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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:

A Comparative Study of Radiomics and Deep-Learning Based Methods for Pulmonary Nodule Malignancy Prediction in Low Dose CT Images
Mehdi Astaraki, Guang Yang, Yousuf Zakko, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Radiomics in Early Lung Cancer Diagnosis: From Diagnosis to Clinical Decision Support and Education
Yun-Ju Wu, Fu‐Zong Wu, Shu Ching Yang, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1064-1064
Open Access | Times Cited: 40
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: 17
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124665-124665
Closed Access | Times Cited: 7
A Multichannel CT and Radiomics-Guided CNN-ViT (RadCT-CNNViT) Ensemble Network for Diagnosis of Pulmonary Sarcoidosis
Jianwei Qiu, Jhimli Mitra, Soumya Ghose, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 1049-1049
Open Access | Times Cited: 6
Predicting the risk of type 2 diabetes mellitus (T2DM) emergence in 5 years using mammography images: a comparison study between radiomics and deep learning algorithm
Nishta Letchumanan, Shouhei Hanaoka, Tomomi Takenaga, et al.
Journal of Medical Imaging (2025) Vol. 12, Iss. 01
Closed Access
Real-world radiology data for artificial intelligence-driven cancer support systems and biomarker development
Daniel Navarro-Garcia, Alberto Villanueva Marcos, Regina G. H. Beets‐Tan, et al.
ESMO Real World Data and Digital Oncology (2025) Vol. 8, pp. 100120-100120
Closed Access
Expanding Role of Advanced Image Analysis in CT-detected Indeterminate Pulmonary Nodules and Early Lung Cancer Characterization
Ashley E. Prosper, Michael N. Kammer, Fabien Maldonado, et al.
Radiology (2023) Vol. 309, Iss. 1
Closed Access | Times Cited: 14
Efficient pulmonary nodules classification using radiomics and different artificial intelligence strategies
Mohamed Saied, Mourad R. Mouhamed, Sherif Yehia, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 13
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
PET Radiomics and Response to Immunotherapy in Lung Cancer: A Systematic Review of the Literature
Laura Evangelista, Francesco Fiz, Riccardo Laudicella, et al.
Cancers (2023) Vol. 15, Iss. 12, pp. 3258-3258
Open Access | Times Cited: 11
Automatic Osteoporosis Screening System Using Radiomics and Deep Learning from Low-Dose Chest CT Images
Xiaoyu Tong, Shigeng Wang, Jingyi Zhang, et al.
Bioengineering (2024) Vol. 11, Iss. 1, pp. 50-50
Open Access | Times Cited: 3
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
Clinical radiomics-based machine learning versus three-dimension convolutional neural network analysis for differentiation of thymic epithelial tumors from other prevascular mediastinal tumors on chest computed tomography scan
Chao‐Chun Chang, En‐Kuei Tang, Yufeng Wei, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 8
Development and external validation of a multimodal integrated feature neural network (MIFNN) for the diagnosis of malignancy in small pulmonary nodules (≤10 mm)
Runhuang Yang, Yanfei Zhang, Weiming Li, et al.
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 4, pp. 045008-045008
Closed Access | Times Cited: 1
A Multichannel CT and Radiomics-Guided CNN-ViT (RadCT-CNNViT) Ensemble Network for Diagnosis of Pulmonary Sarcoidosis
Jianwei Qiu, Jhimli Mitra, Soumya Ghose, et al.
(2024)
Open Access | Times Cited: 1
Prospective external validation of radiomics‐based predictive model of distant metastasis after dynamic tumor tracking stereotactic body radiation therapy in patients with non‐small‐cell lung cancer: A multi‐institutional analysis
Takanori Adachi, Mitsuhiro Nakamura, Yukinori Matsuo, et al.
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 10
Open Access | Times Cited: 1
Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging—A Systematic Review
Wilson Ong, Aric Lee, Wei Chuan Tan, et al.
Cancers (2024) Vol. 16, Iss. 17, pp. 2988-2988
Open Access | Times Cited: 1
Pet Radiomics and Response to Immunotherapy in Lung Cancer: A Systematic Review of the Literature
Laura Evangelista, Francesco Fiz, Riccardo Laudicella, et al.
(2023)
Open Access | Times Cited: 3
Artificial intelligence applied to medicine: There is an “elephant in the room”
C. Fiorino, T. Rancati
Physica Medica (2022) Vol. 98, pp. 8-10
Open Access | Times Cited: 5
Application of PET/CT-based deep learning radiomics in head and neck cancer prognosis: a systematic review
Shuyan Li, Jinghua Liu, Zhongxiao Wang, et al.
Radiology Science (2022) Vol. 1, Iss. 1
Open Access | Times Cited: 3
Novel feature extraction based on DCT-DOST features for classification of Digital Breast Tomosynthesis images into benign and malignant tumors
Farangis Sajadi Moghadam, Saeid Rashidi
Research Square (Research Square) (2024)
Open Access
Stability of Radiomic Models and Strategies to Enhance Reproducibility
Ahmad Chaddad, Xiaojuan Liang
IEEE Transactions on Radiation and Plasma Medical Sciences (2024) Vol. 8, Iss. 5, pp. 540-555
Closed Access
EfficientNet-Based System for Detecting EGFR-Mutant Status and Predicting Prognosis of Tyrosine Kinase Inhibitors in Patients with NSCLC
Nan‐Jie Xu, Jiajun Wang, Gang Dai, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1086-1099
Open Access
The Value and Challenges of Radiomics Artificial Intelligence for Magnetic Resonance Based Prostate Cancer Imaging
Jeroen Bleker
(2024)
Open Access
Delineating emotional differences between depressed and non-depressed individuals using a novel multimodal framework
Rupali Gill, Jaiteg Singh, Susheela Hooda, et al.
Multimedia Tools and Applications (2024)
Closed Access
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