Na Lu

948 total citations
14 papers, 703 citations indexed

About

Na Lu is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience. According to data from OpenAlex, Na Lu has authored 14 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 6 papers in Signal Processing and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Na Lu's work include EEG and Brain-Computer Interfaces (12 papers), Blind Source Separation Techniques (6 papers) and Neuroscience and Neural Engineering (5 papers). Na Lu is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Blind Source Separation Techniques (6 papers) and Neuroscience and Neural Engineering (5 papers). Na Lu collaborates with scholars based in China and United States. Na Lu's co-authors include Hongyu Miao, Tengfei Li, Xiaodong Ren, Jing Luo, Zuren Feng, Jun Zhang, Bin Wang, Tao Yin, Xiaobei Zhu and Xinhong Hei and has published in prestigious journals such as Advanced Functional Materials, Expert Systems with Applications and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Na Lu

14 papers receiving 684 citations

Peers

Countries citing papers authored by Na Lu

Since Specialization

Citations

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

Fields of papers citing papers by Na Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Lu

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

#	Work	Indexed citations
1	A shallow mirror transformer for subject-independent motor imagery BCI 2023 ·Computers in Biology and Medicine ·Jing Luo, (unknown), (unknown), Na Lu, Xiaoyong Ren, Zhenghao Shi, Xinhong Hei	47
2	Improving the performance of multisubject motor imagery-based BCIs using twin cascaded softmax CNNs 2021 ·Journal of Neural Engineering ·Jing Luo, Weiwei Shi, Na Lu, (unknown), Hao Chen, (unknown), Xiaofeng Lu, Xiao‐Fan Wang, Xinhong Hei	21
3	Motor imagery EEG classification based on ensemble support vector learning 2020 ·Computer Methods and Programs in Biomedicine ·Jing Luo, (unknown), Xiaobei Zhu, Bin Wang, Na Lu, (unknown)	63
4	Multidimension‐Controllable Synthesis of Ant Nest‐Structural Electrode Materials with Unique 3D Hierarchical Porous Features toward Electrochemical Applications 2020 ·Advanced Functional Materials ·Fujun Miao, Na Lu, Peng Zhang, Zhenyi Zhang, Guosheng Shao	13
5	An advanced bispectrum features for EEG-based motor imagery classification 2019 ·Expert Systems with Applications ·Lei Sun, Zuren Feng, Na Lu, (unknown), Wenjun Zhang	23
6	Toward optimal feature and time segment selection by divergence method for EEG signals classification 2018 ·Computers in Biology and Medicine ·Jie Wang, Zuren Feng, Na Lu, Jing Luo	34
7	Spatio-temporal discrepancy feature for classification of motor imageries 2018 ·Biomedical Signal Processing and Control ·Jing Luo, Zuren Feng, Na Lu	27
8	An information fusion scheme based common spatial pattern method for classification of motor imagery tasks 2018 ·Biomedical Signal Processing and Control ·(unknown), Zuren Feng, Na Lu, Lei Sun, Jing Luo	22
9	Feature extraction by common spatial pattern in frequency domain for motor imagery tasks classification 2017 ·(unknown), Zuren Feng, Na Lu	20
10	Dynamic frequency feature selection based approach for classification of motor imageries 2016 ·Computers in Biology and Medicine ·Jing Luo, Zuren Feng, Jun Zhang, Na Lu	68
11	Structural identifiability of cyclic graphical models of biological networks with latent variables 2016 ·BMC Systems Biology ·Yulin Wang, Na Lu, Hongyu Miao	2
12	A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines 2016 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Na Lu, Tengfei Li, Xiaodong Ren, Hongyu Miao	316
13	Motor imagery classification via combinatory decomposition of ERP and ERSP using sparse nonnegative matrix factorization 2015 ·Journal of Neuroscience Methods ·Na Lu, Tao Yin	21
14	Structure constrained semi-nonnegative matrix factorization for EEG-based motor imagery classification 2015 ·Computers in Biology and Medicine ·Na Lu, Tengfei Li, (unknown), Xiaodong Ren, Zuren Feng, Hongyu Miao	26

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.

Explore authors with similar magnitude of impact