Zhuliang Yu

2.6k total citations
86 papers, 1.9k citations indexed

About

Zhuliang Yu is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Zhuliang Yu has authored 86 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 21 papers in Computer Vision and Pattern Recognition and 19 papers in Signal Processing. Recurrent topics in Zhuliang Yu's work include EEG and Brain-Computer Interfaces (32 papers), Blind Source Separation Techniques (15 papers) and Advanced Memory and Neural Computing (10 papers). Zhuliang Yu is often cited by papers focused on EEG and Brain-Computer Interfaces (32 papers), Blind Source Separation Techniques (15 papers) and Advanced Memory and Neural Computing (10 papers). Zhuliang Yu collaborates with scholars based in China, Singapore and Hong Kong. Zhuliang Yu's co-authors include Yuanqing Li, Zhenghui Gu, Zhijun Zhang, Tianyou Yu, Wei Wu, Lunan Zheng, Jinyi Long, Yuanqing Li, Cuntai Guan and Yuanqing Li and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Zhuliang Yu

82 papers receiving 1.9k citations

Peers

Zhuliang Yu
Guanghua Xu China
Qiang Gao China
David Looney United Kingdom
Xingang Zhao China
Marnix Nuttin Belgium
Hong Zeng China
Gaoxiang Ouyang China
Stéphane Bonnet France
Banghua Yang China
Mohamed A. Bencherif Saudi Arabia
Guanghua Xu China
Zhuliang Yu
Citations per year, relative to Zhuliang Yu Zhuliang Yu (= 1×) peers Guanghua Xu

Countries citing papers authored by Zhuliang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zhuliang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuliang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuliang Yu. A scholar is included among the top collaborators of Zhuliang Yu 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 Zhuliang Yu. Zhuliang Yu 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.
Liu, Ke, Hang Jiang, Yang Hu, et al.. (2025). ADMM-ESINet: A Deep Unrolling Network for EEG Extended Source Imaging. IEEE Journal of Biomedical and Health Informatics. 29(10). 7262–7273.
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Wu, Hanrui, et al.. (2024). Unsupervised heterogeneous domain adaptation for EEG classification. Journal of Neural Engineering. 21(4). 46018–46018. 5 indexed citations
5.
Liu, Ke, Tao Yang, Zhuliang Yu, et al.. (2024). MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding. IEEE Journal of Biomedical and Health Informatics. 28(12). 7126–7137. 14 indexed citations
6.
Yu, Tianyou, et al.. (2024). Supervised Contrastive Learning-Based Domain Generalization Network for Cross-Subject Motor Decoding. IEEE Transactions on Biomedical Engineering. 72(1). 401–412. 3 indexed citations
7.
Huang, Yuzhu, Zhuliang Yu, Zhenghui Gu, et al.. (2023). Optimized Motor Imagery Paradigm via Multimodal Stimulation and Explainable LSTM Model in fNIRS-based BCI. IFAC-PapersOnLine. 56(2). 6496–6503.
8.
Du, Minghui, Jiajun Zheng, Xiaoli Wang, et al.. (2023). Closed‐Loop Optogenetic Modulation of Neural Activities in Freely Moving Mice with Multimodal Fibers. Advanced Optical Materials. 12(9). 2 indexed citations
9.
Xiao, Yuyang, Xiaoyan Deng, & Zhuliang Yu. (2023). Defending against Adversarial Attacks using Digital Image Processing. Journal of Physics Conference Series. 2577(1). 12016–12016. 1 indexed citations
10.
Chen, Chun, Xiaoyan Deng, Zhuliang Yu, & Zhengtao Wu. (2023). Fabric Defect Detection Using a One-class Classification Based on Depthwise Separable Convolution Autoencoder. Journal of Physics Conference Series. 2562(1). 12053–12053. 4 indexed citations
11.
Yu, Zhuliang, et al.. (2022). SPD-CNN: A plain CNN-based model using the symmetric positive definite matrices for cross-subject EEG classification with meta-transfer-learning. Frontiers in Neurorobotics. 16. 958052–958052. 12 indexed citations
12.
Lin, Weiyuan, Rui Chen, Tingyu Li, et al.. (2020). Validation and Diagnostic Performance of a CFD-Based Non-invasive Method for the Diagnosis of Aortic Coarctation. Frontiers in Neuroinformatics. 14. 613666–613666. 6 indexed citations
13.
Yu, Zhuliang, et al.. (2020). SDM3d: shape decomposition of multiple geometric priors for 3D pose estimation. Neural Computing and Applications. 33(7). 2165–2181. 3 indexed citations
14.
Tan, Mingkui, et al.. (2018). Cartoon-to-Photo Facial Translation with Generative Adversarial Networks. Asian Conference on Machine Learning. 566–581. 3 indexed citations
15.
Chen, Rui, Yu‐Hsiang Juan, He Li, et al.. (2018). Clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography. BioMedical Engineering OnLine. 17(1). 53–53. 27 indexed citations
16.
Chen, Rui, Jing Jing Wang, Zhicheng Du, et al.. (2018). The comparison of short-term prognostic value of T1 mapping with feature tracking by cardiovascular magnetic resonance in patients with severe dilated cardiomyopathy. International journal of cardiac imaging. 35(1). 171–178. 22 indexed citations
17.
Yu, Zhuliang, et al.. (2016). Robust and Persistent Visual Tracking-by-Detection for Robotic Vision Systems. International Journal of Machine Learning and Computing. 6(3). 196–204. 5 indexed citations
18.
Pan, Jiahui, Yuanqing Li, Zhenghui Gu, & Zhuliang Yu. (2013). A comparison study of two P300 speller paradigms for brain–computer interface. Cognitive Neurodynamics. 7(6). 523–529. 35 indexed citations
19.
Li, Yuanqing, Jinyi Long, Tianyou Yu, et al.. (2010). An EEG-Based BCI System for 2-D Cursor Control by Combining Mu/Beta Rhythm and P300 Potential. IEEE Transactions on Biomedical Engineering. 57(10). 2495–2505. 230 indexed citations
20.
Li, Yuanqing, Praneeth Namburi, Zhuliang Yu, et al.. (2009). Voxel Selection in fMRI Data Analysis Based on Sparse Representation. IEEE Transactions on Biomedical Engineering. 56(10). 2439–2451. 81 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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