Qi Yuan
Impact in
- Signal Processing top 0.5%
- Blind Source Separation Techniques
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
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- Blind Source Separation Techniques 33
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- EEG and Brain-Computer Interfaces 43
- Neural dynamics and brain function 12
Qi Yuan
118 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Signal Processing 1.1k
- Cognitive Neuroscience 1.9k
- Computational Mathematics 32
- Artificial Intelligence 1.2k
- Neurology 208
Countries citing papers authored by Qi Yuan
This map shows the geographic impact of Qi Yuan'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 Qi Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Yuan more than expected).
Fields of papers citing papers by Qi Yuan
This network shows the impact of papers produced by Qi Yuan. 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 Qi Yuan. The network helps show where Qi Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Yuan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 8 | |
| 12 | 2020 | 53 | |
| 13 | Bandit Samplers for Training Graph Neural Networks. | 2020 | 1 |
| 14 | 2020 | 84 | |
| 15 | Neural Model-Based Reinforcement Learning for Recommendation | 2018 | 4 |
| 16 | 2018 | 2 | |
| 17 | 2016 | 2 | |
| 18 | Nonlinear Analysis of Electroencephalogram Based on Synchronization Likelihood | 2015 | 0 |
| 19 | Scalable Nonparametric Multiway Data Analysis | 2015 | 22 |
| 20 | 2012 | 91 |
About Qi Yuan
Qi Yuan is a scholar working on Signal Processing, Cognitive Neuroscience, Computational Mathematics, Artificial Intelligence and Health Informatics, having authored 127 papers that have together received 3.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (43 papers), Blind Source Separation Techniques (33 papers), Neural dynamics and brain function (12 papers), Advanced Memory and Neural Computing (10 papers), Imbalanced Data Classification Techniques (9 papers), Advanced Graph Neural Networks (9 papers), ECG Monitoring and Analysis (8 papers) and Topic Modeling (7 papers). The work is most often cited by research in Signal Processing (1.1k citations), Cognitive Neuroscience (1.9k citations), Computational Mathematics (32 citations), Artificial Intelligence (1.2k citations) and Neurology (208 citations). Qi Yuan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Weidong Zhou, Yinxia Liu, Shufang Li, Dongmei Cai, Fangzhou Xu, Shasha Yuan, Jun Zhou, Shujuan Geng, Yan Leng and Jiajing Wu. Their work appears in journals such as International Journal of Neural Systems, Epilepsy & Behavior, Knowledge-Based Systems, Scientific Reports and Journal of Applied Biomedicine.
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.