Weibo Yi

942 total citations
39 papers, 649 citations indexed

About

Weibo Yi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Weibo Yi has authored 39 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 21 papers in Cellular and Molecular Neuroscience and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Weibo Yi's work include EEG and Brain-Computer Interfaces (36 papers), Neuroscience and Neural Engineering (21 papers) and Advanced Memory and Neural Computing (12 papers). Weibo Yi is often cited by papers focused on EEG and Brain-Computer Interfaces (36 papers), Neuroscience and Neural Engineering (21 papers) and Advanced Memory and Neural Computing (12 papers). Weibo Yi collaborates with scholars based in China, Switzerland and United Kingdom. Weibo Yi's co-authors include Dong Ming, Hongzhi Qi, Shuang Qiu, Lixin Zhang, Feng He, Kun Wang, Baikun Wan, Shuang Qiu, Minpeng Xu and Peng Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Weibo Yi

34 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weibo Yi China 15 576 260 134 123 104 39 649
Soheil Borhani United States 9 655 1.1× 303 1.2× 97 0.7× 147 1.2× 130 1.3× 13 724
Andrea Biasiucci Switzerland 7 671 1.2× 297 1.1× 224 1.7× 80 0.7× 95 0.9× 13 822
Reiner Emkes Germany 8 882 1.5× 208 0.8× 122 0.9× 81 0.7× 111 1.1× 9 990
Ravikiran Mane Singapore 10 465 0.8× 200 0.8× 114 0.9× 100 0.8× 90 0.9× 12 595
Christopher C. Cline United States 10 547 0.9× 303 1.2× 72 0.5× 139 1.1× 115 1.1× 20 665
Simon L. Kappel Denmark 15 579 1.0× 198 0.8× 189 1.4× 78 0.6× 90 0.9× 29 739
Anirban Chowdhury United Kingdom 15 597 1.0× 230 0.9× 191 1.4× 134 1.1× 130 1.3× 27 712
Manuela Petti Italy 11 781 1.4× 225 0.9× 180 1.3× 55 0.4× 76 0.7× 41 930
Hohyun Cho South Korea 13 797 1.4× 355 1.4× 72 0.5× 184 1.5× 128 1.2× 23 851

