Na Lu
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in
-
- EEG and Brain-Computer Interfaces 12
-
- Neuroscience and Neural Engineering 4
- Co-authors
- Hongyu Miao (3 shared papers)Xiaodong Ren (2 shared papers)Tengfei Li (2 shared papers)Jing Luo (7 shared papers)Zuren Feng (7 shared papers)Jun Zhang (1 shared paper)Tao Yin (1 shared paper)Bin Wang (1 shared paper)
- Journals
- Computers in Biology and Medicine (4 papers)Biomedical Signal Processing and Control (2 papers)BMC Systems Biology (1 paper)Computer Methods and Programs in Biomedicine (1 paper)IEEE Transactions on Neural Systems and Rehabilitation Engineering (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Na Lu
14 papers receiving 697 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 619
- Human-Computer Interaction 125
- Signal Processing 182
- Cellular and Molecular Neuroscience 270
- Electrical and Electronic Engineering 191
Countries citing papers authored by Na Lu
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
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-authors
The 24 scholars most cited alongside Na Lu, 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 | 2016 | 316 | |
| 2 | 2016 | 69 | |
| 3 | 2020 | 64 | |
| 4 | 2023 | 55 | |
| 5 | 2018 | 34 | |
| 6 | 2018 | 27 | |
| 7 | 2015 | 26 | |
| 8 | 2019 | 24 | |
| 9 | 2015 | 22 | |
| 10 | 2018 | 22 | |
| 11 | 2021 | 21 | |
| 12 | 2017 | 20 | |
| 13 | 2020 | 13 | |
| 14 | 2016 | 2 |
About Na Lu
Na Lu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Signal Processing, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 14 papers that have together received 715 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Neuroscience and Neural Engineering (4 papers), Blind Source Separation Techniques (4 papers), Gaze Tracking and Assistive Technology (3 papers), Advanced Memory and Neural Computing (2 papers), Face and Expression Recognition (1 paper), Gene Regulatory Network Analysis (1 paper) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Cognitive Neuroscience (619 citations), Human-Computer Interaction (125 citations), Signal Processing (182 citations), Cellular and Molecular Neuroscience (270 citations) and Electrical and Electronic Engineering (191 citations). Na Lu has collaborated with scholars based in China and United States. Frequent co-authors include Hongyu Miao, Xiaodong Ren, Tengfei Li, Jing Luo, Zuren Feng, Jun Zhang, Tao Yin, Bin Wang, Xiaobei Zhu and Xinhong Hei. Their work appears in journals such as Computers in Biology and Medicine, Biomedical Signal Processing and Control, BMC Systems Biology, Computer Methods and Programs in Biomedicine and IEEE Transactions on Neural Systems and Rehabilitation Engineering.
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.