Li-Chen Shi

1.1k total citations
14 papers, 857 citations indexed

About

Li-Chen Shi is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Li-Chen Shi has authored 14 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Experimental and Cognitive Psychology, 8 papers in Cognitive Neuroscience and 6 papers in Human-Computer Interaction. Recurrent topics in Li-Chen Shi's work include Sleep and Work-Related Fatigue (8 papers), EEG and Brain-Computer Interfaces (7 papers) and Gaze Tracking and Assistive Technology (6 papers). Li-Chen Shi is often cited by papers focused on Sleep and Work-Related Fatigue (8 papers), EEG and Brain-Computer Interfaces (7 papers) and Gaze Tracking and Assistive Technology (6 papers). Li-Chen Shi collaborates with scholars based in China. Li-Chen Shi's co-authors include Bao‐Liang Lu, Yingying Jiao, Xiao‐Wei Wang, Jiaxin Ma, Hong Yu, Duanbing Chen, Fei Yuan and Keyun Wang and has published in prestigious journals such as Neurocomputing, Physica A Statistical Mechanics and its Applications and PubMed.

In The Last Decade

Li-Chen Shi

14 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li-Chen Shi China 11 714 564 215 116 114 14 857
Yifei Lu China 4 687 1.0× 647 1.1× 210 1.0× 78 0.7× 125 1.1× 5 920
Robert Jenke Germany 6 671 0.9× 563 1.0× 126 0.6× 148 1.3× 97 0.9× 7 849
Tien-Lin Wu Taiwan 5 846 1.2× 609 1.1× 120 0.6× 203 1.8× 86 0.8× 7 975
Zijing Mao United States 9 490 0.7× 264 0.5× 86 0.4× 106 0.9× 46 0.4× 17 615
Sarah Laszlo United States 18 1.1k 1.6× 227 0.4× 68 0.3× 109 0.9× 128 1.1× 34 1.4k
Marcin Kołodziej Poland 13 300 0.4× 222 0.4× 95 0.4× 96 0.8× 100 0.9× 66 681
Andrzej Majkowski Poland 12 298 0.4× 220 0.4× 91 0.4× 101 0.9× 75 0.7× 59 607
Yingying Jiao China 7 358 0.5× 305 0.5× 106 0.5× 55 0.5× 60 0.5× 22 517
Hong Zeng China 14 396 0.6× 257 0.5× 96 0.4× 46 0.4× 52 0.5× 34 662
Cunbo Li China 13 649 0.9× 266 0.5× 59 0.3× 62 0.5× 99 0.9× 37 855

Countries citing papers authored by Li-Chen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Li-Chen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li-Chen Shi. 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 Li-Chen Shi. The network helps show where Li-Chen Shi may publish in the future.

Co-authorship network of co-authors of Li-Chen Shi

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

All Works

14 of 14 papers shown
1.
Shi, Li-Chen, et al.. (2017). Heterogeneous information network model for equipment-standard system. Physica A Statistical Mechanics and its Applications. 490. 935–943. 4 indexed citations
2.
Wang, Keyun, et al.. (2015). Research on Module Partition and Solution Evaluation Method Based on the Interface Relationship. 21. 32–35. 1 indexed citations
3.
Ma, Jiaxin, Li-Chen Shi, & Bao‐Liang Lu. (2014). An EOG-based Vigilance Estimation Method Applied for Driver Fatigue Detection. 2(1). 41–51. 28 indexed citations
4.
Shi, Li-Chen, et al.. (2013). A robust principal component analysis algorithm for EEG-based vigilance estimation. PubMed. 2013. 6623–6626. 18 indexed citations
5.
Shi, Li-Chen, Yingying Jiao, & Bao‐Liang Lu. (2013). Differential entropy feature for EEG-based vigilance estimation. PubMed. 2013. 6627–6630. 275 indexed citations
6.
Shi, Li-Chen & Bao‐Liang Lu. (2012). EEG-based vigilance estimation using extreme learning machines. Neurocomputing. 102. 135–143. 95 indexed citations
7.
Ma, Jiaxin, et al.. (2011). A novel method for EOG features extraction from the forehead. PubMed. 2011. 3075–8. 14 indexed citations
8.
Wang, Xiao‐Wei, et al.. (2011). EEG-based emotion recognition during watching movies. 667–670. 274 indexed citations
9.
Shi, Li-Chen, et al.. (2011). Evidence of rapid gender processing revealed by ERSP. PubMed. 2011. 7360–7363. 2 indexed citations
10.
Shi, Li-Chen & Bao‐Liang Lu. (2010). Off-line and on-line vigilance estimation based on linear dynamical system and manifold learning. PubMed. 2010. 6587–6590. 58 indexed citations
11.
Ma, Jiaxin, Li-Chen Shi, & Bao‐Liang Lu. (2010). Vigilance estimation by using electrooculographic features. PubMed. 2010. 6591–6594. 23 indexed citations
12.
13.
Shi, Li-Chen & Bao‐Liang Lu. (2008). Dynamic clustering for vigilance analysis based on EEG. PubMed. 2008. 54–57. 24 indexed citations
14.
Shi, Li-Chen, Hong Yu, & Bao‐Liang Lu. (2007). Semi-Supervised Clustering for Vigilance Analysis Based on EEG. IEEE International Conference on Neural Networks. 1518–1523. 15 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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