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Xiuzhen Hu

Observed names: X. Hu, Xiu-Zhen Hu, Xiu-zhen HU, Xiu-zhen Hu, Xiuzhen HU
Observed institutions: Northwestern University, Management and Science University, Shenyang University of Technology, Baylor College of Medicine, Northeast Normal University, Inner Mongolia University, University of Michigan, Inner Mongolia University of Technology
ORCID: 0000-0003-3601-4554
Observed ORCID: 0000-0003-3601-4554
OpenAlex ID: A5101670614
Recognizing metal and acid radical ion-binding sites by integrating ab initio modeling with template-based transferals
2016 · Xiuzhen Hu, Qiwen Dong, et al. · Bioinformatics · 138
Identification of metal ion binding sites based on amino acid sequences
2017 · Xiaoyong Cao, Xiuzhen Hu, et al. · PLoS ONE · 60
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Predicting Protein Fold Types by the General Form of Chou's Pseudo Amino Acid Composition: Approached from Optimal Feature Extractions
2012 · Lei Liu, Xiu-Zhen Hu, et al. · Protein and Peptide Letters · 49
Using support vector machine to predict β‐ and γ‐turns in proteins
2008 · Xiuzhen Hu, Qianzhong Li · Journal of Computational Chemistry · 40
Using Random Forest Algorithm to Predict β-Hairpin Motifs
2011 · Shao-Chun Jia, Xiu-Zhen Hu · Protein and Peptide Letters · 30
Protein ligand-specific binding residue predictions by an ensemble classifier
2016 · Xiuzhen Hu, Kai Wang, et al. · BMC Bioinformatics · 28
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Recognizing metal and acid radical ion-binding sites by integrating ab initio modeling with template-based transferals
2016 · X. Hu, Q. Dong, et al. · Bioinformatics · 21
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Predicting Enzyme Subclasses by Using Support Vector Machine with Composite Vectors
2010 · Ruijia Shi, Xiuzhen Hu · Protein and Peptide Letters · 19
Recognizing Ion Ligand–Binding Residues by Random Forest Algorithm Based on Optimized Dihedral Angle
2020 · Liu Liu, Xiuzhen Hu, et al. · Frontiers in Bioengineering and Biotechnology · 15
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Recognizing ion ligand binding sites by SMO algorithm
2019 · Shan Wang, Xiuzhen Hu, et al. · BMC Molecular and Cell Biology · 15
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Prediction of acid radical ion binding residues by K-nearest neighbors classifier
2019 · Liu Liu, Xiuzhen Hu, et al. · BMC Molecular and Cell Biology · 15
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The Comparison between Random Forest and Support Vector Machine Algorithm for Predicting β-Hairpin Motifs in Proteins
2013 · Shaochun Jia, Xiuzhen Hu, et al. · Engineering · 13
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Recognition of β-hairpin motifs in proteins by using the composite vector
2009 · Xiu-Zhen Hu, Qian-Zhong Li, et al. · Amino Acids · 12
Recognition of Ion Ligand Binding Sites Based on Amino Acid Features with the Fusion of Energy, Physicochemical and Structural Features
2020 · Shan Wang, Xiuzhen Hu, et al. · Current Pharmaceutical Design · 10
The Identification of Metal Ion Ligand-Binding Residues by Adding the Reclassified Relative Solvent Accessibility
2020 · Xiuzhen Hu, Zhenxing Feng, et al. · Frontiers in Genetics · 10
Recognition of 27-Class Protein Folds by Adding the Interaction of Segments and Motif Information
2014 · Zhenxing Feng, Xiuzhen Hu · BioMed Research International · 10
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Association of Life's Simple 7 with mild cognitive impairment in community-dwelling older adults in China: a cross-sectional study
2023 · Mengshu Yang, Yilan Liu, et al. · Frontiers in Aging Neuroscience · 9
Recognizing protein-metal ion ligands binding residues by random forest algorithm with adding orthogonal properties
2022 · Xiaoxiao You, Xiuzhen Hu, et al. · Computational Biology and Chemistry · 9
Prediction of complex super-secondary structure βαβ motifs based on combined features
2015 · Lixia Sun, Xiuzhen Hu, et al. · Saudi Journal of Biological Sciences · 9
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The recognition of multi-class protein folds by adding average chemical shifts of secondary structure elements
2015 · Zhenxing Feng, Xiuzhen Hu, et al. · Saudi Journal of Biological Sciences · 8
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Prediction of β-turn types in protein by using composite vector
2011 · Xiaobo Shi, Xiuzhen Hu, et al. · Journal of Theoretical Biology · 8
Using random forest algorithm to predict super-secondary structure in proteins
2018 · Xiu-zhen Hu, Hai-xia Long, et al. · The Journal of Supercomputing · 7
Predicting Enzyme Subclasses by Using Random Forest with Multicharacteristic Parameters
2014 · Ying Wang, Xiuzhen Hu, et al. · Protein and Peptide Letters · 7
Development and External Validation of a Gait Test Based Diagnostic Model for Detecting Mild Cognitive Impairment
2023 · Mengshu Yang, Yuxin Wang, et al. · Archives of Physical Medicine and Rehabilitation · 5
Prediction of metal ion ligand binding residues by adding disorder value and propensity factors based on deep learning algorithm
2022 · Sixi Hao, Xiuzhen Hu, et al. · Frontiers in Genetics · 5
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Works count: 69
Citation count: 614
H-index: 12
I10-index: 16
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