Yunyuan Gao

1.4k total citations
59 papers, 898 citations indexed

About

Yunyuan Gao is a scholar working on Cognitive Neuroscience, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Yunyuan Gao has authored 59 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 17 papers in Signal Processing and 14 papers in Biomedical Engineering. Recurrent topics in Yunyuan Gao's work include EEG and Brain-Computer Interfaces (40 papers), Blind Source Separation Techniques (17 papers) and Emotion and Mood Recognition (11 papers). Yunyuan Gao is often cited by papers focused on EEG and Brain-Computer Interfaces (40 papers), Blind Source Separation Techniques (17 papers) and Emotion and Mood Recognition (11 papers). Yunyuan Gao collaborates with scholars based in China and United States. Yunyuan Gao's co-authors include Yingchun Zhang, Ming Meng, Feng Fang, Jianhai Zhang, Qingshan She, Yuliang Ma, Qiang Chen, Jia Liu, Bo Gao and Zhizeng Luo and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Journal of Affective Disorders and Information Sciences.

In The Last Decade

Yunyuan Gao

56 papers receiving 878 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunyuan Gao China 17 636 180 155 153 123 59 898
Yuliang Ma China 18 527 0.8× 282 1.6× 139 0.9× 118 0.8× 150 1.2× 51 840
Tohid Yousefi Rezaii Iran 16 405 0.6× 179 1.0× 106 0.7× 152 1.0× 117 1.0× 57 762
Zhao Lv China 17 526 0.8× 201 1.1× 123 0.8× 170 1.1× 152 1.2× 85 888
Gan Huang China 22 924 1.5× 222 1.2× 140 0.9× 126 0.8× 178 1.4× 100 1.5k
Theerawit Wilaiprasitporn Thailand 16 740 1.2× 178 1.0× 190 1.2× 167 1.1× 76 0.6× 56 1.1k
Junfeng Gao China 16 594 0.9× 132 0.7× 87 0.6× 124 0.8× 89 0.7× 48 854
Mehmet Akın Türkiye 14 710 1.1× 255 1.4× 232 1.5× 271 1.8× 146 1.2× 25 1.1k
Sachin Taran India 14 582 0.9× 157 0.9× 208 1.3× 229 1.5× 95 0.8× 38 846
Md. Kafiul Islam Bangladesh 14 565 0.9× 80 0.4× 175 1.1× 203 1.3× 60 0.5× 62 945
Rami Alazrai Jordan 18 305 0.5× 104 0.6× 189 1.2× 120 0.8× 205 1.7× 59 853

Countries citing papers authored by Yunyuan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yunyuan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunyuan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Yunyuan Gao. A scholar is included among the top collaborators of Yunyuan Gao 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 Yunyuan Gao. Yunyuan Gao 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.
Meng, Ming, et al.. (2025). Decouple and Rebalance: Towards effective joint learning for EEG-fNIRS integration. Neurocomputing. 638. 130128–130128.
2.
3.
Xu, Haiqi, Qingshan She, Ming Meng, Yunyuan Gao, & Yingchun Zhang. (2025). EFDFNet: A multimodal deep fusion network based on feature disentanglement for attention state classification. Biomedical Signal Processing and Control. 109. 108042–108042. 1 indexed citations
4.
5.
Gao, Yunyuan, et al.. (2024). A novel multi-morphological representation approach for multi-source EEG signals. Neurocomputing. 617. 129010–129010. 1 indexed citations
6.
Gao, Yunyuan, et al.. (2024). Emotion recognition from multichannel EEG signals based on low-rank subspace self-representation features. Biomedical Signal Processing and Control. 99. 106877–106877. 5 indexed citations
7.
Gao, Yunyuan, et al.. (2024). Multi-layer transfer learning algorithm based on improved common spatial pattern for brain–computer interfaces. Journal of Neuroscience Methods. 415. 110332–110332. 1 indexed citations
8.
Gao, Yunyuan, et al.. (2023). Hybrid EEG-fNIRS Brain Computer Interface Based on Common Spatial Pattern by Using EEG-Informed General Linear Model. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 28 indexed citations
9.
Gao, Yunyuan, et al.. (2023). Analysis of Multiscale Corticomuscular Coupling Networks Based on Ordinal Patterns. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1045–1054. 1 indexed citations
10.
Gao, Yunyuan, Mengting Li, Yun Peng, Feng Fang, & Yingchun Zhang. (2023). Double Stage Transfer Learning for Brain–Computer Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1128–1136. 14 indexed citations
11.
She, Qingshan, Tie Chen, Feng Fang, et al.. (2023). Improved Domain Adaptation Network Based on Wasserstein Distance for Motor Imagery EEG Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1137–1148. 60 indexed citations
12.
Gao, Yunyuan, et al.. (2023). EEG multi-domain feature transfer based on sparse regularized Tucker decomposition. Cognitive Neurodynamics. 18(1). 185–197. 3 indexed citations
13.
Gao, Yunyuan, et al.. (2022). TwinsReID: Person re-identification based on twins transformer's multi-level features. Mathematical Biosciences & Engineering. 20(2). 2110–2130. 4 indexed citations
14.
Liu, Hongming, Yunyuan Gao, Wei Huang, et al.. (2022). Inter-muscular coherence and functional coordination in the human upper extremity after stroke. Mathematical Biosciences & Engineering. 19(5). 4506–4525. 8 indexed citations
15.
Gao, Yunyuan, et al.. (2022). EEG emotion recognition based on enhanced SPD matrix and manifold dimensionality reduction. Computers in Biology and Medicine. 146. 105606–105606. 31 indexed citations
16.
Fang, Feng, Yunyuan Gao, Paul E. Schulz, Sudhakar Selvaraj, & Yingchun Zhang. (2021). Brain controllability distinctiveness between depression and cognitive impairment. Journal of Affective Disorders. 294. 847–856. 26 indexed citations
17.
Wu, Zhanxiong, Yunyuan Gao, Thomas Potter, et al.. (2021). Interactions Between Aging and Alzheimer’s Disease on Structural Brain Networks. Frontiers in Aging Neuroscience. 13. 639795–639795. 20 indexed citations
18.
Ma, Yuliang, et al.. (2019). Emotion Recognition Based On CNN. 8627–8630. 27 indexed citations
19.
Gao, Yunyuan, et al.. (2019). Synchronous analysis of brain regions based on multi-scale permutation transfer entropy. Computers in Biology and Medicine. 109. 272–279. 22 indexed citations
20.
Gao, Yunyuan, et al.. (2003). Wavelets analysis of electrochemical noise generated during corrosion processes of pure Al in NaCl solution. 中国有色金属学会会刊(英文版). 13(3). 1 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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