Lei Du

1.3k total citations
61 papers, 869 citations indexed

About

Lei Du is a scholar working on Molecular Biology, Cognitive Neuroscience and Genetics. According to data from OpenAlex, Lei Du has authored 61 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Cognitive Neuroscience and 13 papers in Genetics. Recurrent topics in Lei Du's work include Gene expression and cancer classification (24 papers), Bioinformatics and Genomic Networks (18 papers) and Functional Brain Connectivity Studies (14 papers). Lei Du is often cited by papers focused on Gene expression and cancer classification (24 papers), Bioinformatics and Genomic Networks (18 papers) and Functional Brain Connectivity Studies (14 papers). Lei Du collaborates with scholars based in China, United States and Denmark. Lei Du's co-authors include Li Shen, Andrew J. Saykin, Shannon L. Risacher, Lei Guo, Junwei Han, Kefei Liu, Xiaohui Yao, Jingwen Yan, Qinbao Song and Heng Huang and has published in prestigious journals such as Bioinformatics, Cerebral Cortex and IEEE Communications Magazine.

In The Last Decade

Lei Du

53 papers receiving 853 citations

Peers

Countries citing papers authored by Lei Du

Since Specialization

Citations

This map shows the geographic impact of Lei Du'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 Lei Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Du more than expected).

Fields of papers citing papers by Lei Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lei Du. 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 Lei Du. The network helps show where Lei Du may publish in the future.

Co-authorship network of co-authors of Lei Du

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Du. A scholar is included among the top collaborators of Lei Du 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 Lei Du. Lei Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Cation-π interaction mediated, anti-swelling, high-toughness and conductive hydrogel for regulation of PC12 neurite outgrowth 2025 ·European Polymer Journal ·Yanling Wang, Lei Du, Lei‐Jiao Li, (unknown), Xincui Shi, Peibiao Zhang	0
2	Pedestrian flow prediction using a spatiotemporal multi-head attention graph convolutional network integrated with knowledge graph 2025 ·Applied Intelligence ·Lei Du, (unknown), Wenhao Li	0
3	Ethanol extract of Sauropus spatulifolius and its active constituents attenuate LPS-induced acute lung injury via NF-κB inhibition and Nrf2 activation 2025 ·Food Science and Biotechnology ·Lirong Zhao, Lei Du, (unknown), Yutong Guo, Dan Pei, Dong‐Rong Zhu, Hongbing Zhang	1
4	Innovative Neuroimaging Biomarker Distinction of Major Depressive Disorder and Bipolar Disorder through Structural Connectome Analysis and Machine Learning Models 2024 ·Diagnostics ·(unknown), Jingbo Zhang, (unknown), (unknown), Renqiang Yu, Min Jing, (unknown), (unknown), (unknown), Fajin Lv, Lei Du, Mengqi Liu	4
5	Modeling multi-stage disease progression and identifying genetic risk factors via a novel collaborative learning method 2024 ·Bioinformatics ·(unknown), (unknown), (unknown), Lei Du, Junwei Han, (unknown)	0
6	Modeling genotype–protein interaction and correlation for Alzheimer’s disease: a multi-omics imaging genetics study 2024 ·Briefings in Bioinformatics ·(unknown), (unknown), Yan Yang, Lei Guo, Lei Du, (unknown)	4
7	Identification of genetic basis of brain imaging by group sparse multi-task learning leveraging summary statistics 2024 ·Computational and Structural Biotechnology Journal ·(unknown), (unknown), (unknown), (unknown), (unknown), Lei Guo, Junwei Han, Lei Du	0
8	inMTSCCA: An Integrated Multi-Task Sparse Canonical Correlation Analysis for Multi-Omic Brain Imaging Genetics 2023 ·Genomics Proteomics & Bioinformatics ·Lei Du, (unknown), Ying Zhao, (unknown), Lei Guo, Junwei Han	8
9	An undamaged pattern generation method from 3D scanned garmentsample based on finite element approach 2023 ·Industria Textila ·(unknown), (unknown), (unknown), Lei Du, Fengyuan Zou	2
10	Adaptive structured sparse multiview canonical correlation analysis for multimodal brain imaging association identification 2023 ·Science China Information Sciences ·Lei Du, (unknown), (unknown), Shu Zhang, Lei Guo, Junwei Han, (unknown)	2
11	Joint Analysis of Functional and Structural Connectomes Between Preterm and Term Infant Brains via Canonical Correlation Analysis With Locality Preserving Projection 2021 ·Frontiers in Neuroscience ·Shu Zhang, (unknown), Lei Du, Yin Zhang⋆, Sigang Yu, Ruoyang Wang, Xintao Hu, Xi Jiang, Tuo Zhang	6
12	Detecting genetic associations with brain imaging phenotypes in Alzheimer’s disease via a novel structured SCCA approach 2020 ·Medical Image Analysis ·Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Andrew J. Saykin, Lei Guo, Li Shen	65
13	Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis 2019 ·PubMed ·Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen	11
14	Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics 2018 ·PubMed ·Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen	12
15	Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach 2017 ·Lecture notes in computer science ·Lei Du, Tuo Zhang, Kefei Liu, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Junwei Han, Lei Guo, Li Shen, (unknown)	11
16	Sparse Canonical Correlation Analysis via truncated ℓ<inf>1</inf>-norm with application to brain imaging genetics 2016 ·PubMed ·Lei Du, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen	4
17	Sex differences in intrinsic brain functional connectivity underlying human shyness 2015 ·Social Cognitive and Affective Neuroscience ·Xun Yang, Siqi Wang, Keith M. Kendrick, (unknown), Yao Li, Lei Du, Weihong Kuang, Feng Bi, Xiaoqi Huang, Yong He, Qiyong Gong	17
18	GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics 2015 ·Lecture notes in computer science ·Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen, (unknown)	12
19	A Simple Classifier Based on a Single Attribute 2012 ·Lei Du, Qinbao Song	3
20	PRIS in TREC 2008 Blog Track 2008 ·Text REtrieval Conference ·Hui He, (unknown), Lei Du, Li Si, Huiji Gao, Weiran Xu, Jun Guo	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.

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