Yunbo Tang

716 total citations
27 papers, 434 citations indexed

About

Yunbo Tang is a scholar working on Cognitive Neuroscience, Signal Processing and Computational Mathematics. According to data from OpenAlex, Yunbo Tang has authored 27 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 11 papers in Signal Processing and 6 papers in Computational Mathematics. Recurrent topics in Yunbo Tang's work include EEG and Brain-Computer Interfaces (19 papers), Blind Source Separation Techniques (10 papers) and Functional Brain Connectivity Studies (8 papers). Yunbo Tang is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), Blind Source Separation Techniques (10 papers) and Functional Brain Connectivity Studies (8 papers). Yunbo Tang collaborates with scholars based in China, Australia and United Kingdom. Yunbo Tang's co-authors include Dan Chen, Xiaoli Li, Hengjin Ke, Rajiv Ranjan, Dan Chen, Albert Y. Zomaya, Lizhe Wang, Tejal Shah, Shasha Zhang and Honghai Liu and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Pattern Recognition.

In The Last Decade

Yunbo Tang

22 papers receiving 429 citations

Peers

Countries citing papers authored by Yunbo Tang

Since Specialization

Citations

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

Fields of papers citing papers by Yunbo Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunbo Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yunbo Tang. A scholar is included among the top collaborators of Yunbo Tang 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 Yunbo Tang. Yunbo Tang 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	Deep Wavelet Temporal-Frequency Attention for nonlinear fMRI factorization in ASD 2025 ·Pattern Recognition ·Fengqin Wang, Hengjin Ke, Hsi‐Pin Ma, Yunbo Tang	7
2	CT-DCENet: Deep EEG Denoising via CNN-Transformer-Based Dual-Stage Collaborative Ensemble Learning 2025 ·IEEE Journal of Biomedical and Health Informatics ·Yunbo Tang, (unknown), (unknown), Dan Chen	0
3	WEAL: Weight-wise Ensemble Adversarial Learning with Gradient Manipulation 2024 ·Knowledge-Based Systems ·(unknown), Jiaming Wang, Yunbo Tang, Fang He, (unknown)	0
4	Fusion of generative adversarial networks and non-negative tensor decomposition for depression fMRI data analysis 2024 ·Information Processing & Management ·Fengqin Wang, Hengjin Ke, Yunbo Tang	9
5	Individual EEG super-resolution via ADMM-based coupled matrix decomposition towards long-term brain monitoring 2024 ·Biomedical Signal Processing and Control ·Yunbo Tang, (unknown), Dan Chen	0
6	V2IED: Dual-view learning framework for detecting events of interictal epileptiform discharges 2024 ·Neural Networks ·(unknown), Dan Chen, (unknown), Yunbo Tang, Weiping Tu, Jingying Chen	3
7	Learning Interpretable Brain Functional Connectivity via Self-Supervised Triplet Network With Depth-Wise Attention 2024 ·IEEE Journal of Biomedical and Health Informatics ·Yunbo Tang, (unknown), Rongchang Liu, Yuanlong Yu	4
8	Accurate apnea and hypopnea localization in PSG with Multi-scale object detection via Dual-modal Feature Learning 2023 ·Biomedical Signal Processing and Control ·(unknown), Dan Chen, Yiping Zuo, (unknown), Yunbo Tang	3
9	Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI 2023 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Hengjin Ke, Dan Chen, Quanming Yao, Yunbo Tang, Jia Wu, Jessica J. M. Monaghan, Paul F. Sowman, David McAlpine	19
10	A multi-task learning model with reinforcement optimization for ASD comorbidity discrimination 2023 ·Computer Methods and Programs in Biomedicine ·(unknown), Dan Chen, Yukang Chen, Yunbo Tang, (unknown), Xiaoli Li	6
11	Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data 2023 ·Neural Networks ·Yunbo Tang, Dan Chen, Jia Wu, Weiping Tu, Jessica J. M. Monaghan, Paul F. Sowman, David McAlpine	9
12	EEG Reconstruction With a Dual-Scale CNN-LSTM Model for Deep Artifact Removal 2022 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), Dan Chen, Yunbo Tang, (unknown), Xiaoli Li	33
13	Deep EEG Superresolution via Correlating Brain Structural and Functional Connectivities 2022 ·IEEE Transactions on Cybernetics ·Yunbo Tang, Dan Chen, Honghai Liu, Chang Cai, Xiaoli Li	23
14	Adaptive density peaks clustering: Towards exploratory EEG analysis 2022 ·Knowledge-Based Systems ·(unknown), Dan Chen, Yunbo Tang, Bo Du, Rajiv Ranjan, Albert Y. Zomaya, Schahram Dustdar	14
15	Learning graph-based relationship of dual-modal features towards subject adaptive ASD assessment 2022 ·Neurocomputing ·Shasha Zhang, Dan Chen, Yunbo Tang, Xiaoli Li	4
16	Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis 2021 ·IEEE Transactions on Knowledge and Data Engineering ·Yunbo Tang, Dan Chen, Yiping Zuo, Xiaoqiang Lu, Rajiv Ranjan, Albert Y. Zomaya, Quanming Yao, Xiaoli Li	3
17	Children ASD Evaluation Through Joint Analysis of EEG and Eye-Tracking Recordings With Graph Convolution Network 2021 ·Frontiers in Human Neuroscience ·Shasha Zhang, Dan Chen, Yunbo Tang, Lei Zhang	35
18	Incremental Factorization of Big Time Series Data with Blind Factor Approximation 2019 ·IEEE Transactions on Knowledge and Data Engineering ·Dan Chen, Yunbo Tang, Hao Zhang, Lizhe Wang, Xiaoli Li	39
19	Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC 2018 ·IEEE Access ·Hengjin Ke, Dan Chen, Xiaoli Li, Yunbo Tang, Tejal Shah, Rajiv Ranjan	72
20	Bayesian tensor factorization for multi-way analysis of multi-dimensional EEG 2018 ·Neurocomputing ·Yunbo Tang, Dan Chen, Lizhe Wang, Albert Y. Zomaya, Jingying Chen, Honghai Liu	40

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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