Yue Leng

962 total citations
64 papers, 688 citations indexed

About

Yue Leng is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Social Psychology. According to data from OpenAlex, Yue Leng has authored 64 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 19 papers in Electrical and Electronic Engineering and 12 papers in Social Psychology. Recurrent topics in Yue Leng's work include EEG and Brain-Computer Interfaces (24 papers), Neuroscience and Neural Engineering (9 papers) and Neural dynamics and brain function (8 papers). Yue Leng is often cited by papers focused on EEG and Brain-Computer Interfaces (24 papers), Neuroscience and Neural Engineering (9 papers) and Neural dynamics and brain function (8 papers). Yue Leng collaborates with scholars based in China, Japan and United States. Yue Leng's co-authors include Xiaolin Zhou, Samuel Labi, Sikai Chen, Sheng Ge, Pan Lin, Haixian Wang, Ruimin Wang, Keiji Iramina, Junfeng Gao and Qing Yang and has published in prestigious journals such as NeuroImage, Journal of Power Sources and Langmuir.

In The Last Decade

Yue Leng

59 papers receiving 676 citations

Peers

Yue Leng
Comparison fields: 5 of 109
  • Cognitive Neuroscience 366
  • Social Psychology 105
  • Electrical and Electronic Engineering 88
  • Cellular and Molecular Neuroscience 75
  • Automotive Engineering 72
Replace Liyu Cao with:
Liyu Cao China
Francesco Donnarumma Italy
Daniel Drew United Kingdom
Anthony J. Ries United States
Nicolina Sciaraffa Italy
Ming Jiang United States
Katsunori Shimohara Japan
József Katona Hungary
Tim Genewein Germany
Stefano Nichele Norway
Liyu Cao China View profile →
Citations per field, relative to Yue Leng
Yue Leng · 1×
Citations per year, relative to Yue Leng
Yue Leng · 1×

Countries citing papers authored by Yue Leng

Since Specialization
Citations

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

Fields of papers citing papers by Yue Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Leng. A scholar is included among the top collaborators of Yue Leng 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 Yue Leng. Yue Leng 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
# Work Indexed citations
1 0
2 1
3 0
4 20
5 3
6 4
7 4
8 1
9 2
10 7
11 3
12 4
13 7
14 2
15 3
16 27
17 6
18 2
19 13
20
Fault current identification of DC traction network based on EEMD sample entropy
1

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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