Lei Yao

1.1k citations
78 papers · 691 indexed · h-index 16
Topics
Neuroscience and Neural Engineering (34 papers)Advanced Memory and Neural Computing (27 papers)EEG and Brain-Computer Interfaces (15 papers)

In The Last Decade

Lei Yao

69 papers receiving 667 citations

Peers

Lei Yao
Comparison fields: 5 of 94
  • Electrical and Electronic Engineering 381
  • Cellular and Molecular Neuroscience 286
  • Biomedical Engineering 279
  • Cognitive Neuroscience 187
  • Computer Networks and Communications 78
Replace Daniela De Venuto with:
Daniela De Venuto Italy
Dina El-Damak United States
Marco Guermandi Italy
Joel Dawson United States
Eleonora Franchi Scarselli Italy
Melika Payvand Switzerland
Wenfeng Zhao United States
Shovan Maity United States
Changhyeon Kim South Korea
Lei Yao relative to Daniela De Venuto Italy Daniela De Venuto's profile →
Citations per field
00.5×2.7×
Daniela De Venuto · 1×
Citations per year

Countries citing papers authored by Lei Yao

Since Specialization
Citations

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

Fields of papers citing papers by Lei Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Yao. A scholar is included among the top collaborators of Lei Yao 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 Lei Yao. Lei Yao 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 2
2 10
3 0
4 0
5 4
6 1
7 27
8 3
9 10
10 23
11 5
12 13
13 3
14 3
15 9
16 9
17
Domestic-overseas Current Situation and Research Progress of Oil-bearing Rose
1
18 9
19
Improved Distance Protection Setting Method for the Single-Phase Ground Fault with Grid-Connected SFCL
2
20 5

About Lei Yao

Lei Yao is a scholar working on Cellular and Molecular Neuroscience, Hardware and Architecture and Cognitive Neuroscience, having authored 78 papers that have together received 691 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (34 papers), Advanced Memory and Neural Computing (27 papers) and EEG and Brain-Computer Interfaces (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (286 citations), Cognitive Neuroscience (187 citations) and Electrical and Electronic Engineering (381 citations). Lei Yao has collaborated with scholars based in China, Singapore and South Korea. Frequent co-authors include Minkyu Je, Wang Ling Goh, Yuan Gao, Jia Hao Cheong, Xiaodan Zou, Tao Tang, Yong Ping Xu, Ning Xue, Kuang‐Wei Cheng and Jie Mei. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Sensors and Physics in Medicine and Biology.

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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