Ke Liu

3.8k total citations · 1 hit paper
201 papers, 2.6k citations indexed

About

Ke Liu is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Ke Liu has authored 201 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 46 papers in Cognitive Neuroscience and 39 papers in Signal Processing. Recurrent topics in Ke Liu's work include EEG and Brain-Computer Interfaces (31 papers), Blind Source Separation Techniques (24 papers) and Functional Brain Connectivity Studies (17 papers). Ke Liu is often cited by papers focused on EEG and Brain-Computer Interfaces (31 papers), Blind Source Separation Techniques (24 papers) and Functional Brain Connectivity Studies (17 papers). Ke Liu collaborates with scholars based in China, United States and Canada. Ke Liu's co-authors include Jingyu Yang, Yong-Qing Cheng, Wei Wu, Xin Deng, Lixu Li, Ajay Kumar, Fei Ye, Yuanzhu Zhan, Kee‐hung Lai and Yun Chen and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ke Liu

181 papers receiving 2.5k citations

Hit Papers

Digital supply chain management in the COVID-19 crisis: A... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective
    2021 164 citations Ke Liu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Liu China 26 663 505 361 303 268 201 2.6k
Xiaodi Huang Australia 33 462 0.7× 268 0.5× 192 0.5× 262 0.9× 654 2.4× 196 3.8k
Salim Lahmiri Canada 38 582 0.9× 268 0.5× 394 1.1× 541 1.8× 691 2.6× 176 4.5k
Pavel Pudil Czechia 15 1.3k 1.9× 282 0.6× 416 1.2× 134 0.4× 1.5k 5.5× 63 3.5k
Yunhe Pan China 25 1.5k 2.3× 142 0.3× 358 1.0× 133 0.4× 714 2.7× 174 3.2k
Marko Robnik‐Šikonja Slovenia 17 835 1.3× 215 0.4× 339 0.9× 208 0.7× 1.9k 6.9× 86 4.2k
Faisal Saeed Saudi Arabia 29 370 0.6× 87 0.2× 389 1.1× 417 1.4× 901 3.4× 196 3.0k
Atulya K. Nagar United Kingdom 27 691 1.0× 437 0.9× 171 0.5× 466 1.5× 1.4k 5.2× 338 3.7k
Habib Hamam Canada 33 1.0k 1.6× 225 0.4× 351 1.0× 895 3.0× 947 3.5× 339 4.6k
Irina Rish United States 22 399 0.6× 277 0.5× 351 1.0× 209 0.7× 1.5k 5.7× 84 3.5k
Deepak Kumar Jain China 28 964 1.5× 116 0.2× 169 0.5× 217 0.7× 752 2.8× 172 2.9k

Countries citing papers authored by Ke Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ke Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Liu. A scholar is included among the top collaborators of Ke Liu 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 Ke Liu. Ke Liu 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.
Liu, Ke, et al.. (2026). Boosted Performance of Composite Cementitious Materials Derived from Incineration Fly Ash via Thermal Activation. ACS Sustainable Chemistry & Engineering. 14(5). 2556–2569.
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Liu, Ke, Hang Jiang, Yang Hu, et al.. (2025). ADMM-ESINet: A Deep Unrolling Network for EEG Extended Source Imaging. IEEE Journal of Biomedical and Health Informatics. 29(10). 7262–7273.
4.
Yang, Qingshan, et al.. (2024). The analytical lateral load resisting performances of a bracket set frame in a traditional Chinese timber structure. Structures. 61. 106128–106128. 4 indexed citations
5.
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
6.
Cao, Mengyu, et al.. (2023). Treewidth of the q-Kneser graphs. Discrete Applied Mathematics. 342. 174–180.
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Tang, Xianlun, Siyi Wang, Xin Deng, et al.. (2023). Graph-Based Information Separator and Area Convolutional Network for EEG-Based Intention Decoding. IEEE Transactions on Cognitive and Developmental Systems. 16(1). 212–222. 3 indexed citations
9.
Tang, Xianlun, et al.. (2023). A Spatial Filter Temporal Graph Convolutional Network for decoding motor imagery EEG signals. Expert Systems with Applications. 238. 121915–121915. 23 indexed citations
10.
Liu, Wei, et al.. (2022). Joint Interference Alignment and Subchannel Allocation in Ultra-Dense Networks. IEEE Transactions on Vehicular Technology. 71(7). 7287–7296. 9 indexed citations
11.
Zhang, Ze, Ping Fu, Dongliang Wang, et al.. (2022). Intelligent Grazing UAV Based on Airborne Depth Reasoning. Remote Sensing. 14(17). 4188–4188. 19 indexed citations
12.
Gao, Qianqian, Si Zhang, Zhihui Cai, et al.. (2022). Understanding student teachers’ collaborative problem solving competency: Insights from process data and multidimensional item response theory. Thinking Skills and Creativity. 45. 101097–101097. 15 indexed citations
13.
Deng, Xin, et al.. (2021). EEG Analysis of Working Memory Between Sober State and Intoxicated State. IEEE Access. 9. 145900–145911. 2 indexed citations
14.
Deng, Xin, et al.. (2021). Advanced TSGL-EEGNet for Motor Imagery EEG-Based Brain-Computer Interfaces. IEEE Access. 9. 25118–25130. 87 indexed citations
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Liu, Ke, Yijia Lu, Yali Liu, et al.. (2020). Small-Dimension Feature Matrix Construction Method for Decoding Repetitive Finger Movements From Electroencephalogram Signals. IEEE Access. 8. 56060–56071. 5 indexed citations
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Liu, Ke, et al.. (2016). A constant modulus blind beamforming algorithm based on constrained direction vectors. 48(9). 156. 1 indexed citations
20.
Liu, Ke. (2007). New path-following phase unwrapping algorithm based on quality-guided. Guangdian gongcheng. 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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