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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:

Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain
Anuj Kumar, Ashish Kumar Jha, Jai Prakash Agarwal, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 6, pp. 920-920
Open Access | Times Cited: 18

Showing 18 citing articles:

Neuroimage analysis using artificial intelligence approaches: a systematic review
Eric Jacob Bacon, Dianning He, N'bognon Angèle D'avilla Achi, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 9, pp. 2599-2627
Closed Access | Times Cited: 5
Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review
Filip Orzan, Ștefania D. Iancu, Laura Dioşan, et al.
Frontiers in Neuroscience (2025) Vol. 18
Open Access
Multi-parametric MRI combined with radiomics for the diagnosis and grading of endometrial fibrosis
Huanhuan Wang, Li Zhu, Hui Zhu, et al.
Abdominal Radiology (2025)
Closed Access
Predicting microvascular invasion in solitary hepatocellular carcinoma: a multi-center study integrating clinical, MRI assessments, and radiomics indicators
Jian Wang, Lin Zhan, Lin Zhaowang, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Combinations of Methodological Enhancements on the Predictive Ability of Machine Learning Models in Glioma Grading Classification
Dana O. Mohamed, May Ann Grace P. Palisoc, Rui Tan, et al.
Smart innovation, systems and technologies (2025), pp. 285-297
Closed Access
The importance of planning CT-based imaging features for machine learning-based prediction of pain response
Óscar Llorián-Salvador, Joachim Akhgar, Steffi Pigorsch, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Prediction of early recurrence of adult‐type diffuse gliomas following radiotherapy using multi‐modal magnetic resonance images
Elahheh Salari, Xuxin Chen, Jacob Wynne, et al.
Medical Physics (2024)
Open Access | Times Cited: 1
Deep Learning and Habitat Radiomics for the Prediction of Glioma Pathology Using Multiparametric MRI: A Multicenter Study
Yunyang Zhu, Jing Wang, Chen Xue, et al.
Academic Radiology (2024)
Closed Access | Times Cited: 1
Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences
Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Kalantzopoulos, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Explainable AI-based method for brain abnormality diagnostics using MRI
Mohamed Hosny, Ahmed M. Elshenhab, Ahmed Maged
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107184-107184
Closed Access | Times Cited: 1
Quality Assessment of MRI-Radiomics-Based Machine Learning Methods in Classification of Brain Tumors: Systematic Review
Shailesh Nayak, Saikiran Pendem, Girish Menon, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2741-2741
Open Access | Times Cited: 1
Association between neural prosody discrimination and language abilities in toddlers: a functional near-infrared spectroscopy study
YanRu Guo, Yanwei Li, FuLin Liu, et al.
BMC Pediatrics (2024) Vol. 24, Iss. 1
Open Access
Accurate low and high grade glioma classification using free water eliminated diffusion tensor metrics and ensemble machine learning
Sreejith Vidyadharan, B. V. V. S. N. Prabhakar Rao, Perumal Yogeeswari, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Advancing Glioblastoma Treatment Through AI-Driven Radiomics: A Comparative Study of Feature Selection and Machine Learning Techniques
V. L. Sowmya, A. Bharathi Malakreddy, Santhi Natarajan, et al.
(2024), pp. 43-62
Closed Access
Enhancing Clinical Decision-Making: An Externally Validated Machine Learning Model for Predicting IDH Mutation in Gliomas using Radiomics from Pre-Surgical MRI
Jan Lost, Nader Ashraf, Leon Jekel, et al.
Neuro-Oncology Advances (2024) Vol. 6, Iss. 1
Open Access
Multi-parametric MRI combined with radiomics for the diagnosis and grading of endometrial fibrosis
Huanhuan Wang, Li Zhu, Hui Zhu, et al.
Research Square (Research Square) (2024)
Open Access
Survival estimation of brain tumor patients using radiogenomics-based studies
Soumyaranjan Panda, K.P. Padhi, K. Behera, et al.
Elsevier eBooks (2024), pp. 137-166
Closed Access
Machine Learning Approaches for Brain Tumor Classification in Multimodal MR Images
V. L. Sowmya, A. Bharathi Malakreddy, Santhi Natarajan, et al.
Studies in systems, decision and control (2024), pp. 137-152
Closed Access
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