Countries citing papers authored by Weibo Yi

Since Specialization
Citations

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

Fields of papers citing papers by Weibo Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weibo Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Weibo Yi. A scholar is included among the top collaborators of Weibo Yi 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 Weibo Yi. Weibo Yi 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.
Wang, Kun, Yongzhi Huang, Jiayuan Meng, et al.. (2025). Enhancing motor imagery EEG classification with a Riemannian geometry-based spatial filtering (RSF) method. Neural Networks. 188. 107511–107511.
2.
Jin, Yue, Xiaolin Xiao, Kun Wang, et al.. (2025). Augmenting Electroencephalogram Transformer for Steady-State Visually Evoked Potential-Based Brain–Computer Interfaces. Cyborg and Bionic Systems. 6. 379–379.
3.
Wang, Kun, et al.. (2025). Adaptive Neurofeedback Training Using a Virtual Reality Game Enhances Motor Imagery Performance in Brain–Computer Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 2956–2966.
4.
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
5.
Xu, Minpeng, et al.. (2023). A high-speed hybrid brain-computer interface with more than 200 targets. Journal of Neural Engineering. 20(1). 16025–16025. 22 indexed citations
6.
Wang, Kun, Lichao Xu, Xinwei Sun, et al.. (2023). Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals. Journal of Neural Engineering. 20(6). 66011–66011. 18 indexed citations
7.
Wang, Kun, Jiayuan Meng, Yue Jin, et al.. (2023). Cross-dataset transfer learning for motor imagery signal classification via multi-task learning and pre-training. Journal of Neural Engineering. 20(5). 56037–56037. 26 indexed citations
8.
Meng, Jiayuan, Kun Wang, Weibo Yi, et al.. (2023). Rhythmic temporal prediction enhances neural representations of movement intention for brain–computer interface. Journal of Neural Engineering. 20(6). 66004–66004. 2 indexed citations
9.
Chen, Jiaming, et al.. (2023). Filter bank sinc-convolutional network with channel self-attention for high performance motor imagery decoding. Journal of Neural Engineering. 20(2). 26001–26001. 20 indexed citations
10.
Xiao, Xiaolin, Weibo Yi, Fangzhou Xu, et al.. (2023). A novel visual brain-computer interfaces paradigm based on evoked related potentials evoked by weak and small number of stimuli. Frontiers in Neuroscience. 17. 2 indexed citations
11.
Qiu, Shuang, Weibo Yi, Huiguang He, et al.. (2023). Investigating EEG-based cross-session and cross-task vigilance estimation in BCI systems. Journal of Neural Engineering. 20(5). 56001–56001. 4 indexed citations
12.
Qiu, Shuang, Shengpei Wang, Weiwei Peng, et al.. (2021). Continuous theta-burst stimulation modulates resting-state EEG microstates in healthy subjects. Cognitive Neurodynamics. 16(3). 621–631. 13 indexed citations
13.
Chen, Chao, Xiaolin Xiao, Abdelkader Nasreddine Belkacem, et al.. (2021). Efficacy Evaluation of Neurofeedback-Based Anxiety Relief. Frontiers in Neuroscience. 15. 758068–758068. 14 indexed citations
14.
Yi, Weibo, et al.. (2021). Inter-stimulus phase coherence in steady-state somatosensory evoked potentials and its application in improving the performance of single-channel MI-BCI. Journal of Neural Engineering. 18(4). 46088–46088. 6 indexed citations
15.
Chen, Zhitang, Zhongpeng Wang, Kun Wang, Weibo Yi, & Hongzhi Qi. (2019). Recognizing Motor Imagery Between Hand and Forearm in the Same Limb in a Hybrid Brain Computer Interface Paradigm: An Online Study. IEEE Access. 7. 59631–59639. 12 indexed citations
16.
Jiang, Shenlong, Zhongpeng Wang, Weibo Yi, et al.. (2019). Current Change Rate Influences Sensorimotor Cortical Excitability During Neuromuscular Electrical Stimulation. Frontiers in Human Neuroscience. 13. 152–152. 6 indexed citations
17.
Qiu, Shuang, et al.. (2019). The lasting effects of 1Hz repetitive transcranial magnetic stimulation on resting state EEG in healthy subjects. PubMed. 2019. 5918–5922. 1 indexed citations
18.
Wang, Zhongpeng, Long Chen, Weibo Yi, et al.. (2018). Enhancement of cortical activation for motor imagery during BCI-FES training. PubMed. 2018. 2527–2530. 3 indexed citations
19.
Yi, Weibo, Shuang Qiu, Kun Wang, et al.. (2016). EEG oscillatory patterns and classification of sequential compound limb motor imagery. Journal of NeuroEngineering and Rehabilitation. 13(1). 11–11. 48 indexed citations
20.
Yi, Weibo, Shuang Qiu, Kun Wang, et al.. (2014). Evaluation of EEG Oscillatory Patterns and Cognitive Process during Simple and Compound Limb Motor Imagery. PLoS ONE. 9(12). e114853–e114853. 62 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Soheil Borhani Breakdown of academic impact, for papers by Andrea Biasiucci Breakdown of academic impact, for papers by Reiner Emkes Breakdown of academic impact, for papers by Ravikiran Mane Breakdown of academic impact, for papers by Christopher C. Cline Breakdown of academic impact, for papers by Simon L. Kappel Breakdown of academic impact, for papers by Anirban Chowdhury Breakdown of academic impact, for papers by Manuela Petti Breakdown of academic impact, for papers by Hohyun Cho
Rankless by CCL
2026