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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:

Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas
Lei Chen, Han Zhang, Junfeng Lu, et al.
IEEE Transactions on Medical Imaging (2018) Vol. 37, Iss. 8, pp. 1775-1787
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review
Quinlan D. Buchlak, Nazanin Esmaili, Jean‐Christophe Leveque, et al.
Journal of Clinical Neuroscience (2021) Vol. 89, pp. 177-198
Closed Access | Times Cited: 86
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients
Zhenyu Tang, Yuyun Xu, Lei Jin, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 6, pp. 2100-2109
Open Access | Times Cited: 75
Machine Learning for the Prediction of Molecular Markers in Glioma on Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis
Anne Jian, Kevin Jang, Maurizio Manuguerra, et al.
Neurosurgery (2021) Vol. 89, Iss. 1, pp. 31-44
Closed Access | Times Cited: 59
A survey on multi-label feature selection from perspectives of label fusion
Wenbin Qian, Jintao Huang, Fankang Xu, et al.
Information Fusion (2023) Vol. 100, pp. 101948-101948
Closed Access | Times Cited: 38
A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images
Yuan Gao, Yingchao Liu, Yuanyuan Wang, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 38, Iss. 9, pp. 2059-2069
Closed Access | Times Cited: 50
MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection
Xubin Wang, Haojiong Shangguan, Feng-Yi Huang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 8, pp. 4020-4033
Open Access | Times Cited: 6
A subregion-based RadioFusionOmics model discriminates between grade 4 astrocytoma and glioblastoma on multisequence MRI
Ruili Wei, Songlin Lu, Shengsheng Lai, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 2
Open Access | Times Cited: 5
Diagnostic accuracy and potential covariates for machine learning to identify IDH mutations in glioma patients: evidence from a meta-analysis
Jing Zhao, Yingqian Huang, Yukun Song, et al.
European Radiology (2020) Vol. 30, Iss. 8, pp. 4664-4674
Closed Access | Times Cited: 35
Accuracy of Radiomics in Predicting IDH Mutation Status in Diffuse Gliomas: A Bivariate Meta-Analysis
Gianfranco Di Salle, Lorenzo Tumminello, Maria Elena Laino, et al.
Radiology Artificial Intelligence (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 11
Decoding Glioblastoma Heterogeneity: Neuroimaging Meets Machine Learning
Jawad Fares, Yizhou Wan, Roxanne Mayrand, et al.
Neurosurgery (2024)
Open Access | Times Cited: 4
AI-driven estimation of O6 methylguanine-DNA-methyltransferase (MGMT) promoter methylation in glioblastoma patients: a systematic review with bias analysis
Mullapudi Venkata Sai Samartha, Navneet Kumar Dubey, Biswajit Jena, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 2
Open Access | Times Cited: 3
Multi-objective genetic algorithm for multi-view feature selection
Vandad Imani, Carlos Sevilla-Salcedo, Elaheh Moradi, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112332-112332
Open Access | Times Cited: 3
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification
Yang Li, Jingyu Liu, Ziwen Peng, et al.
Neuroinformatics (2019) Vol. 18, Iss. 1, pp. 1-24
Closed Access | Times Cited: 22
Combined Evaluation of T1 and Diffusion MRI Improves the Noninvasive Prediction of H3K27M Mutation in Brainstem Gliomas
Ne Yang, Xiong Xiao, Guocan Gu, et al.
IFMBE proceedings (2024), pp. 197-204
Closed Access | Times Cited: 2
Weakly supervised label distribution learning based on transductive matrix completion with sample correlations
Xiuyi Jia, Tingting Ren, Lei Chen, et al.
Pattern Recognition Letters (2019) Vol. 125, pp. 453-462
Closed Access | Times Cited: 18
Diffusion MRI-based connectomics features improve the noninvasive prediction of H3K27M mutation in brainstem gliomas
Ne Yang, Xiong Xiao, Guocan Gu, et al.
Radiotherapy and Oncology (2023) Vol. 186, pp. 109789-109789
Closed Access | Times Cited: 6
Diagnostic performance of radiomics using machine learning algorithms to predict MGMT promoter methylation status in glioma patients: a meta-analysis
Huan Huang, Feifei Wang, Shigang Luo, et al.
Diagnostic and Interventional Radiology (2021) Vol. 27, Iss. 6, pp. 716-724
Open Access | Times Cited: 11
A Comparison of the Efficiency of Using a Deep CNN Approach with Other Common Regression Methods for the Prediction of EGFR Expression in Glioblastoma Patients
Mohammadreza Hedyehzadeh, Keivan Maghooli, Mohammad Momen Gharibvand, et al.
Journal of Digital Imaging (2019) Vol. 33, Iss. 2, pp. 391-398
Open Access | Times Cited: 10
Exploring instance correlations with local discriminant model for multi-label feature selection
Yuling Fan, Jinghua Liu, Shunxiang Wu
Applied Intelligence (2021) Vol. 52, Iss. 7, pp. 8302-8320
Closed Access | Times Cited: 9
Multi-task regression learning for survival analysis via prior information guided transductive matrix completion
Lei Chen, Kai Shao, Xianzhong Long, et al.
Frontiers of Computer Science (2020) Vol. 14, Iss. 5
Closed Access | Times Cited: 6
Reverse Engineering Glioma Radiomics to Conventional Neuroimaging
Manabu Kinoshita, Yonehiro Kanemura, Yoshitaka Narita, et al.
Neurologia medico-chirurgica (2021) Vol. 61, Iss. 9, pp. 505-514
Open Access | Times Cited: 4
TDABNet: Three-directional attention block network for the determination of IDH status in low- and high-grade gliomas from MRI
Lingmei Ai, Wenhao Bai, Mengge Li
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103574-103574
Closed Access | Times Cited: 3
Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness
Xiaojun Mao, Hengfang Wang, Zhonglei Wang, et al.
Journal of Computational and Graphical Statistics (2024) Vol. 33, Iss. 4, pp. 1320-1328
Open Access
Multi-Objective Genetic Algorithm for Multi-View Feature Selection
Vandad Imani, Carlos Sevilla salcedo, Elaheh Moradi, et al.
(2024)
Open Access
Research Progress of ECG Monitoring Equipment and Algorithms Based on Polymer Materials
Lvheng Zhang, Jihong Liu
Micromachines (2021) Vol. 12, Iss. 11, pp. 1282-1282
Open Access | Times Cited: 3
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