Tiejun Liu

1.7k citations
71 papers · 1.2k indexed · h-index 19
Topics
EEG and Brain-Computer Interfaces (51 papers)Neural dynamics and brain function (29 papers)Neuroscience and Neural Engineering (19 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeuroImage

In The Last Decade

Tiejun Liu

66 papers receiving 1.2k citations

Peers

Tiejun Liu
Comparison fields: 5 of 107
  • Cognitive Neuroscience 1.0k
  • Cellular and Molecular Neuroscience 325
  • Signal Processing 199
  • Electrical and Electronic Engineering 138
  • Experimental and Cognitive Psychology 116
Replace Sven Dähne with:
Sven Dähne Germany
Nima Bigdely-Shamlo United States
Alejandro Ojeda United States
Selina C. Wriessnegger Austria
Mahnaz Arvaneh United Kingdom
Yu Mike United States
Scott E. Kerick United States
Reiner Emkes Germany
Luca Pion-Tonachini United States
Tiejun Liu relative to Sven Dähne Germany Sven Dähne's profile →
Citations per field
00.5×1.5×
Sven Dähne · 1×
Citations per year

Countries citing papers authored by Tiejun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiejun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tiejun Liu. A scholar is included among the top collaborators of Tiejun 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 Tiejun Liu. Tiejun 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
#WorkIndexed citations
1 0
2 0
3 1
4 17
5 5
6 2
7 4
8 11
9 13
10 1
11 26
12 30
13 15
14 88
15 56
16 34
17 115
18
Electroencephalogram Based Brain-Computer Interface: Key Techniques and Application Prospect
2
19
Common Spatial Pattern Ensemble Classifier and Its Application in Brain-Computer Interface
13
20 8

About Tiejun Liu

Tiejun Liu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (51 papers), Neural dynamics and brain function (29 papers) and Neuroscience and Neural Engineering (19 papers). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Human-Computer Interaction (111 citations) and Signal Processing (199 citations). Tiejun Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dezhong Yao, Peng Xu, Rui Zhang, Dezhong Yao, Fali Li, Peiyang Li, Yangsong Zhang, Yin Tian, Teng Ma and Diankun Gong. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

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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