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Cited by in F6Publishing
For: Jiao Z, Ji Y, Zhang J, Shi H, Wang C. Constructing Dynamic Functional Networks via Weighted Regularization and Tensor Low-Rank Approximation for Early Mild Cognitive Impairment Classification. Front Cell Dev Biol 2020;8:610569. [PMID: 33505965 DOI: 10.3389/fcell.2020.610569] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Ni S, Chen F, Chen G, Yang Y. Mathematical model and genomics construction of developmental biology patterns using digital image technology. Front Genet 2022;13:956415. [DOI: 10.3389/fgene.2022.956415] [Reference Citation Analysis]
2 Zhang Y, Xi Z, Zheng J, Shi H, Jiao Z. GWLS: A Novel Model for Predicting Cognitive Function Scores in Patients With End-Stage Renal Disease. Front Aging Neurosci 2022;14:834331. [DOI: 10.3389/fnagi.2022.834331] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Zhu Z, Lu S, Wang SH, Górriz JM, Zhang YD. BCNet: A Novel Network for Blood Cell Classification. Front Cell Dev Biol 2021;9:813996. [PMID: 35047515 DOI: 10.3389/fcell.2021.813996] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
4 Jiao Z, Gao P, Ji Y, Shi H. Integration and Segregation of Dynamic Functional Connectivity States for Mild Cognitive Impairment Revealed by Graph Theory Indicators. Contrast Media Mol Imaging 2021;2021:6890024. [PMID: 34366726 DOI: 10.1155/2021/6890024] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
5 Ji Y, Zhang Y, Shi H, Jiao Z, Wang SH, Wang C. Constructing Dynamic Brain Functional Networks via Hyper-Graph Manifold Regularization for Mild Cognitive Impairment Classification. Front Neurosci 2021;15:669345. [PMID: 33867931 DOI: 10.3389/fnins.2021.669345] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]