Xiuzhen Hu

617 total citations
46 papers, 457 citations indexed

About

Xiuzhen Hu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Xiuzhen Hu has authored 46 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Xiuzhen Hu's work include Machine Learning in Bioinformatics (38 papers), Protein Structure and Dynamics (25 papers) and Computational Drug Discovery Methods (14 papers). Xiuzhen Hu is often cited by papers focused on Machine Learning in Bioinformatics (38 papers), Protein Structure and Dynamics (25 papers) and Computational Drug Discovery Methods (14 papers). Xiuzhen Hu collaborates with scholars based in China, United States and Mongolia. Xiuzhen Hu's co-authors include Qiwen Dong, Yang Zhang, Jianyi Yang, Qian‐Zhong Li, Shaobo Li, Xingxing Liu, Lei Liu, Changjiang Ding, Xiaojin Zhang and Kai Wang and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Computational Chemistry.

In The Last Decade

Xiuzhen Hu

44 papers receiving 442 citations

Peers

Countries citing papers authored by Xiuzhen Hu

Since Specialization

Citations

This map shows the geographic impact of Xiuzhen Hu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiuzhen Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuzhen Hu more than expected).

Fields of papers citing papers by Xiuzhen Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiuzhen Hu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiuzhen Hu. The network helps show where Xiuzhen Hu may publish in the future.

Co-authorship network of co-authors of Xiuzhen Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuzhen Hu. A scholar is included among the top collaborators of Xiuzhen Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiuzhen Hu. Xiuzhen Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Association of Life's Simple 7 with mild cognitive impairment in community-dwelling older adults in China: a cross-sectional study 2023 ·Frontiers in Aging Neuroscience ·(unknown), Yilan Liu, Xiuzhen Hu, Dianxu Ren, Qing Yang, Jing Mao, Jing Chen	3
2	Recognition of Metal Ion Ligand-Binding Residues by Adding Correlation Features and Propensity Factors 2022 ·Frontiers in Genetics ·Shuang Xu, Xiuzhen Hu, (unknown), Jing Pang, Kai Sun, (unknown), Ziyang Wang	2
3	Predicting Ca2+ and Mg2+ ligand binding sites by deep neural network algorithm 2021 ·BMC Bioinformatics ·Kai Sun, Xiuzhen Hu, (unknown), Hongbin Wang, (unknown), Ziyang Wang, (unknown), Shuang Xu, (unknown)	3
4	The Identification of Metal Ion Ligand-Binding Residues by Adding the Reclassified Relative Solvent Accessibility 2020 ·Frontiers in Genetics ·Xiuzhen Hu, (unknown), Xiaojin Zhang, (unknown), Shan Wang	6
5	Recognizing Ion Ligand–Binding Residues by Random Forest Algorithm Based on Optimized Dihedral Angle 2020 ·Frontiers in Bioengineering and Biotechnology ·(unknown), Xiuzhen Hu, (unknown), Shan Wang, Kai Sun, Shuang Xu	8
6	Recognizing five molecular ligand‐binding sites with similar chemical structure 2019 ·Journal of Computational Chemistry ·Xiuzhen Hu, (unknown), (unknown)	1
7	Recognizing ion ligand binding sites by SMO algorithm 2019 ·BMC Molecular and Cell Biology ·Shan Wang, Xiuzhen Hu, (unknown), (unknown), (unknown), Kai Sun, Shuang Xu	11
8	Prediction of acid radical ion binding residues by K-nearest neighbors classifier 2019 ·BMC Molecular and Cell Biology ·(unknown), Xiuzhen Hu, (unknown), (unknown), Shan Wang, Shuang Xu, Kai Sun	11
9	Identification of metal ion binding sites based on amino acid sequences 2017 ·PLoS ONE ·Xiaoyong Cao, Xiuzhen Hu, Xiaojin Zhang, (unknown), Changjiang Ding, (unknown), (unknown)	43
10	Prediction of complex super-secondary structure βαβ motifs based on combined features 2015 ·Saudi Journal of Biological Sciences ·Lixia Sun, Xiuzhen Hu, Shaobo Li, (unknown), (unknown)	7
11	Prediction of four kinds of supersecondary structures in enzymes by using svm based on scoring function 2014 ·Biotechnology : an Indian journal ·(unknown), Xiuzhen Hu	1
12	Recognition of beta-alpha-beta motifs in proteins by using Random Forest algorithm 2013 ·Lixia Sun, Xiuzhen Hu	2
13	Prediction of β-turn types in protein by using composite vector 2011 ·Journal of Theoretical Biology ·(unknown), Xiuzhen Hu, Shaobo Li, Xingxing Liu	6
14	Prediction of enzyme subclass by using support vector machine based on improved parameters 2011 ·Xiuzhen Hu, Ting Wang	3
15	PREDICTING MEMBRANE PROTEIN TYPES BY USING SUPPORT VECTOR MACHINE 2010 ·Xiuzhen Hu	1
16	PREDICTING MEMBRANE PROTEIN TYPES USING THE RANDOM FORESTS ALGORITHM 2009 ·Xiuzhen Hu	2
17	RECOGNITION OF β-HAIRPIN MOTIFS IN PROTEINS BY USING QUADRATIC DISCRIMINANT 2009 ·Xiuzhen Hu	1
18	An Improved Method for Predicting Structure Class of 27-Class Protein Folds Using Increment of Diversity 2009 ·Xiuzhen Hu	1
19	The Recognition of 27-Class Protein Folds: Approached by Increment of Diversity Based on Multi-Characteristic Parameters 2009 ·Protein and Peptide Letters ·(unknown), Xiuzhen Hu, Qian‐Zhong Li	5
20	The protein super--secondary structure recognition with the method of diversity measure 2006 ·Xiuzhen Hu, Qian‐Zhong Li	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact