 3, pp. 673-673
Open Access | Times Cited: 12
Predictive value of 18F-FDG PET/CT-based radiomics model for neoadjuvant chemotherapy efficacy in breast cancer: a multi-scanner/center study with external validation
Kun Chen, Jian Wang, Shuai Li, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2023) Vol. 50, Iss. 7, pp. 1869-1880
Closed Access | Times Cited: 12
The Promise and Future of Radiomics for Personalized Radiotherapy Dosing and Adaptation
Rachel Ger, Lise Wei, Issam El Naqa, et al.
Seminars in Radiation Oncology (2023) Vol. 33, Iss. 3, pp. 252-261
Closed Access | Times Cited: 11
Application of PET imaging delta radiomics for predicting progression-free survival in rare high-grade glioma
Shamimeh Ahrari, Timothée Zaragori, Adeline Zinsz, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Conditional Time Series Modeling for Pneumoconiosis Progression Risk Prediction with Missing Data
Xueting Ren, Zijuan Zhao, Liye Jia, et al.
Cognitive Computation (2025) Vol. 17, Iss. 2
Closed Access
Interpretable Machine Learning for Choosing Radiation Dose-volume Constraints on Cardio-pulmonary Substructures Associated with Overall Survival in NRG Oncology RTOG 0617
Sang Ho Lee, H. Geng, Jacinta Arnold, et al.
International Journal of Radiation Oncology*Biology*Physics (2023) Vol. 117, Iss. 5, pp. 1270-1286
Closed Access | Times Cited: 10
APDF: An active preference-based deep forest expert system for overall survival prediction in gastric cancer
Qiucen Li, Yuheng Wang, Zedong Du, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123131-123131
Closed Access | Times Cited: 2
Effectiveness of CT radiomic features combined with clinical factors in predicting prognosis in patients with limited-stage small cell lung cancer
Jiehan Wu, Yuntao Zhou, Chang Xu, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Prevalence and predictive value of sarcopenia in surgically treated cholangiocarcinoma: a comprehensive review and meta-analysis
Jie He, Yuanyuan Huang, Na Huang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Integrating CT-based radiomic model with clinical features improves long-term prognostication in high-risk prostate cancer
Jerry Chi Fung Ching, Saikit Lam, Cody C. H. Lam, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 5
More than Meets the Eye: Integration of Radiomics with Transcriptomics for Reconstructing the Tumor Microenvironment and Predicting Response to Therapy
Stella Logotheti, Alexandros G. Georgakilas
Cancers (2023) Vol. 15, Iss. 6, pp. 1634-1634
Open Access | Times Cited: 4
What does radiomics do in PD‐L1 blockade therapy of NSCLC patients?
Ruichen Cui, Zhenyu Yang, Lunxu Liu
Thoracic Cancer (2022) Vol. 13, Iss. 19, pp. 2669-2680
Open Access | Times Cited: 6
Methodological evaluation of original articles on radiomics and machine learning for outcome prediction based on positron emission tomography (PET)
Julian M.M. Rogasch, Kuangyu Shi, David Kersting, et al.
Nuklearmedizin - NuclearMedicine (2023) Vol. 62, Iss. 06, pp. 361-369
Open Access | Times Cited: 2
Differentiation of predominantly osteolytic from osteoblastic spinal metastases based on standard magnetic resonance imaging sequences: a comparison of radiomics model versus semantic features logistic regression model findings
Ke Liu, Yang Zhang, Qizheng Wang, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 11, pp. 5004-5017
Open Access | Times Cited: 3
Treatment Response Biomarkers: Working Toward Personalized Radiotherapy for Lung Cancer
Ashley Horne, Ken Harada, Katherine D. Brown, et al.
Journal of Thoracic Oncology (2024) Vol. 19, Iss. 8, pp. 1164-1185
Open Access
A2HTL: An Automated Hybrid Transformer Based Learning for Predicting Survival of Esophageal Cancer Using CT Images
Hailin Yue, Jin Liu, Lina Zhao, et al.
IEEE Transactions on NanoBioscience (2024) Vol. 23, Iss. 4, pp. 548-555
Closed Access
Using high-repeatable radiomic features improves the cross-institutional generalization of prognostic model in esophageal squamous cell cancer receiving definitive chemoradiotherapy
Jie Gong, Qifeng Wang, Jie Li, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access
Multi-task Learning for Lung Sound and Lung Disease Classification
K Suma, Deepali Koppad, Preethi Kumar, et al.
SN Computer Science (2024) Vol. 6, Iss. 1
Closed Access
Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Lecture notes in computer science (2023), pp. 309-320
Closed Access | Times Cited: 1
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