Feifei Qi
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in
-
- EEG and Brain-Computer Interfaces 13
- Neural dynamics and brain function 6
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- Blind Source Separation Techniques 6
- Co-authors
- Wei Wu (8 shared papers)Yuanqing Li (8 shared papers)Zhenghui Gu (5 shared papers)Zhuliang Yu (2 shared papers)Tianyou Yu (4 shared papers)Yingmin Li (2 shared papers)Yi Wan (2 shared papers)Chang Cai (2 shared papers)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (2 papers)IEEE Transactions on Affective Computing (2 papers)Applied Intelligence (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Feifei Qi
15 papers receiving 458 citations
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 330
- Human-Computer Interaction 67
- Signal Processing 106
- Cellular and Molecular Neuroscience 111
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Feifei Qi
This map shows the geographic impact of Feifei Qi'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 Feifei Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Qi more than expected).
Fields of papers citing papers by Feifei Qi
This network shows the impact of papers produced by Feifei Qi. 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 Feifei Qi. The network helps show where Feifei Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Qi, 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 | 2017 | 176 | |
| 2 | 2015 | 76 | |
| 3 | 2020 | 57 | |
| 4 | 2023 | 53 | |
| 5 | 2023 | 29 | |
| 6 | 2019 | 28 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 7 | |
| 10 | 2014 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Feifei Qi
Feifei Qi is a scholar working on Cognitive Neuroscience, Signal Processing, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 17 papers that have together received 465 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Neural dynamics and brain function (6 papers), Blind Source Separation Techniques (6 papers), Advanced Memory and Neural Computing (4 papers), Gaze Tracking and Assistive Technology (3 papers), Neuroscience and Neural Engineering (2 papers), Emotion and Mood Recognition (2 papers) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Cognitive Neuroscience (330 citations), Human-Computer Interaction (67 citations), Signal Processing (106 citations), Cellular and Molecular Neuroscience (111 citations) and Computer Vision and Pattern Recognition (53 citations). Feifei Qi has collaborated with scholars based in China and United States. Frequent co-authors include Wei Wu, Yuanqing Li, Zhenghui Gu, Zhuliang Yu, Tianyou Yu, Yingmin Li, Yi Wan, Chang Cai, Zhenfu Wen and Fei Wang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Affective Computing, Applied Intelligence, IEEE Transactions on Pattern Analysis and Machine Intelligence and Neurocomputing.
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.