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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:

Diagnostic Accuracy of Deep Learning and Radiomics in Lung Cancer Staging: A Systematic Review and Meta-Analysis
Xiushan Zheng, Bo He, Yunhai Hu, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Radiomics and Its Feature Selection: A Review
Wenchao Zhang, Yu Guo, Qiyu Jin
Symmetry (2023) Vol. 15, Iss. 10, pp. 1834-1834
Open Access | Times Cited: 43
Deep learning in ovarian cancer diagnosis: a comprehensive review of various imaging modalities
Mohammad Hossein Sadeghi, Sedigheh Sina, Hamid Omidi, et al.
Polish Journal of Radiology (2024) Vol. 89, pp. 30-48
Open Access | Times Cited: 16
A Systematic Review on Artificial Intelligence Evaluating Metastatic Prostatic Cancer and Lymph Nodes on PSMA PET Scans
Jianliang Liu, Thomas P. Cundy, Dixon Woon, et al.
Cancers (2024) Vol. 16, Iss. 3, pp. 486-486
Open Access | Times Cited: 9
Current progress in artificial intelligence-assisted medical image analysis for chronic kidney disease: A literature review
Dan Zhao, Wei Wang, Tian Tang, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 3315-3326
Open Access | Times Cited: 17
Radiomics diagnostic performance in predicting lymph node metastasis of papillary thyroid carcinoma: A systematic review and meta-analysis
Zanyar HajiEsmailPoor, Zana Kargar, Peyman Tabnak
European Journal of Radiology (2023) Vol. 168, pp. 111129-111129
Closed Access | Times Cited: 17
How AI and Robotics Will Advance Interventional Radiology: Narrative Review and Future Perspectives
Jiaming Zhang, Jiayi Fang, Yanneng Xu, et al.
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1393-1393
Open Access | Times Cited: 7
Systematic review and meta-analysis of deep learning applications in computed tomography lung cancer segmentation
Tingwei Wang, Jia‐Sheng Hong, Jing-Wen Huang, et al.
Radiotherapy and Oncology (2024) Vol. 197, pp. 110344-110344
Closed Access | Times Cited: 6
Radiomics-based hybrid model for predicting radiation pneumonitis: A systematic review and meta-analysis
Heesoon Sheen, Wonyoung Cho, Changhwan Kim, et al.
Physica Medica (2024) Vol. 123, pp. 103414-103414
Open Access | Times Cited: 5
Prognostic Value of 18F-FDG PET/CT Radiomics in Extranodal Nasal-Type NK/T Cell Lymphoma
Yu Luo, Zhun Huang, Zihan Gao, et al.
Korean Journal of Radiology (2024) Vol. 25, Iss. 2, pp. 189-189
Open Access | Times Cited: 4
Automated segmentation and volume prediction in pediatric Wilms’ tumor CT using nnu-net
Weikang Li, Yiran Sun, Guoxun Zhang, et al.
BMC Pediatrics (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
How AI and Robotics Will Advance Interventional Radiology: A Narrative Review and Future Perspectives
Jiaming Zhang, Jiayi Fang, Yanneng XU, et al.
(2024)
Open Access | Times Cited: 4
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
Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews
Haishan Xu, Ting‐Ting Gong, Xin‐Jian Song, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e53567-e53567
Open Access
Multiscale Three‐Dimensional Features and Spatial Feature Evaluation of Human Pulmonary Tuberculosis
Xiaojiang Zhao, Yun Ding, Bowen Zhang, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 3
Open Access
Artificial Intelligence in Thoracic Surgery: A Review Bridging Innovation and Clinical Practice for the Next Generation of Surgical Care
Vasileios Leivaditis, Andreas Maniatopoulos, Henning Lausberg, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 8, pp. 2729-2729
Open Access
Machine Learning in Diagnosis and Prognosis of Lung Cancer by PET-CT
Lili Yuan, Lin An, Yandong Zhu, et al.
Cancer Management and Research (2024) Vol. Volume 16, pp. 361-375
Open Access | Times Cited: 3
Benefits of Information Technology in Healthcare: Artificial Intelligence, Internet of Things, and Personal Health Records
Hyejung Chang, Jae-Young Choi, Jaesun Shim, et al.
Healthcare Informatics Research (2023) Vol. 29, Iss. 4, pp. 323-333
Open Access | Times Cited: 7
Evaluation of Pulmonary Nodules by Radiologists vs. Radiomics in Stand-Alone and Complementary CT and MRI
Eric Tietz, Gustav Müller‐Franzes, Markus Zimmermann, et al.
Diagnostics (2024) Vol. 14, Iss. 5, pp. 483-483
Open Access | Times Cited: 1
Different machine learning methods based on maxillary sinus in sex estimation for northwestern Chinese Han population
Yuxin Guo, Jun-Long Lan, Yuxuan Song, et al.
International Journal of Legal Medicine (2024) Vol. 138, Iss. 5, pp. 2147-2155
Closed Access | Times Cited: 1
The role of radiomics for predicting of lymph-vascular space invasion in cervical cancer patients based on artificial intelligence: a systematic review and meta-analysis
Mengli Zhao, Zhen Li, X. Gu, et al.
Journal of Gynecologic Oncology (2024) Vol. 36
Closed Access | Times Cited: 1
Revolutionizing early Alzheimer's disease and mild cognitive impairment diagnosis: a deep learning MRI meta-analysis
Li-xue Wang, Y. Wang, C.H. Han, et al.
Arquivos de Neuro-Psiquiatria (2024) Vol. 82, Iss. 08, pp. 001-010
Open Access | Times Cited: 1
“Application of CT radiomics in brain metastasis of lung cancer: A systematic review and meta-analysis”
Ting Li, Tian Gan, Jingting Wang, et al.
Clinical Imaging (2024) Vol. 114, pp. 110275-110275
Closed Access | Times Cited: 1
Diagnostic accuracy of CT and PET/CT radiomics in predicting lymph node metastasis in non-small cell lung cancer
Yuepeng Li, Junyue Deng, Xuelei Ma, et al.
European Radiology (2024)
Closed Access | Times Cited: 1
Review of meta-analyses on the use of artificial intelligence in radiology
Yu.A. Vasilev, A. V. Vladzimirskyy, Olga V. Omelyanskaya, et al.
Medical Visualization (2024) Vol. 28, Iss. 3, pp. 22-41
Closed Access | Times Cited: 1
Advances in medical image analysis: A comprehensive survey of lung infection detection
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, et al.
IET Image Processing (2024) Vol. 18, Iss. 13, pp. 3750-3800
Open Access | Times Cited: 1
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