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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:

Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation
Jiawei Zhang, Yanchun Zhang, Yuzhen Jin, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Closed Access | Times Cited: 78
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: 55
Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024
Alessandro Carriero, Léon Groenhoff, Elizaveta Vologina, et al.
Diagnostics (2024) Vol. 14, Iss. 8, pp. 848-848
Open Access | Times Cited: 13
Interstitial lung disease diagnosis and prognosis using an AI system integrating longitudinal data
Xueyan Mei, Zelong Liu, Ayushi Singh, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 23
Artificial Intelligence and Interstitial Lung Disease
Ethan Dack, Andreas Christe, Matthias Fontanellaz, et al.
Investigative Radiology (2023)
Open Access | Times Cited: 21
Artificial Intelligence-Based Treatment Decisions: A New Era for NSCLC
Oraianthi Fiste, Ioannis Gkiozos, Andriani Charpidou, et al.
Cancers (2024) Vol. 16, Iss. 4, pp. 831-831
Open Access | Times Cited: 11
AI-Driven Models for Diagnosing and Predicting Outcomes in Lung Cancer: A Systematic Review and Meta-Analysis
Mohammed Kanan Alshammari, Hajar Alharbi, Nawaf M. Alotaibi, et al.
Cancers (2024) Vol. 16, Iss. 3, pp. 674-674
Open Access | Times Cited: 10
Advancing Precision Medicine: Algebraic Topology and Differential Geometry in Radiology and Computational Pathology
Richard M. Levenson, Yashbir Singh, Bastian Rieck, et al.
Laboratory Investigation (2024) Vol. 104, Iss. 6, pp. 102060-102060
Open Access | Times Cited: 6
The accuracy of radiomics in diagnosing tumor deposits and perineural invasion in rectal cancer: a systematic review and meta-analysis
Xuewu Liu, Lin Feng, Danni Li, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access
The role of Artificial Intelligence in detecting breast lesions using ultrasound
Daria Ziemińska, Karina Motolko, Rafał Burczyk, et al.
Quality in Sport (2025) Vol. 37, pp. 57301-57301
Open Access
Enhanced Lung Cancer Survival Prediction Using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets
Mohammad R. Salmanpour, Arman Gorji, Amin Mousavi, et al.
Cancers (2025) Vol. 17, Iss. 2, pp. 285-285
Open Access
Deep Learning and Radiomics in Triple-Negative Breast Cancer: Predicting Long-Term Prognosis and Clinical Outcomes
Cheng Chen, Yan Wang, Jun Zhao, et al.
Journal of Multidisciplinary Healthcare (2025) Vol. Volume 18, pp. 319-327
Open Access
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
Application of radiomics in acute and severe non-neoplastic diseases: A literature review
Fang Yu, Qiannan Zhang, Junwei Yan, et al.
Journal of Critical Care (2025) Vol. 87, pp. 155027-155027
Open Access
A Comprehensive Review on the Application of Artificial Intelligence for Predicting Postsurgical Recurrence Risk in Early‐Stage Non‐Small Cell Lung Cancer Using Computed Tomography, Positron Emission Tomography, and Clinical Data
Ghazal Mehri-Kakavand, Sibusiso Mdletshe, Alan Wang
Journal of Medical Radiation Sciences (2025)
Open Access
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation
Jiawei Zhang, Yuzhen Jin, Jilan Xu, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 62
Artificial intelligence in radiotherapy
Guangqi Li, Xin Wu, Xuelei Ma
Seminars in Cancer Biology (2022) Vol. 86, pp. 160-171
Closed Access | Times Cited: 26
Clinical application of AI-based PET images in oncological patients
Jiaona Dai, Hui Wang, Yuchao Xu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 124-142
Closed Access | Times Cited: 18
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: 15
Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics
Bao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomić, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 15
Differential diagnosis of benign and malignant vertebral compression fractures: Comparison and correlation of radiomics and deep learning frameworks based on spinal CT and clinical characteristics
Shuo Duan, Yichun Hua, Guanmei Cao, et al.
European Journal of Radiology (2023) Vol. 165, pp. 110899-110899
Closed Access | Times Cited: 14
Dung Beetle Optimization with Deep Feature Fusion Model for Lung Cancer Detection and Classification
Mohammad Alamgeer, Nuha Alruwais, Haya Mesfer Alshahrani, et al.
Cancers (2023) Vol. 15, Iss. 15, pp. 3982-3982
Open Access | Times Cited: 14
Exploring non-invasive precision treatment in non-small cell lung cancer patients through deep learning radiomics across imaging features and molecular phenotypes
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Biomarker Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Role of Machine Learning in Precision Oncology: Applications in Gastrointestinal Cancers
Azadeh Tabari, Shin Mei Chan, Omar M. Omar, et al.
Cancers (2022) Vol. 15, Iss. 1, pp. 63-63
Open Access | Times Cited: 23
Automatic detection of cognitive impairment in patients with white matter hyperintensity and causal analysis of related factors using artificial intelligence of MRI
Junbang Feng, Dongming Hui, Qingqing Zheng, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108684-108684
Closed Access | Times Cited: 3
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