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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:

Applications of Artificial Intelligence Based on Medical Imaging in Glioma: Current State and Future Challenges
Jiaona Xu, Yuting Meng, Kefan Qiu, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 17

Showing 17 citing articles:

Magnetic Resonance Imaging of Primary Adult Brain Tumors: State of the Art and Future Perspectives
Matia Martucci, Rosellina Russo, Francesco Schimperna, et al.
Biomedicines (2023) Vol. 11, Iss. 2, pp. 364-364
Open Access | Times Cited: 33
Artificial intelligence: revolutionizing robotic surgery: review
Muhammad Iftikhar, Muhammad Saqib, Muhammad Zareen, et al.
Annals of Medicine and Surgery (2024) Vol. 86, Iss. 9, pp. 5401-5409
Open Access | Times Cited: 7
Deciphering Glioblastoma: Fundamental and Novel Insights into the Biology and Therapeutic Strategies of Gliomas
Răzvan Onciul, Felix-Mircea Brehar, Corneliu Toader, et al.
Current Issues in Molecular Biology (2024) Vol. 46, Iss. 3, pp. 2402-2443
Open Access | Times Cited: 7
Early Diagnosis of Medical Images in Healthcare Management by Artificial Intelligence
Rakib Hasan, Moddassir Khan Nayeem, P. Santhiya, et al.
Studies in systems, decision and control (2025), pp. 427-440
Closed Access
Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review
Vanesa Pereira‐Prado, Felipe Martins Silveira, Estafanía Sicco, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2416-2416
Open Access | Times Cited: 15
Artificial Intelligence Imaging for Predicting High-risk Molecular Markers of Gliomas
Qian Liang, Jing Hui, Yingbo Shao, et al.
Clinical Neuroradiology (2024) Vol. 34, Iss. 1, pp. 33-43
Closed Access | Times Cited: 3
Brain Tumor Radiogenomic Classification of O6-Methylguanine-DNA Methyltransferase Promoter Methylation in Malignant Gliomas-Based Transfer Learning
Houneida Sakly, Mourad Ben Saïd, Jayne Seekins, et al.
Cancer Control (2023) Vol. 30
Open Access | Times Cited: 7
Marker-controlled watershed algorithm and fuzzy C-means clustering machine learning: automated segmentation of glioblastoma from MRI images in a case series
Sadegh Ghaderi, Sana Mohammadi, Kayvan Ghaderi, et al.
Annals of Medicine and Surgery (2024) Vol. 86, Iss. 3, pp. 1460-1475
Open Access | Times Cited: 2
A hybrid deep learning scheme for MRI-based preliminary multiclassification diagnosis of primary brain tumors
Zhichao Wang, Chuchu He, Yan Hu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Auto-segmentation of Adult-Type Diffuse Gliomas: Comparison of Transfer Learning-Based Convolutional Neural Network Model vs. Radiologists
Qi Wan, Ji‐Soo Kim, Clifford Lindsay, et al.
Deleted Journal (2024)
Open Access | Times Cited: 1
Application and constraints of AI in radiomics and radiogenomics (R-n-R) studies of neuro-oncology
Shovna Panda, Sarthak Padhi, VikasKumar Gupta, et al.
Elsevier eBooks (2024), pp. 267-300
Closed Access | Times Cited: 1
The Current Diagnostic Performance of MRI-Based Radiomics for Glioma Grading: A Meta-Analysis
Lucio De Maria, Francesco Ponzio, Hwan-ho Cho, et al.
Journal of Integrative Neuroscience (2024) Vol. 23, Iss. 5
Open Access | Times Cited: 1
Radiogenomics of adult intracranial gliomas after the 2021 World Health Organisation classification: a review of changes, challenges and opportunities
Arian Lasocki, Samuel Roberts-Thomson, Frank Gaillard
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 11, pp. 7572-7581
Open Access | Times Cited: 3
Current Evidence, Limitations and Future Challenges of Survival Prediction for Glioblastoma Based on Advanced Noninvasive Methods: A Narrative Review
Sergio García-García, Manuel García-Galindo, Ignacio Arrese, et al.
Medicina (2022) Vol. 58, Iss. 12, pp. 1746-1746
Open Access | Times Cited: 4
Advances in Intraoperative Glioma Tissue Sampling and Infiltration Assessment
Nadeem Al-Adli, Jacob S. Young, Katie Scotford, et al.
Brain Sciences (2023) Vol. 13, Iss. 12, pp. 1637-1637
Open Access | Times Cited: 2
A guide to advanced MRI processing for clinical glioma research
Patricia Clement, Soetkin Beun, Fatemehsadat Arzanforoosh, et al.
(2024)
Open Access
Machine Learning and Radiomics in Gliomas
Santiago Cepeda
Advances in experimental medicine and biology (2024), pp. 231-243
Closed Access
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