Feifei Qi

633 total citations
17 papers, 448 citations indexed

About

Feifei Qi is a scholar working on Cognitive Neuroscience, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Feifei Qi has authored 17 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 6 papers in Signal Processing and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Feifei Qi's work include EEG and Brain-Computer Interfaces (13 papers), Neural dynamics and brain function (6 papers) and Blind Source Separation Techniques (6 papers). Feifei Qi is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Neural dynamics and brain function (6 papers) and Blind Source Separation Techniques (6 papers). Feifei Qi collaborates with scholars based in China and United States. Feifei Qi's co-authors include Yuanqing Li, Wei Wu, Zhenghui Gu, Zhuliang Yu, Tianyou Yu, Yi Wan, Yingmin Li, Zhenfu Wen, Chang Cai and Fei Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Feifei Qi

15 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feifei Qi China 8 327 113 111 87 72 17 448
Minmin Miao China 13 327 1.0× 95 0.8× 140 1.3× 78 0.9× 60 0.8× 27 412
Fatemeh Fahimi Singapore 5 344 1.1× 96 0.8× 92 0.8× 93 1.1× 52 0.7× 11 420
Muhammad Zeeshan Baig United Arab Emirates 10 260 0.8× 79 0.7× 82 0.7× 71 0.8× 79 1.1× 38 458
Md. Khademul Islam Molla Bangladesh 15 287 0.9× 153 1.4× 104 0.9× 56 0.6× 56 0.8× 39 471
Jassim M. Abdul-Jabbar Iraq 6 329 1.0× 92 0.8× 129 1.2× 125 1.4× 36 0.5× 36 407
Hyohyeong Kang South Korea 7 360 1.1× 138 1.2× 121 1.1× 74 0.9× 66 0.9× 11 454
Xiangmin Lun China 6 313 1.0× 62 0.5× 127 1.1× 101 1.2× 43 0.6× 17 384
Jinfu Yang China 12 274 0.8× 111 1.0× 124 1.1× 73 0.8× 84 1.2× 34 420
Kais Belwafi Saudi Arabia 12 348 1.1× 76 0.7× 140 1.3× 88 1.0× 50 0.7× 37 480
Shuailei Zhang China 9 244 0.7× 64 0.6× 131 1.2× 85 1.0× 115 1.6× 18 430

Countries citing papers authored by Feifei Qi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Feifei Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Feifei Qi. A scholar is included among the top collaborators of Feifei Qi 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 Feifei Qi. Feifei Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Qi, Feifei, Wang Li, Yanbin He, et al.. (2025). EmotionMIL: An End-to-End Multiple Instance Learning Framework for Emotion Recognition From EEG Signals. IEEE Transactions on Affective Computing. 16(4). 3231–3247.
2.
Qi, Feifei, et al.. (2024). EEG-Based Cross-Subject Emotion Recognition Using Sparse Bayesian Learning With Enhanced Covariance Alignment. IEEE Transactions on Affective Computing. 16(2). 1190–1204.
3.
Li, Jingcong, Fei Wang, Haiyun Huang, Feifei Qi, & Jiahui Pan. (2023). A novel semi-supervised meta learning method for subject-transfer brain–computer interface. Neural Networks. 163. 195–204. 26 indexed citations
4.
Qi, Feifei, David Wipf, Chang Cai, et al.. (2023). Sparse Bayesian Learning for End-to-End EEG Decoding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15632–15649. 50 indexed citations
5.
Gu, Zhenghui, Zhu Liang Yu, Xiaofeng Xie, et al.. (2022). Enhancement of lower limb motor imagery ability via dual-level multimodal stimulation and sparse spatial pattern decoding method. Frontiers in Human Neuroscience. 16. 975410–975410. 1 indexed citations
6.
Liu, Ke, et al.. (2022). Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder–Decoder Network. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 6423–6437. 16 indexed citations
7.
Xie, Xiaofeng, et al.. (2022). Multiple graph fusion based on Riemannian geometry for motor imagery classification. Applied Intelligence. 52(8). 9067–9079. 12 indexed citations
8.
Liu, Fang, Feifei Qi, Xiaofen Xing, & Kailing Guo. (2021). Simple to complex dictionary learning for action recognition. 1–5. 1 indexed citations
9.
Qi, Feifei, Xiaofeng Xie, Zhenghui Gu, et al.. (2021). Single-Trial EEG Classification via Orthogonal Wavelet Decomposition-Based Feature Extraction. Frontiers in Neuroscience. 15. 715855–715855. 6 indexed citations
10.
Xie, Xiaofeng, et al.. (2021). Correlation Alignment in Filter Bank Riemannian Tangent Space for Motor Imagery Classification. 25. 564–570. 2 indexed citations
11.
Qi, Feifei, Yi Wan, & Yingmin Li. (2020). An Improved SIFT Algorithm for Large Tilt Angle Images. 1. 958–962. 1 indexed citations
12.
Qi, Feifei, Wei Wu, Zhenghui Gu, et al.. (2020). Spatiotemporal-Filtering-Based Channel Selection for Single-Trial EEG Classification. IEEE Transactions on Cybernetics. 51(2). 558–567. 56 indexed citations
13.
Li, Yingmin, Feifei Qi, & Yi Wan. (2019). Improvements On Bicubic Image Interpolation. Lanzhou University Institutional Repository. 1316–1320. 25 indexed citations
14.
Qi, Feifei, et al.. (2018). Study on the effect of artefact rejection on BCI performance. 1–5. 1 indexed citations
15.
Wu, Wei, et al.. (2017). Deep learning based on Batch Normalization for P300 signal detection. Neurocomputing. 275. 288–297. 174 indexed citations
16.
Qi, Feifei, Yuanqing Li, & Wei Wu. (2015). RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG. IEEE Transactions on Neural Networks and Learning Systems. 26(12). 3070–3082. 74 indexed citations
17.
Qi, Feifei, Yuanqing Li, & Wei Wu. (2014). Spatio-temporally regularized common spatial patterns (STR-CSP) for single-trial EEG classification. 40. 7212–7215. 3 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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