Shurui Li

758 citations
49 papers · 586 indexed · h-index 13
Topics
EEG and Brain-Computer Interfaces (23 papers)Advanced Memory and Neural Computing (10 papers)Neuroscience and Neural Engineering (8 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaJournal of Applied Physics
Partner nations
ChinaPolandRussia

In The Last Decade

Shurui Li

41 papers receiving 577 citations

Peers

Shurui Li
Comparison fields: 5 of 81
  • Cognitive Neuroscience 396
  • Cellular and Molecular Neuroscience 181
  • Electrical and Electronic Engineering 141
  • Human-Computer Interaction 101
  • Signal Processing 89
Replace Shao-Wei Lu with:
Shao-Wei Lu Taiwan
Chun-Shu Wei United States
Dae-Hyeok Lee South Korea
Thapanun Sudhawiyangkul Thailand
Hongmiao Zhang China
Malik Muhammad Naeem Mannan South Korea
Patrick Ofner Austria
Reza Abiri United States
Sutrisno Ibrahim Saudi Arabia
Zijing Mao United States
Shurui Li relative to Shao-Wei Lu Taiwan Shao-Wei Lu's profile →
Citations per field
00.5×3.3×
Shao-Wei Lu · 1×
Citations per year

Countries citing papers authored by Shurui Li

Since Specialization
Citations

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

Fields of papers citing papers by Shurui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shurui Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shurui Li. A scholar is included among the top collaborators of Shurui Li 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 Shurui Li. Shurui Li 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 0
4 2
5 1
6 1
7 1
8 2
9 2
10 12
11 62
12 6
13 6
14 15
15 13
16 38
17 4
18 109
19 8
20 12

About Shurui Li

Shurui Li is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Signal Processing, having authored 49 papers that have together received 586 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (23 papers), Advanced Memory and Neural Computing (10 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Cognitive Neuroscience (396 citations), Human-Computer Interaction (101 citations) and Cellular and Molecular Neuroscience (181 citations). Shurui Li has collaborated with scholars based in China, Poland and Russia. Frequent co-authors include Jing Jin, Andrzej Cichocki, Ian Daly, Chang Liu, Yangyang Miao, Xingyu Wang, Xingyu Wang, Cili Zuo, David Galton and J. Stocks. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Applied Physics.

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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