Wenxing Hu

873 total citations
36 papers, 523 citations indexed

About

Wenxing Hu is a scholar working on Molecular Biology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Wenxing Hu has authored 36 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Cognitive Neuroscience and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Wenxing Hu's work include Functional Brain Connectivity Studies (15 papers), Bioinformatics and Genomic Networks (10 papers) and Genetic Associations and Epidemiology (8 papers). Wenxing Hu is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Bioinformatics and Genomic Networks (10 papers) and Genetic Associations and Epidemiology (8 papers). Wenxing Hu collaborates with scholars based in United States, China and Germany. Wenxing Hu's co-authors include Yu‐Ping Wang, Vince D. Calhoun, Biao Cai, Aiying Zhang, Gang Qu, Li Xiao, Tony W. Wilson, Julia M. Stephen, Gemeng Zhang and Dongdong Lin and has published in prestigious journals such as Food Chemistry, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Wenxing Hu

35 papers receiving 520 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wenxing Hu United States 14 221 160 126 70 50 36 523
Jessica L. Nielson United States 16 101 0.5× 133 0.8× 73 0.6× 27 0.4× 26 0.5× 29 879
Yulin Wang China 17 118 0.5× 77 0.5× 356 2.8× 74 1.1× 16 0.3× 70 814
Suraj Muley United States 13 335 1.5× 54 0.3× 220 1.7× 27 0.4× 15 0.3× 24 685
Dimosthenis Tsagkrasoulis United Kingdom 6 262 1.2× 55 0.3× 173 1.4× 91 1.3× 26 0.5× 11 631
Xiaoke Hao China 16 202 0.9× 221 1.4× 111 0.9× 163 2.3× 80 1.6× 45 811
Yuhu Shi China 12 234 1.1× 43 0.3× 88 0.7× 34 0.5× 8 0.2× 51 399
An‐Bang Liu Taiwan 16 56 0.3× 157 1.0× 43 0.3× 12 0.2× 67 1.3× 55 695
Xia-an Bi China 16 343 1.6× 116 0.7× 122 1.0× 142 2.0× 32 0.6× 51 727
Shimin Yin China 12 169 0.8× 123 0.8× 24 0.2× 41 0.6× 10 0.2× 45 538

Countries citing papers authored by Wenxing Hu

Since Specialization
Citations

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

Fields of papers citing papers by Wenxing Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenxing Hu

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

All Works

20 of 20 papers shown
1.
2.
Zhang, Yan, et al.. (2025). A drill hole in-situ lithium content measurement method based on pulsed neutron technology. Nuclear Engineering and Technology. 57(7). 103473–103473. 1 indexed citations
3.
Hu, Wenxing, Yu Sun, Shaolong Cao, et al.. (2024). ScaleSC : a superfast and scalable single-cell RNA-seq data analysis pipeline powered by GPU. Bioinformatics Advances. 5(1). vbaf167–vbaf167. 1 indexed citations
4.
Hu, Wenxing, et al.. (2024). A deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding. iScience. 27(6). 110030–110030. 1 indexed citations
5.
Hu, Wenxing, et al.. (2024). Essential genes identification model based on sequence feature map and graph convolutional neural network. BMC Genomics. 25(1). 47–47. 3 indexed citations
6.
Hu, Wenxing, et al.. (2023). Prediction of DNA Methylation based on Multi-dimensional feature encoding and double convolutional fully connected convolutional neural network. PLoS Computational Biology. 19(8). e1011370–e1011370. 4 indexed citations
7.
Cao, Longchao, et al.. (2023). Monitoring of Single-Track Melting States Based on Photodiode Signal during Laser Powder Bed Fusion. Sensors. 23(24). 9793–9793. 6 indexed citations
8.
Gao, Bin, et al.. (2023). Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity. Medical Image Analysis. 90. 102941–102941. 4 indexed citations
9.
Hu, Wenxing, Xiang‐He Meng, Yuntong Bai, et al.. (2021). Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. IEEE Transactions on Medical Imaging. 40(5). 1474–1483. 40 indexed citations
10.
Qu, Gang, Wenxing Hu, Li Xiao, et al.. (2021). Brain Functional Connectivity Analysis via Graphical Deep Learning. IEEE Transactions on Biomedical Engineering. 69(5). 1696–1706. 20 indexed citations
11.
Qu, Gang, Li Xiao, Wenxing Hu, et al.. (2021). Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. IEEE Transactions on Biomedical Engineering. 68(12). 3564–3573. 35 indexed citations
12.
Qu, Gang, Wenxing Hu, Li Xiao, & Yu‐Ping Wang. (2020). A graph deep learning model for the classification of groups with different IQ using resting state fMRI. 9–9. 3 indexed citations
13.
Qiu, Chuan, Kuan‐Jui Su, Qi Zhao, et al.. (2020). Multi-omics Data Integration for Identifying Osteoporosis Biomarkers and Their Biological Interaction and Causal Mechanisms. iScience. 23(2). 100847–100847. 41 indexed citations
14.
Zhang, Aiying, Jian Fang, Wenxing Hu, Vince D. Calhoun, & Yu‐Ping Wang. (2019). A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(4). 1350–1360. 4 indexed citations
15.
Zhang, Aiying, Biao Cai, Wenxing Hu, et al.. (2019). Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence. IEEE Transactions on Medical Imaging. 39(2). 357–365. 9 indexed citations
16.
Hu, Wenxing, Biao Cai, Aiying Zhang, Vince D. Calhoun, & Yu‐Ping Wang. (2019). Deep Collaborative Learning With Application to the Study of Multimodal Brain Development. IEEE Transactions on Biomedical Engineering. 66(12). 3346–3359. 33 indexed citations
17.
Cai, Biao, Gemeng Zhang, Aiying Zhang, et al.. (2019). A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity. Journal of Neuroscience Methods. 332. 108531–108531. 13 indexed citations
18.
Deng, Su-Ping, Wenxing Hu, Vince D. Calhoun, & Yu‐Ping Wang. (2017). Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(5). 1480–1491. 13 indexed citations
19.
Hu, Wenxing, Dongdong Lin, Vince D. Calhoun, & Yu‐Ping Wang. (2016). Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study. PubMed. 2016. 3310–3313. 15 indexed citations
20.
Zhang, Min, et al.. (2011). Correlation between single nucleotide polymorphism of the DNA repair gene XRCCl and systemic lupus erythematosus. 29(2). 115–117. 2 indexed citations

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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